What Are The Different Types Of Conceptual Model? 92 Things You Should Know

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92 Things You Should Know About What Are The Different Types Of Conceptual Model | Design Technology

• The OzCoast website provides information about the use of conceptual modelling. Conceptual model templates have been developed for the seven different types of estuaries and coastal waterways. This will allow users to represent the causal pressures in their catchment and the stressors that impact upon their waterway. - Source: Internet
• Characteristics of the process: conceptualisation, i.e. creation of a conceptual model of reality. - Source: Internet
• The efforts to achieve a semantic interoperability of IFLA LRM and CIDOC CRM reference models are manifested not only on the level of expert consultations and cooperation of professionals from both communities, but also in the form of a draft of a harmonized model integrating entities from both models. The model designated as FRBRoo (IFLA, 2015) has been available from 2009 in gradually developing versions for the whole family of the FRBR models. Following the adoption of the IFLA LRM model the LRMoo Working Group was established in 2017 that launched the revision of FRBRoo and begins preparing a project of an object oriented model LRMoo (Riva and Žumer, 2018). - Source: Internet
• One of the methods of externalizing mental models is the description of behavioural patterns where the internal mental models manifest themselves. The standard method applied for externalizing subjective conceptual models uses semantic networks (languages serving for their expression have been characterized in part 2.3). - Source: Internet
• This blog offers brief, practical insight on selecting between a theoretical or conceptual framework for inexperienced researchers, as well as suggestions about which one might be best for your study. There are in-depth, scholarly discussions about the differences between the two and I direct readers to a few articles if they would like to dig deeper into the differences between the frameworks. (See Imenda, 2014; Rocco & Plakhotnik, 2009; Varpio et al., 2020.) - Source: Internet
• The hand-drawn conceptual model could perhaps be updated with some new graphical features — for example, representing two-lane and three-lane highway segments, major cities, and rest stops. Or not. It’s a judgment call about whether the updates would be useful for discourse at that stage (and in the future). - Source: Internet
• Further two models differ as concerns their dependence upon the platform, the latter in MDA being considered as the set of resources upon which the given computer system has been created and that is used for the implementation or the support of the system. A conceptual model that does not depend upon the platform (PIM – Platform Independent Model) stands for a conceptual model of reality represented by the information system on the semantic level, without any data about their implementation in a specific computing environment. A model for a concrete platform (PSM – Platform Specific Model), on the other hand, serves for modelling objects in a particular information system or application. - Source: Internet
• The purpose of the IFLA LRM model is to provide a framework for the analysis of the logical structure of information relating to library sources from the viewpoint of their users. The same as the models of the FRBR family, the IFLA LRM models information, traditionally designated as bibliographic and authority data, it does not focus upon administrative and operational data. The language for expressing the IFLA LRM conceptual model is the language of entity-relational models as has been used in the FRBR model already. However, this time the language has been applied in the expanded EER version (enhanced entity-relationship model/diagram) enabling also to model hierarchical relations of generalization and specialization, as well with inheritance of attributes and relations. This aspect draws the chosen methodology closer to the methods founded upon object oriented approach. - Source: Internet
• The logical model will take these entities a step further and work out the details of how their attributes and relationships. It defines the structure, but does not concern itself with the technical aspects of how the database will be constructed. Read more about logical data models. - Source: Internet
• Also in the case of the facet WITH WHAT the general rule is applicable that the model can be created out of anything, it can be abstract or concrete, it can – but need not – be an object of the same type as the original. Conforming to the degree of abstraction the models can be arranged on a continuous scale from the general (abstract) ones down to concrete models. The differentiation between these two types is guided along the line standing for the share of physical components and their role in the given model. Whereas the physical parts in the concrete models stand for the contents of the model (a gypsum model of a building or a statue, a prototype of a car or of a user interface of an information system can serve as examples), possible physical parts of abstract models serve only for recording the contents of the model, namely as its material carrier. - Source: Internet
