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. A framework[1] recently developed for understanding and classifying ontology applications provides opportunities to review the state of the art, and to provide guidelines for application developers from different communities. The framework identifies four main categories of ontology applications: neutral authoring, ontology as specification, comm...
Contexts in source publication
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... The PhysSys [5] application ontology (illustrated in Figure 1) was constructed to assist engineers in modelling, simulating and designing components for Engineering Applications. definitions organised into a library. ...
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... within PhysSys library (see Figure 1) plays the role of an ontology representation language, where it is used to author application ontologies. Application ontologies (for example PhysSys) play the role of ontology, where information is used to specify terms and definitions for engineering applications. ...
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... can be used in Ontolingua, to restrict possible interpretations and to reduce ambiguity in interpretation of the meanings of definitions. 3 engineering ontologies (bottom 3 in Figure 1) formalise conceptual viewpoints on physical systems, which are linked via projections into PhySys. These are specialisations of the top 3 ontologies in Figure 1. ...
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... engineering ontologies (bottom 3 in Figure 1) formalise conceptual viewpoints on physical systems, which are linked via projections into PhySys. These are specialisations of the top 3 ontologies in Figure 1. ...
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... examples to those we describe in Table 4 are: a digital library card catalogue [19], and the FindUR system [20]. Figure 10 illustrates the (KA) 2 ontology, [21] which was authored for the scientific knowledge acquisition (KA) community, and describes a virtual organisation consisting of researchers, universities, projects, and publications. The Intelligent Brokering Service on the WWW (IBROW3) project [22] has developed a broker (illustrated in Figure 11) for configuration and execution of knowledge systems for customer requests. ...
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... 10 illustrates the (KA) 2 ontology, [21] which was authored for the scientific knowledge acquisition (KA) community, and describes a virtual organisation consisting of researchers, universities, projects, and publications. The Intelligent Brokering Service on the WWW (IBROW3) project [22] has developed a broker (illustrated in Figure 11) for configuration and execution of knowledge systems for customer requests. The knowledge systems are configured from reusable problem solving methods 7 (PSMs) that reside in digital libraries on the Internet. ...
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... in the Domain Ontology (Figure 11) plays the role of ontology, where it specifies the definitions for the KB in a specific domain. ...
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... is a knowledge representation language that allows ontologies to be designed and used directly on the WWW. Role of the information: Information in the 'Base Ontology' (see Figure 13) plays the role of an ontology representation language, and is used during development time to author the 'Extensions'. These 'Extensions' play the role of ontology, where the information specifies terms and definitions for the information on the WWW pages. ...
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... Figure 13 illustrates that an OA creates a base ontology as an SGML 10 page and any number of extensions to the pages, which are instantiated by the DA. The DA annotates 11 the WWW pages with SHOE tags. ...
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... Figure 14 illustrates the KWs entering data resources through the lexical interface, which uses a 'Lexical Conceptual Graph' (LCG) to encode them, and SENSUS to validate the semantics of words entered by the KW. The LCGs are classified according to a subsumption relationship and entered into a database. ...
Citations
... There are a number of applications designed to search information stored in one or several repositories, this could be an intranet or WWW. In [27] three different scenarios for searching are defined: ...
... Using this method could lead to a confusing and not clearly structured ontology. [27] There are different implementations of using individual (local) ontologies for each information resource or for each set of information resources. SHOE [ref], which is a solution for adding semantics into HTML-files on the WWW or an intranet, uses a base ontology for creating the so called extension ontologies for each information resource. ...
... SHOE [ref], which is a solution for adding semantics into HTML-files on the WWW or an intranet, uses a base ontology for creating the so called extension ontologies for each information resource. [27] KRAFT uses mapping between a set of shared ontologies and the resource's local ontology. The mapping is done manual by the ontology author and therefore should be very accurate. ...
In Abwesenheit des "Semantic Web" sucht man nach alternativen Lösungen, um lokale semantische Netze zu erstellen. Peer-to-Peer-Netzwerke können verwendet werden, um auf ontologie-strukturierten Repositorien Suchabfragen durchführen zu können. Es kann behauptet werden, dass Peer-to-Peer-Netze schneller performant und effektiv werden können, als das allumfassende "Semantic Web" entstehen kann. Sichere Nutznießer von solchen semantisch angereicherten Peer-to-Peer-Netzen wären Universitäten, die sich durch Austausch der Lerninhalten gegenseitig bereichern würden.
