Article

Building automatically a business registration ontology

Authors:

Melania Degeratu,

Vasileios HatzivassiloglouAuthors Info & Claims

dg.o '02: Proceedings of the 2002 annual national conference on Digital government research

Pages 1 - 7

Published: 19 May 2002 Publication History

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Abstract

We discuss a domain-independent, corpus based method for dictionary-less automatic extraction of ontological knowledge from domain-specific unannotated documents. We present the architecture, algorithms, and results for ONTOSTRUCT---a new system that uses machine learning and statistical techniques to analyze text sources, discover terms, link equivalent terms into concepts, learn both hierarchical and non-hierarchical conceptual relations, and build an extensive, semantically sound hierarchy of concepts. We report on ONTOSTRUCT's results in constructing a domain-specific ontology for the business registration domain, and evaluate the performance of two of its modules.

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Suktarachan MJukhamsri PChbeir RIshikawa HSumiya KHatano KKoeppen M(2018)Ontology construction from Thailand labor protection actProceedings of the 10th International Conference on Management of Digital EcoSystems10.1145/3281375.3281410(47-54)Online publication date: 25-Sep-2018
https://dl.acm.org/doi/10.1145/3281375.3281410
Yang HCallan JCharbonneau MDiamond LShulman SChun SJanssen MGil-Garcia J(2008)Ontology generation for large email collectionsProceedings of the 2008 international conference on Digital government research10.5555/1367832.1367875(254-261)Online publication date: 18-May-2008
https://dl.acm.org/doi/10.5555/1367832.1367875
Yang HCallan JElmasri RDoerr MBrochhausen MHan H(2008)Learning the distance metric in a personal ontologyProceedings of the 2nd international workshop on Ontologies and information systems for the semantic web10.1145/1458484.1458488(17-24)Online publication date: 30-Oct-2008
https://dl.acm.org/doi/10.1145/1458484.1458488
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Building automatically a business registration ontology

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dg.o '02: Proceedings of the 2002 annual national conference on Digital government research

May 2002

1234 pages

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Digital Government Society of North America

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Published: 19 May 2002

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dg.o '02

dg.o '02: Digital government research

May 19 - 22, 2002

California, Los Angeles, USA

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Suktarachan MJukhamsri PChbeir RIshikawa HSumiya KHatano KKoeppen M(2018)Ontology construction from Thailand labor protection actProceedings of the 10th International Conference on Management of Digital EcoSystems10.1145/3281375.3281410(47-54)Online publication date: 25-Sep-2018
https://dl.acm.org/doi/10.1145/3281375.3281410
Yang HCallan JCharbonneau MDiamond LShulman SChun SJanssen MGil-Garcia J(2008)Ontology generation for large email collectionsProceedings of the 2008 international conference on Digital government research10.5555/1367832.1367875(254-261)Online publication date: 18-May-2008
https://dl.acm.org/doi/10.5555/1367832.1367875
Yang HCallan JElmasri RDoerr MBrochhausen MHan H(2008)Learning the distance metric in a personal ontologyProceedings of the 2nd international workshop on Ontologies and information systems for the semantic web10.1145/1458484.1458488(17-24)Online publication date: 30-Oct-2008
https://dl.acm.org/doi/10.1145/1458484.1458488
Wong WLiu WBennamoun M(2006)Integrated scoring for spelling error correction, abbreviation expansion and case restoration in dirty textProceedings of the fifth Australasian conference on Data mining and analystics - Volume 6110.5555/1273808.1273820(83-89)Online publication date: 1-Nov-2006
https://dl.acm.org/doi/10.5555/1273808.1273820

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A new method of building ontology using inheritance

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The business process modelling ontology

A new method of building ontology using inheritance

Automatically refining the wikipedia infobox ontology

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