Abstract
In order to realize the on-the-fly ontology construction for the Semantic Web, this paper proposes DODDLE-R, a support environment for user-centered ontology development. It consists of two main parts: pre-processing part and quality improvement part. Pre-processing part generates a prototype ontology semi-automatically, and quality improvement part supports the refinement of it interactively. As we believe that careful construction of ontologies from preliminary phase is more efficient than attempting generate ontologies full-automatically (it may cause too many modification by hand), quality improvement part plays significant role in DODDLE-R. Through interactive support for improving the quality of prototype ontology, OWL-Lite level ontology, which consists of taxonomic relationships (class – sub class relationship) and non-taxonomic relationships (defined as property), is constructed efficiently.
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References
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American (2001)
Gruber, T.: Ontolingua: A Mechanism to Support Portable Ontologies. Version 3.0 TR, KSL (1992)
Heijst, G.V.: The Role of Ontologies in Knowledge Engineering. Dr.thesis, University of Amsterdam (1995)
Ding, Y., Foo, S.: Ontology Research and Development, Part 1 – a Review of Onlotogy. Journal of Information Science, 123–136 (2002)
Lassila, O., Swick, R.R.: Resource Description Framework(RDF) Model and Syntax Specification (1999), http://www.w3.org/RDF/
Sugiura, N., et al.: A Domain Ontology Engineering Tool with General Ontologies and Text Corpus. In: Proceedings of the 2nd Workshop on Evaluation of Ontologybased Tools, pp. 71–82 (2003)
Michael, K., Smith, C.W., McGuinness, D.L.: OWL Web Ontology Language Guide (2004), http://www.w3.org/TR/owl-guide/
Miller, G.A.: WordNet: A Lexical Database for English, pp. 39–41. ACM, New York (1995)
Marti, A., Hearst, H.S.: Customizing a Lexicon to Better Suit a Computational Task. In: Corpus Processing for Lexical Acquisition, pp. 77–96 (1996)
Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: Proceedings of VLDB Conference, pp. 487–499 (1994)
Brickley, D., Guha, R.: RDF Vocabulary Description Language 1.0: Rdf Schema. W3C Proposed Recommendation (2003), http://www.w3.org/TR/2004/REC-rdfschema-20040210/
Izumi, N., Takeshi Morita, N.F., Yamaguchi, T.: RDF-based Meta-Model Management Environment. In: Proceedings of The 6th SANKEN (ISIR) International Symposium (2003)
Alder, G.: Jgraph (2003), http://www.jgraph.com
HP Labs: Jena Semantic Web Framework (2003), http://jena.sourceforge.net/downloads.html
Jeen Broekstra, A.K., Harmelen, F.V.: Sesame: A Generic Architecture for Storing and Querying RDF and RDF Schema. Towards the Semantic Web, 71–88 (2002), http://sesame.aidministrator.nl
Sono, K., Yamate, M.: United Nations Convention on Contracts for the International Sale of Goods. Seirin Shoin (1993)
Navigli, R., Velardi, P.: Automatic Adaptation of WordNet to Domains. In: Proceedings of International Workshop on Ontologies and Lexical Knowledge Bases (2002)
Velardi, P., Fabriani, M.M.,, P.: Using Text Processing Techniques to Automatically enrich a Domain Ontology. In: Proceedings of ACM Conf. On Formal ontologies and Information Systems (ACM FOIS), pp. 270–284 (2001)
Yamaguchi, T.: Constructing domain ontologies based on concept drift analysis. In: Proceedings of the IJCAI 1999 Workshop on Ontologies and Problem Solving methods(KRR5) (1999)
Hahn, U., Schnattingerg, K.: Toward text knowledge engineering. In: AAAI 1998 Proceedings, pp. 524–531 (1998)
Faure, D., Nédellec, C.: Knowledge Acquisition of Predicate Argument Structures from Technical Texts. In: Proceedings of International Conference on Knowledge Engineering and Knowledge Management (1999)
Maedche, A., Staab, S.: Discovering Conceptual Relations from Text. In: Proceedings of 14th European Conference on Artificial Intelligence, pp. 321–325 (2000)
Weka: Machine Learning Software in Java (2004), http://www.cs.waikato.ac.nz/~ml/weka/index.html
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Sugiura, N., Shigeta, Y., Fukuta, N., Izumi, N., Yamaguchi, T. (2004). Towards On-the-Fly Ontology Construction – Focusing on Ontology Quality Improvement. In: Bussler, C.J., Davies, J., Fensel, D., Studer, R. (eds) The Semantic Web: Research and Applications. ESWS 2004. Lecture Notes in Computer Science, vol 3053. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-25956-5_1
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DOI: https://doi.org/10.1007/978-3-540-25956-5_1
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