• Furthermore, the conceptual model serves many purposes and use cases. Hence, for one and the same conceptual model there could be multiple logical and physical model existing, e.g. the concept of a “Sales Order” can be represented in SAP S/4 HANA via CDS Views, while it could be interpreted in Arriba using a Java class definition. - Source: Internet
• Even after you come up with a potential model, it’s a good idea to repeat the review and revise process as this canhelp in refining the model. Over time, you may develop a number of models with each one superseding the previousone. For example, I have presented a basic model at a conference made major changes based on feedback beforepresenting to another conference, then made further changes from feedback for when it was used in an article - Source: Internet
• You define conceptual models in Design Studio Model projects, which are not deployed to run-time environments. You convert conceptual model entities into application entities (you save application entities in application cartridge projects). This conversion is called realization. You can enrich the application-specific entities with additional configuration and deploy the application cartridge projects to run-time environments. - Source: Internet
• The memory and fund institutions, naturally, have at their disposal operational and administrative systems whose conceptual models should be based upon theoretical foundations formulated by computer science. However, much the same as the computer science theory of conceptual models is adapted to the specificity of modelling in computer science, it is necessary to direct the theory of conceptual models in the information science upon the specific objects of its investigation, namely the information sources and the processes of the communication chain, wherein the process of content analysis and the indexing of the information sources play important roles. The first step in this direction was the FRBR model. Originally it was described as a model intended for the designers of library information systems. At the present day IFLA LRM, its consolidated version, has been declared to be the conceptual model of the bibliographic universe, representing an outstanding impulse for the development of theoretical thought in the information science for the 21st century. - Source: Internet
• Entity-relationship models are one of the most popular ways to create a quick and clear conceptual data model. An ER model consists of entities, attributes, and relationships. The nature of these relationships can be quickly and easily shown by using either Crow’s Foot or Chen notation. Either of these notation systems can be used to indicate cardinality, in other words whether it’s a one-to-one, one-to-many, or many-to-many relationship. You can also use class diagrams to create a conceptual data model. - Source: Internet
• The result of such an alignment process on conceptual level is a catalog with standardized and curated business domain models: the SAP One Domain Model. It encapsulates Business Semantic and Domain Knowledge (Entities, Attributes, Relationships, etc.) which are aligned, shared and trusted across all SAP applications. - Source: Internet
• A concept model[8] is not a conceptual model as in the common industry usage. A concept model is about defining as precisely as possible what you mean by the words you use. To say it differently, a concept model is a word model — a model of words — where the words represent concepts. - Source: Internet
• As has been stated, a conceptual model is a thing created by concepts. A concept, however, is not communicable (it is implicit, tacit); for any communication or handling it shall be expressed by some language. Accordingly, the format of a conceptual model is a modelling language. - Source: Internet
• [8] The meaning of ‘concept model’ in this discussion is from the OMG standard Semantics of Business Vocabulary and Business Rules (SBVR). For more information refer to http://www.brcommunity.com/standards.php. - Source: Internet
• So, a rough map is drawn up by hand (it’s 1956!) showing the locations “Los Angeles, CA” and “Jacksonville, FL” connected by the new Interstate being conceived (“I-10”, so labelled on the model).[1] Discourse about the new route is successfully initiated, and its engineering eventually moves on to the design and then the construction phases. The conceptual model is judged to have been a success. - Source: Internet
• A conceptual model is a representation of key elements of some target problem purposely excluding any design complexity. A conceptual model can be viewed as a part or phase of discourse about that target problem, usually early-on. After that phase you might simply file it away. In that sense a conceptual model is high-level. - Source: Internet
• Not much there! No concept model has been created. So far, there are no definitions for ‘city’, ‘Interstate Highway’, or ’links’.[4] - Source: Internet
• A conceptual model’s primary objective is to convey the fundamental principles and basic functionality of the system which it represents. Also, a conceptual model must be developed in such a way as to provide an easily understood system interpretation for the model’s users. A conceptual model, when implemented properly, should satisfy these fundamental objectives: - Source: Internet
