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Mapping ontology

The third EKB software architecture variant (SWA-C) relies on graph databases. The authors of (Mordinyi et al. 2015) provide details of how to represent complex models with the database concept as well as how to map ontology concepts on graph database schema for efficient execution of operations. [Pg.200]

Mapping ontology—used to represent declaratively the mappings (correspondences) between the local ontologies,... [Pg.318]

Convert the mapping ontology and its instantiation (containing the actual mappings between two design models) into a Frame-logic representation, and,... [Pg.322]

Introduction of XML formats was a very important step toward better intercomputer communication, but it is not a miraculous solution to all problems. Not every possible relation is easily expressed in XML (Wang et al. 2005), so specifications usually contain many implicit assumptions that are not properly formalized. The Resource Description Framework (RDF) provides a very powerful yet simple model for this formalization (Manola and Miller 2004). In this framework, any information is transformed to basic units called triplets that are combined to map the available information. This unifying mechanism can be used to express hierarchical vocabularies for domain knowledge description, as in RDF Schema (Brickley and Guha 2004) or its extension, Web Ontology Language (OWL) (Smith et al. 2004), both standardized by the W3C. [Pg.116]

Thus, a system for the recognition of medical entities in text has to offer functionalities beyond simple string matching—namely, context-dependent disambiguation—to support the mapping of entities in text to concepts in medical ontologies. [Pg.128]

Mapping of terms to ontology concepts (adding information about the hierarchical position of a concept to the matching term in text)... [Pg.137]

Chemistry is some way behind the biomedical sciences in standardization of research protocols. The MIBBI (Minimum Information for Biological and Biomedical Investigations) Project (MIBBI Consortium 2008) aims to bring the various Minimum Information protocols for different sorts of biomedical experiments into line with one another and oversees over a dozen protocols. The mapping of the protocols themselves to stable Semantic Web identifiers is achieved through an ontology. [Pg.163]

In the decentralized approach, each information source is described by its own local ontology. Mappings are defined between the local ontologies to identify semantically corresponding terms. [Pg.653]

The conceptualization of this work process ontology is fully consistent with the one underljdng C3. In particular, the elements and connectors of C3 map to classes and relations in the Process Ontology. This conceptual integration of both formalisms allows a seamless transition from a semi-formal to a formal representation. While the former is ideally suited to empirically elucidate an actual work process, the latter targets a tool-based interpretation and processing. [Pg.747]

Falconer SM, Noy NF (2011) Interactive techniques to support ontology mapping. In Bellahsene Z, Bonifati A, Rahm E (eds) Schema matching and mapping. Data-Centric Systems and Applications Series. Springer, Heidelberg... [Pg.26]


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