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Unified querying of ontology languages with the SIRUP ontology query API

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dc.contributor.authorZiegler, Patrick
dc.contributor.authorSturm, Christoph
dc.contributor.authorDittrich, Klaus R.
dc.contributor.editorVossen, Gottfried
dc.contributor.editorLeymann, Frank
dc.contributor.editorLockemann, Peter
dc.contributor.editorStucky, Wolffried
dc.date.accessioned2019-10-11T08:35:13Z
dc.date.available2019-10-11T08:35:13Z
dc.date.issued2005
dc.description.abstractOntology languages to represent ontologies exist in large numbers, and users who want to access or reuse ontologies can often be confronted with a language they do not know. Therefore, due to their great number, ontology languages are nowadays themselves a source of heterogeneity. In this paper, we present the SIRUP Ontology Query API (SOQA) that was developed for the SIRUP approach to semantic data integration [ZD04b]. SOQA is an ontology languageand platform-independent API for query access to ontological metadata and data that can be represented in a variety of ontology languages. Based on SOQA, we provide SOQA-QL, an SQL-like query language that supports declarative queries against ontological metadata and data, and the SOQA Browser, a tool to graphically inspect all ontology information that can be accessed through SOQA.en
dc.identifier.isbn3-88579-394-6
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/28274
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofDatenbanksysteme in Business, Technologie und Web, 11. Fachtagung des GIFachbereichs “Datenbanken und Informationssysteme” (DBIS)
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-65
dc.titleUnified querying of ontology languages with the SIRUP ontology query APIen
dc.typeText/Conference Paper
gi.citation.endPage344
gi.citation.publisherPlaceBonn
gi.citation.startPage325
gi.conference.date2.-4. März 2005
gi.conference.locationKarlsruhe
gi.conference.sessiontitleRegular Research Papers

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P065 - BTW2005 - Datenbanksysteme in Business, Technologie und Web