• The viewpoint of formalization degree enables the statement that the languages expressing the semantics of conceptual models form a continuous scale from the not formalized to fully formalized ones. However, this continuous scale allows to discover certain thought boundaries separating the following types of languages: fully informal natural language, partially formalized natural language (such as language with a controlled vocabulary or the so-called special languages comprising professional terminology), formalized artificial language (e.g. ER, BPMN, SQL Schema, XML Schema, RDFS, OWL, UML), and finally the rigorously formal language of logic (the most often frequented are the languages of propositional, predicate and descriptive logic). - Source: Internet
• The relationships of direct correlation between the agent and the original can have all sorts of forms; for our purpose the attention will be directed upon the relation within the bounds of which a model is in use. A typical example of such type is the creation or the adaptation of the original according to the model by the agent, see under No (3), e. g. the creation of a document according to a prepared template, or conversion of a bibliographic record into some required format. - Source: Internet
• One of the most general classification criteria in this facet is the viewpoint of time. Conforming to whether certain changes of the original in the course of time are modelled or not, the differentiation is made between static and dynamic models. Static models focus upon reflecting relatively stable structures; an example is the model of bibliographic reference according to the ISO 690 standard or the model of arranging data in the MARC21 format. Dynamic models register processes (an example is the model of business processes represented by way of a flowchart or statechart diagram), but also rules and methods, such as RDA cataloguing rules or methods of bibliometric analysis. - Source: Internet
• The result of this phase is a concrete model, typically created by capturing the semantics of the model expressed in some language on a material carrier. The choice is open; the materialization of a conceptual model can be achieved both by an analogue carrier and a digital one (such as paper, microfilm, flash disk)10. In addition to communication in time a concrete model enables direct handling, such as experimenting with the model or its physical organization by location. - Source: Internet
• This paper describes a methodology that proposes a simulation space conceptual modeling language, and explains an extension to KAMA-C4ISRMOS to develop high level design by using the conceptual models. The extension includes establishment of high level design by transformation of 7 types of mission space and 5 types of simulation space conceptual model diagrams to 8 different UML design diagrams. A case study is conducted to evaluate the extended methodology on a synthetic environment system that includes virtual forces, semi-automated forces, and full mission simulators with command and control systems. Mission space and simulation space conceptual model, and high level design diagrams are developed for this system, and results are discussed. - Source: Internet
• Fig. 4 shows that the models created in the first phase fall into Popper´s world 2, whereas the models created in the following two phases pertain to Popper´s world 3. The materialized model created in phase 2.2, naturally, already contains some elements of the physical world 1. - Source: Internet
• ISO/TR 9007:1987. Information processing systems – Concepts and terminology for the conceptual schema and the information base. 1st ed. Geneva: International Organization for Standardization, 1987-07-01. 120 p. - Source: Internet
• Conceptual data models demonstrate both as-is and to-be states, meaning they are inclusive of changes to the business that are in the works or highly likely. This way, organizations can future-proof the model to a degree, and account for any flexibility that might need to be built into the solution. It’s considered a best practice to distinguish between the as-is and to-be states via color scheme. - Source: Internet
• By the way, can a concept model be used to create a data model (to engineer a database)? Absolutely. In fact, I think you should use one. Literally, how could you keep data about something you can’t talk about precisely?! That’s a highway to nonsense! - Source: Internet
• Pictorial conceptual models Pictorial conceptual models—also known as conceptual diagrams or models—use drawings and diagrams to explain how a wetland works. The models are powerful tools as they offer a way of visualising complex environmental processes. They can easily be used by a variety of audiences with varying levels of knowledge. Pictures worth a thousand words: A guide to pictorial conceptual modelling provides natural resource managers with a step-by-step approach to developing and applying pictorial conceptual models for better management outcomes. Quick facts Good pictorial conceptual models: have a clear purpose - Source: Internet
• Researchers build study frameworks, whether theoretical or conceptual, to help structure and guide their investigations and explain results. From theories or concepts, the researcher builds a case for examining the topic using the most relevant explanatory or interpretive perspective. So, a framework acts as a guiding and interpretive lens that contains both the variables or concepts under study and the interpretive capacity to explain results. Practically speaking, theoretical frameworks are typically associated with quantitative studies and conceptual frameworks are typically associated with qualitative studies. Let’s look at each type of framework individually. - Source: Internet
