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Acquiring OWL ontologies from XML documents

Published: 26 June 2011 Publication History

Abstract

Converting non-Semantic Web encoded information to ontology-based languages such as the Web Ontology Lan-guage (OWL) is an important knowledge acquisition chal-lenge. In many domains, a large amount of information is represented in eXtensible Markup Language (XML), which has driven the development of general-purpose tools for converting XML to OWL. These tools suffer from a variety of shortcomings, however, including a requirement for multi-stage mapping processes and limited mapping tech-niques. A general shortcoming is that the mapping methods are not OWL-centric and thus limit the complexity of the generated OWL ontologies. To address these shortcomings, we developed an OWL-based language that can transform XML documents to arbitrary OWL ontologies. The lan-guage is based on the Manchester OWL Syntax and ex-tends it with XPath queries to support references to XML documents. Our language provides a compact, user-friendly approach for converting XML to OWL.

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    cover image ACM Conferences
    K-CAP '11: Proceedings of the sixth international conference on Knowledge capture
    June 2011
    212 pages
    ISBN:9781450303965
    DOI:10.1145/1999676
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 26 June 2011

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    Author Tags

    1. Manchester OWL syntax
    2. OWL
    3. XML
    4. XPath
    5. knowledge acquisition

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    K-CAP '2011
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    K-CAP '2011: Knowledge Capture Conference
    June 26 - 29, 2011
    Alberta, Banff, Canada

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    • (2020)RDF 1.1: Knowledge Representation and Data Integration Language for the WebSymmetry10.3390/sym1201008412:1(84)Online publication date: 2-Jan-2020
    • (2020)XMLSchema2ShExSemantic Web10.3233/SW-18032911:2(235-253)Online publication date: 1-Jan-2020
    • (2020)Enriching standards-based digital thread by fusing as-designed and as-inspected data using knowledge graphsAdvanced Engineering Informatics10.1016/j.aei.2020.10110246(101102)Online publication date: Oct-2020
    • (2019)Transforming XML schemas into OWL ontologies using formal concept analysisSoftware and Systems Modeling (SoSyM)10.1007/s10270-017-0651-418:3(2093-2110)Online publication date: 1-Jun-2019
    • (2019)S-RDF: A New RDF Serialization Format for Better Storage Without Losing Human ReadabilityOn the Move to Meaningful Internet Systems: OTM 2019 Conferences10.1007/978-3-030-33246-4_16(246-264)Online publication date: 11-Oct-2019
    • (2019)Towards Ontology Engineering Based on Transformation of Conceptual Models and Spreadsheet Data: A Case StudyIntelligent Systems Applications in Software Engineering10.1007/978-3-030-30329-7_22(233-247)Online publication date: 20-Sep-2019
    • (2017)A Distant Learning Approach for Extracting Hypernym Relations from Wikipedia Disambiguation PagesProcedia Computer Science10.1016/j.procs.2017.08.208112:C(1764-1773)Online publication date: 1-Sep-2017
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    • (2015)Transforming XML documents to OWL ontologies: A surveyJournal of Information Science10.1177/016555151456597241:2(242-259)Online publication date: 10-Feb-2015
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