Towards an Ontology based integrated Framework for Semantic Web
作者： Nora Y. Ibrahim , Hany M. Harb , Sahar A. Mokhtar
DOI:
关键词: Semantic Web 、 Computer science 、 XML 、 IDEF5 、 Semantic integration 、 Ontology components 、 Open Biomedical Ontologies 、 Ontology 、 Upper ontology 、 Conceptualization 、 Suggested Upper Merged Ontology 、 Ontology-based data integration 、 Ontology Inference Layer 、 Ontology (information science) 、 Knowledge representation and reasoning 、 Information retrieval 、 OWL-S 、 Web Ontology Language 、 Process ontology 、 Ontology language 、 Interoperability 、 Ontology alignment 、 Ontology merging
摘要: This Ontologies are widely used as a means for solving the information heterogeneity problems on web because of their capability to provide explicit meaning information. They become an efficient tool knowledge representation in structured manner. There is always more than one ontology same domain. Furthermore, there no standard method building ontologies, and many tools using different languages. Because these reasons, interoperability between ontologies very low. Current mostly use functions build, edit inference ontology. Methods merging heterogeneous domain not included most tools. paper presents methodology single global from eXtensible Markup Language (XML) data sources capture maintain all which XML can contain
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