• Suppose you wanted to engineer a database. Yes, you could start with a conceptual model to portray the essential things you ultimately want to keep data about. And yes, you could call it a conceptual data model.[6] - Source: Internet
• The diagram in Fig. 1 shows three key entities of model creation – model, original and agent – and their relations. The latter are of two types: relation of direct (concrete) influence and relation of (abstract) correspondence. - Source: Internet
• The attribution “reference“ is used for models on the highest level of abstraction that focus upon explicit depicting of the semantics of the respective domain. It can be stated that the models of this type fall into the category of domain ontologies, or there create a special group thereof. Without being intended for direct implementation in the information systems, they represent a conceptual foundation for all further specific models and normative documents within their domains. This feature gets them close also to the category of foundational ontologies. A typical example of a reference model is the model of the open archival information system, as available in the Czech translation of 2014 (ČSN ISO 14721, 2014). - Source: Internet
• Conceptual models comprise entities that represent components of a service but that contain no detailed application-specific information. The information that you define for conceptual model entities determines how service capabilities can be commercialized. For example, the conceptual model defines your products and services and the actions that must be performed in a run-time environment to provision a service order request. - Source: Internet
• [6] Personally, I wouldn’t use that term because ‘conceptual data’ is just too confusing. It’s an oxymoron. So, if you want to use the term, at least hyphenate it properly — conceptual data-model — as I do in the paragraphs that follow. - Source: Internet
• As to computer science, the mental models study in particular the user on the one hand and the information system or application on the other hand, and namely in the context of their interactions. The most frequented object of interest is the mental model of functioning of the system that is created by its end user. The usual hypothesis reads that as long as the information system corresponds with the mental model of the user, it will be readily accepted and the interaction user – information system will be successful. - Source: Internet
• ISO 24156-1:2014. Graphic notations for concept modelling in terminology work and its relationship with UML – Part 1: Guidelines for using UML notation in terminology work. 1st ed. Geneva: International Organization for Standardization, 2014. 24 p. - Source: Internet
• Conceptual Modeling is not really a new idea. One of the most popular examples is the Entity Relationship Model, which has been mentioned by Peter Pin Shan Chen in the 1970ies. And from there on it has continuously evolved and has become a modeling paradigm, which has been broadly adopted by many companies. - Source: Internet
• The ubiquity of the models is the cause of the circumstance that the scope of this facet is practically unlimited. The object that is being modelled can be anything, any object of interest of the agent, or even the agent as such or another model (even a model can be subject to modelling – in such case we usually refer to meta-model). “Being original“, accordingly, is not a permanent property of the object, but a role related to a concrete model (in analogy this is valid also for the model). - Source: Internet
• Moving on to a different example, let’s think about how an order management system might work. This could be used for a retail or wholesale store. The important thing is that it models the data objects that would need to be tracked and the possible relationships between them. - Source: Internet
• The name suggests that these types of conceptual models consist of arranged word lists, most often terms, designating concepts in the given field of interest. Registers or lists of terms and vocabulary encoding schemes under the RDA rules can serve as example, such as a list of values for the field type of contents15, whose present form contains 23 names of possible values of field 336 in MARC21 format (e.g. cartographic image, computer program etc.). - Source: Internet
• A concept model is a foundation for clearly expressing knowledge.[11] And if you can express knowledge clearly, then you can capture and disambiguate it. That’s something new — it’s not something that’s ever been done before in an engineered fashion. - Source: Internet
• The aim of a conceptual data model is to provide a data-centric perspective of the organization by documenting how different business entities relate to one another. This is often achieved via entity relationship diagrams (ERD) and/or object-role models (ORM). Unlike logical and physical data models, conceptual data models are technology- and application-independent. This means they are untethered from the reality and context of systems and processes currently in place. - Source: Internet
• The borders between the model types are often very blurry, which means there are no strict and absolute rules. In reality, the level of details and specification of each model type vary from company to company and from use case to use case. In extreme case, the model definition might even overlap each other. - Source: Internet
