The semantic modeling languages of the W3C, RDFS, and OWL are built entirely in RDF, and they can be federated just like any other RDF data. An example of an advanced use case would be business users depicting semantic models for business data points present on reports, relating them to business data glossary entries, with IT staff depicting semantic models of the physical data sources used to generate the data points on the same reports as a method to satisfy regulatory reporting requirements that mandate identification of data sources and their business meaning (e.g., pillars two and three of Solvency II). Semantic models of data sources represent the implicit meaning of the data by specifying the concepts and the relationships within the data. Analysis requires behavior models leading businesses to the business goals. Even without direct support of object-oriented features in ASMs, the resulting ASM model of the dynamic semantics is particularly concise, readable and understandable. The interoperability issue emerges in this evolvement process, which brings about relevant modeling approaches reviewed in Section 3. The model is represented in RDF. In the case of RDFS-Plus, we were interested in a subset of the language that has considerable utility for, A Semantic-Rich Approach to IoT Using the Generalized World Entities Paradigm, Fabrizio Amarilli, ... Gian Piero Zarri, in, Semantic Processing: Statistical Approaches, International Encyclopedia of the Social & Behavioral Sciences, A survey of feature modeling methods: Historical evolution and new development, Robotics and Computer-Integrated Manufacturing. Yet, only few studies have tackled the issue of reviewing the state of the art research. At its most basic, semantic modeling is used to depict the relationships that exist among specific values of data, such as the example below that models the same topic as the data modeling diagram above, but now focused on the values of the data and the relationship they have. A discussion of the bottlenecks and future research directions is carried out in Section 5 based on the literature reviewed. Such models are the key ingredients to automatically publish the data into knowledge graphs. Import operations use the same semantics as defined by the knowledge model so that the actual database … The remainder of this paper is organized as follows: Section 2 gives a brief presentation of UML, ontologies, their similarities, and their underlying assumptions. Semantic memory refers to a portion of long-term memory that processes ideas and concepts that are not drawn from personal experience. A conceptual modeling approach was introduced by  [19] to facilitate and shorten the development process of Virtual Reality applications. Due to the centralized means by which semantic knowledge graphs manage the terminology for the concepts represented in their data models, “in the data model you can have dependencies, relationships, etc.,” Lamba commented. ScienceDirect ® is a registered trademark of Elsevier B.V. ScienceDirect ® is a registered trademark of Elsevier B.V. URL: https://www.sciencedirect.com/science/article/pii/B9780128002056000044, URL: https://www.sciencedirect.com/science/article/pii/S0065245814000047, URL: https://www.sciencedirect.com/science/article/pii/B9780444502285500138, URL: https://www.sciencedirect.com/science/article/pii/B9780123859655100159, URL: https://www.sciencedirect.com/science/article/pii/B9780123859655100044, URL: https://www.sciencedirect.com/science/article/pii/B9780128097649000056, URL: https://www.sciencedirect.com/science/article/pii/B0080430767015473, URL: https://www.sciencedirect.com/science/article/pii/S0736584519300857, URL: https://www.sciencedirect.com/science/article/pii/S1574013719300231, URL: https://www.sciencedirect.com/science/article/pii/S1574013715300289, Towards a New Formal SDL Semantics based on Abstract State Machines, Semantic Web for the Working Ontologist (Second Edition), , we introduced a subset of OWL that we called RDFS-Plus. An SDM specification describes a database in terms of the kinds of entities that exist in the application environment, the … James V. Luisi, in Pragmatic Enterprise Architecture, 2014. They focused more on the applications of features in modeling geometry and product lifecycles. They propose an ontology-based querying of sensor data in a federated sensor network, making use of the SSN ontology integrated with domain-specific ontologies for effectively modeling (semantically annotating) the underlying heterogeneous sensor data sources. As data expressed in RDF, semantic models are housed in the RDF store, along with all other data. Especially, the tremendous advancement in Internet of Things (IoT), big data, new manufacturing paradigms and methodologies poses higher requirements for feature interoperability and information consistency. Network model of such domain-oriented language learning identification number ( EIN ) as issued for a long time, paper... 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