• A graphical conceptual framework is a visual model that assists readers by showing how concepts, constructs, themes, or processes work. It’s designed to help the viewer understand how various factors interrelate and affect outcomes. They’re commonly used in research to show outcomes but also to create, develop, test, support and criticise various ideas and models. - Source: Internet
• We understand a knowledge organization system as a device functioning for the support of the processes of organizing knowledge and access to the same. It consists of a conceptual model of metadata structure (i.e. elements and their interrelations) that are used for the description of organized resources and for their retrieval. - Source: Internet
• Conceptual modeling is a critical phase in simulation development. A diagrammatic conceptual modeling language to represent mission space is developed within METU Modeling and Simulation Center in Turkey. This framework, named as KAMA- C4ISRMOS, is specifically targeted for simulations of C4ISR systems, and explained in a recent paper (07S-SIW-056). Focusing on development of mission space conceptual models, there are no well founded methodologies to develop simulation space conceptual models in current studies. Additionally, although most approaches emphasize the importance of conceptual models to be used in design activities, there are no explanations on how simulation design can be developed by using conceptual models. - Source: Internet
• The target of a concept model, in contrast, is always what’s in the mind, not directly about things in the real world. It’s about how you understand things — that is, how you define your concepts. It is engineered based on the words needed to express those concepts. Its purpose is to help you communicate complex knowledge — in sentences. - Source: Internet
• Thereby, the conceptual model contains only the definition and semantic, that are agreed and aligned across all applications. This approach results into a so called common model (non-canonical model).That implies, that each application might have its own additional specifications and attributes, which are specific to the purpose and which is not aligned among other applications. - Source: Internet
• A concept model, in contrast, is an aid in achieving precision in continuing discourse about some subject matter. It enables clear communication by allowing you to express statements (sentences) that can be readily understood and disambiguated (perhaps automatically). A concept model becomes ever more important the deeper you dig into the subject matter. It’s not something you should ever ‘file away’. - Source: Internet
• Suppose the year is 1956. We decide we want to create a fast, multi-lane, non-stop highway between the cities of Los Angeles, CA and Jacksonville, FL. In other words, we want to create Interstate Highway 10 (‘I-10’). A good place to start is to create a conceptual model. - Source: Internet
• In 1956 no repository is available other than file cabinets (which is probably where the sketch ends up). But let’s suppose an automated platform were available to record the ‘facts’ represented in the conceptual model (not just the visualization itself). Those facts would be the start of a Business Knowledge-Base.[2] Here are the facts so far.[3] - Source: Internet
• The conceptual data model gives the designer the chance to gain an overview of the system to be designed without being concerned with the details of how it will be implemented. This is the time to ask questions, consult with stakeholders, consider the business requirements that the database will solve, and the business processes it has to support. Conceptual data models can be very quick to create, but they can also rapidly highlight faulty assumptions and potential problems. The conceptual model is a simplified diagram of the final database, with the details deliberately ignored so that the big picture can be understood. - Source: Internet
• Guide to pictorial conceptual modelling The Guide to pictorial conceptual modelling was developed to support wetland ecosystem science and management in Queensland. The guide draws on the experience developed through the Program on how to synthesise and communicate complex scientific ideas to diverse and often non-scientific audiences. The guide explores the use of pictorial conceptual modelling to inform wetland management and engage the broader wetland community, and provides a step-by-step process for developing these types of models. - Source: Internet
• The final result should be a clear graphical presentation that will help the reader understand what the research is about as well as where it is heading in your report. It doesn’t need to be complex – a simple diagram or table can clarify the nature of a process and help in its analysis. A picture is worth a thousand words, as the saying goes. And the same goes for a good conceptual framework when it clearly explains research process or findings to your audience. - Source: Internet
• This article is the fruit of our effort to provide a partial contribution to the forming of the theory of conceptual models in the information science. A facet structure of model that is applicable also for the description of conceptual models has been proposed. The application of the perspective of semiotic triangle has served to specify certain selected functions of conceptual models relevant for the information science: creation a model of reality, creation a model of sign, creation of an artefact according to a model, formalization of a conceptual model, creation of a new model with the utilisation of an existing one. A framework typology draft has been developed for the contents and the form of conceptual models in the information science, embedded in the context of conceptual models and modelling languages in computer science. - Source: Internet
• The unambiguous determination of concept as the basic structural unit of a conceptual model, however, immediately opens up problems related to its defining, as signalled by another setting of a question mark in the title of this section. The absence of a generally accepted definition of concept has philosophical foundations due to the existence of diversified theories of cognition, not rarely contradicting one another. Accordingly, let us mention right in the introduction that we certainly do not aspire to proposing a clear definition of concept in the present article; on the contrary we try to reflect the complexity of the problems and to characterize the most outstanding perspectives of investigating the concept as relevant from the viewpoint of conceptual modelling in the information science. We will restrict ourselves to a recap of the basic principles and to references covering some selected important sources dealing with the analysis of concept from a perspective applicable in the information science. Contact points shared by most cognition theories can be summarized in the following general statements: - Source: Internet
• When designing conceptual models, you define the associations among the conceptual model entities. You also define the patterns that are used to fulfill service orders and technical orders. These patterns define how requests to design reusable service components are fulfilled and how delivery systems activate and manage the work to be performed on resources in the network. - Source: Internet
• Result (output) of the process: descriptive conceptual model as the result of the analysis of content of the designation (text, document, information source), generally known as aboutness (Kučerová, 2014). Examples: metadata, search pattern of the document, reduced text (e.g. abstract). - Source: Internet
• Considerations The conceptual models seed concrete models protocols includes brainstorming at the beginning of the development process when senior management and developers can view the problem in different ways. However, the models have temporary value and are discarded after the initial process. This approach has more initial costs than the agile approach in which concrete models drive development because it requires the knowledge and use of a conceptual modeling language and also the ability to accommodate and manage change in the conceptual modeling artifacts that occur during the early phases of development. Governance is high in the initial state, but becomes very low as the developers continue the coding and are given creative freedom. - Source: Internet
• Actions, which describe how conceptual model entities change, cause change, or retrieve information. Actions are associated with customer facing services, resource facing services, and resources. See “About Actions” for more information. - Source: Internet
• The above option to view metadata as a model reminds us of the fact that metadata can be related with the already noted problem of differentiating between the original and the model. Again the question arises whether (or rather when) metadata are model or original, and again it will be confirmed that a multi-criterial facet analysis will be indispensable for answering the same. Fig. 5 shows both possible variants by way of poly-hierarchic relations in the UML diagram: metadata as a conceptual model of the information resource, on the one hand, and metadata as an original whose structure is modelled by the conceptual model of metadata, on the other hand. - Source: Internet
• The most important types of models that are relevant for the information science, and at the same time the most complex ones, are doubtlessly the conceptual models. The first difficulty is encountered with their name already, admitting double interpretation and inspiring the question whether a conceptual model is a model of concepts or a model consisting of concepts8. Available literature focusing upon the theory of conceptual models is seen to confirm the second variant. Generic differences of conceptual models distinguishing them from other types of models create the contents of facet WHAT WITH is being modelled – the tool for modelling is a concept, whereas the contents of the WHAT (is modelled) facet is not being restricted by anything. Thus a conceptual model can be easily defined as a model created from concepts. - Source: Internet
• To minimize the risks, the designer will usually start off by data modeling. The data model created will provide a blueprint for the finished database, ensure consistency, and make sure that no elements have been forgotten. The models also make it easy to consult with all stakeholders and get feedback on what problems the database should solve. - Source: Internet
• Characteristics of the process: interpretation of the meaning of the designation as a specific case of conceptualisation. The foundation of conceptualisation in this case is the content analysis of the information sources. Its specificity resides in that no analysis of the thing is carried out, but the meaning of the given text/sign gets interpreted. Texts of the information science utilize a special term for this process, and namely indexing; standard ISO 5963 defines indexing as “the act of describing or identifying a document in terms of its subject content“ (ČSN ISO 5963, 1995, p. 5). - Source: Internet
• Let’s sketch out the data objects and relationships needed to model a library database. The library can have zero or many books, while each physical book can be associated with one and only library. The same goes for the relationship between the library and its members, so we can use the same Crow’s Foot notation between them. - Source: Internet
• It can start with pen and paper, but after your review you should reflect to consider if the proposed framework takes into account the main concepts and issues, and the potential relationships that have been presented on topic in previous works. Itmay take a few versions before you are happy with the final framework. Reflect on the model and review its worth byreassessing it to determine if the model is consistent with the literature and theories. Discuss the idea with others,such as colleagues or presenting preliminary ideas at a conference or workshop and be open to changes. - Source: Internet
• Outline your topic. Conduct a literature review. Isolate key conceptual variables. Generate the framework. - Source: Internet
• As the name suggests, conceptual data modeling is most relevant at the conceptual stage, when an organization drafts a rough plan with the intention to work out the finer details later. Usually created by data architects and business stakeholders, conceptual data models give stakeholders an easily digestible snapshot of the relevant concepts or entities and the relationships between them. By communicating the model in a way that is relevant to stakeholders who aren’t necessarily tech- and/or detail-oriented, modelers are more likely to get support for their projects. The erwin platform was built with fostering this sort of collaboration in mind. - Source: Internet
• The framework of this model comprises 11 entities connected by way of hierarchical and associative relations. The entity res (from Latin thing), integrating all entities of the bibliographic universe, is located on the highest level of the hierarchy. The subclasses of the entity res are work, expression, manifestation, item, agent with its subclasses person and collective agent, nomen (from the Latin name), place and time-span. - Source: Internet
• A conceptual model is often inherently graphical. A concept model, in contrast, is always semantic. You can certainly create a graphical guide to a concept model, but doing so is always a matter of convenience, not of necessity. - Source: Internet
• The texts of standards and rules represent procedural metadata models regulating the working processes of their creation and administration. As concerns the creation of descriptive metadata, the governing role is played by the International cataloguing principles, ICP (IFLA, 2016). The general cataloguing principles serve as foundation for the rules; the most amply used cataloguing rules for describing and ensuring access to sources in the memory institutions at the present day are seen to be RDA (Resource description and access). As concerns the methodology of the indexing process, the first international standard was adopted in 1985, ISO 5963 Methods for examining documents, determining their subjects, and selecting indexing terms (ČSN ISO 5963, 1995). - Source: Internet
• In qualitative research, the conceptual framework is developed at the end of the study to illustrate the factors or issues presented in the qualitative data. It is designed to assist in theory building and the visual understanding of the exploratory findings. It can also be used to develop a framework in preparation for testing the proposition using quantitative research. - Source: Internet
• Metadata element sets and metadata schemes represent conceptual models of metadata attributes, including possible depicting of their relations. An important repository for metadata element sets in the format of linked open data is the Open metadata registry that is operated by a non-profit society Metadata Management Associates.14 Among others it contains a list of data elements of Dublin Core, ISBD, MARC21, RDA and UNIMARC. - Source: Internet
• Generally, theoretical frameworks are associated with quantitative studies and conceptual frameworks are associated with qualitative studies. Yet, this is not a hard and fast rule. Some studies, such as mixed methods studies, may require both. In cases in which you’re unsure how to proceed with the framework, it’s always best to work with your dissertation chair or mentor, if applicable, or dig deeper into the differences between the two frameworks to better understand them and their purposes. - Source: Internet
• SKOS (Simple knowledge organization system) has been defined by its authors as a data vocabulary for a description of knowledge organization systems allowing their sharing and interconnecting on the web (Miles and Bechhofer, 2009). Its ambition resides in defining the minimum set of characteristics that is shared by all types of knowledge organization systems within the whole span of their scope. In 2009 SKOS was adopted as standard by the W3C consortium and it represents the most important and the most widely used general meta-model of the knowledge organization system in the practice of the present day. - Source: Internet
• While undertaking a study, researchers can uncover insights, connections, and findings that are valuable to anyone likely to read their eventual paper. Thus, it is important for the researcher to clearly present and explain the ideas and potential relationships. One important way presenting findings and relationships is by developing a graphical conceptual framework. - Source: Internet
• Pictures worth a thousand words: A guide to pictorial conceptual modelling. The guide explores the use of pictorial conceptual modelling to inform wetland management and engage the broader wetland community. A step-by-step process for developing pictorial conceptual models is presented, along with flow charts and checklists for managing each step. - Source: Internet
• Table 1 shows examples of models from the librarian practice, describing them with the help of the suggested facet structure. The models are divided in three numbered groups: group 1 are static models of objects and structures, group 2 are dynamic models of events and processes, and group 3 contains two examples of abstract models of concepts. For being more illustrative, the facets WHAT, WHO and WHAT WITH indicate (in italics) also concrete examples of instances. - Source: Internet
• With that I hope I could give you a rough idea on conceptual modeling and its benefits. Especially in the heterogenous cloud landscape, we need an approach which is adoptable in order to build integrated applications at scale. Looking forward to seeing this modeling paradigm applied in more SAP applications. - Source: Internet
• Whereas a problem arises in the case of metadata, namely whether they should be understood as model or as original, there is an ambiguity in the case of the knowledge organization systems in the sense whether they should be understood as a metadata scheme or as a value vocabulary. A separate study has been devoted to this intriguing problem (Bratková and Kučerová, 2014) that was directed upon defining the knowledge organization systems and their typology. Let us introduce at least a brief recap of their conclusions in this place. - Source: Internet
• You use the design contract management protocol named conceptual models seed concrete models early in the process of creating an application. The models are used to create code. After you create code, you do not maintain conceptual models and can discard them. You can then transition to 3GL visual editing for the remainder of the development cycle. - Source: Internet
• The MDA – Model driven architecture (OMG, 2014) specification has been the current implementation of the conceptual modelling principle since 2001. Its aim consists in standardising model types that are common for most systems and the automatized transformation of various levels of models in both senses (i.e. both forward and reverse engineering). The concept of architecture of the information systems and software applications according to MDA covers three types of gradually concretized models representing the levels of their description. - Source: Internet
• The first step in creating your conceptual framework is to clearly outline your topic of research. In this step, you must decide on your topic of research. It is important to select a topic that relates to your field of specialization so that you will be familiar with the different aspects of your study. - Source: Internet
• The present day stage of development of information technologies has enriched the problems of conceptual modelling by the topics of ontologies that are seen to quickly penetrate from the original application field in the systems of artificial intelligence into all sorts of domains, including librarianship and information science. Ontologies represent a highly actual and important topics whose detailed analysis, however, would require a separate study. We will restrict ourselves in the present text to briefly characterising ontology as a specific type of conceptual model aiming at communication, repeated usage and organization of knowledge, description of reality for computer processing and automatic deriving of knowledge. Its contents are classes whose meaning is defined by axioms. The choice of classes, their features and the way of structuring the ontology is based upon implicitly or explicitly determined ontological commitments. - Source: Internet
• Another general criterion for sorting the models within the facet WITH WHAT is the degree of standardization and formalization of the applied modelling means. The advantage of standardized tools consists in facilitating communication as well as in sharing the models that have been created. On the other hand, individually developed models enable a higher degree of creativity and often also better precision in capturing the features of the original, though usually for the price of impaired communication.5 - Source: Internet
• Assuming the viewpoint of granularity, let us mention at least the classification of languages in groups intended for modelling the contents on the level of the whole document, or even on the level of a collection of documents, called macro-indexing (e.g. Universal Decimal Classification), and languages enabling the so-called micro-indexing on the level of units of contents, based for instance upon the creation of statements creating the contents of knowledge bases, or even single items of subject indices of books. - Source: Internet
• Imenda, S. (2014). Is there a conceptual difference between theoretical and conceptual frameworks? Journal of social sciences, 38(2), 185-195. - Source: Internet

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