research-article

GeT-based Ontology Construction for Semantic Disambiguation

Authors:

Hong-Quang Nguyen,

Khoi-Nguyen TranAuthors Info & Claims

iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services

Pages 445 - 453

https://doi.org/10.1145/2684200.2684320

Published: 04 December 2014 Publication History

Abstract

Semantic Ambiguation refers to the disagreement in meaning of terms used by parties in communication due to polysemy, leading to increased complexity and lesser accuracy in information integration, migration, retrieval and related activities. Semantic Disambiguation can be performed through establishing and reconciling relative positions of parties in communication by matching their terms' meanings to a common domain-specific ontology -- a knowledge representation showing concepts, organized into domains, and relationships between them. In this paper, based on the wide existence and limitations of established hierarchical ontology in a form of Classification Schemes, we proposed a novel ontology structure combining the structured nature of hierarchy with expressive capability of graphs, called Graph-embedded Tree (GeT), and a novel approach to construct a GeT-based Ontology. Evaluation was performed on United States Patent Classification System (USPC); the results showed that the information retrieval backed by GeT-based ontology yields better disambiguation capability than other typical patent search methods.

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Cited By

Phan CNguyen HNguyen T(2018)Ontology-based heuristic patent searchInternational Journal of Web Information Systems10.1108/IJWIS-06-2018-0053Online publication date: 3-Dec-2018
https://doi.org/10.1108/IJWIS-06-2018-0053
Nguyen HPhan CNguyen HAnderst-Kotsis G(2016)GeTCoProceedings of the 18th International Conference on Information Integration and Web-based Applications and Services10.1145/3011141.3011205(241-244)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/3011141.3011205
Nguyen HNguyen HTran KVo X(2015)GeTFIRST: ontology-based keyword search towards semantic disambiguationInternational Journal of Web Information Systems10.1108/IJWIS-06-2015-001911:4(442-467)Online publication date: 16-Nov-2015
https://doi.org/10.1108/IJWIS-06-2015-0019

Index Terms

GeT-based Ontology Construction for Semantic Disambiguation
1. Computing methodologies
  1. Artificial intelligence
    1. Knowledge representation and reasoning
  2. Machine learning
    1. Machine learning approaches
      1. Rule learning
2. Information systems
  1. Information retrieval
    1. Information retrieval query processing

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iiWAS '14: Proceedings of the 16th International Conference on Information Integration and Web-based Applications & Services

December 2014

587 pages

ISBN:9781450330015

DOI:10.1145/2684200

Copyright © 2014 ACM.

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@WAS: International Organization of Information Integration and Web-based Applications and Services
Johannes Kepler Univ Linz: Johannes Kepler Universität Linz

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New York, NY, United States

Publication History

Published: 04 December 2014

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iiWAS '14

iiWAS '14: The 16th International Conference on Information Integration and Web-based Applications & Services

December 4 - 6, 2014

Hanoi, Viet Nam

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Cited By

Phan CNguyen HNguyen T(2018)Ontology-based heuristic patent searchInternational Journal of Web Information Systems10.1108/IJWIS-06-2018-0053Online publication date: 3-Dec-2018
https://doi.org/10.1108/IJWIS-06-2018-0053
Nguyen HPhan CNguyen HAnderst-Kotsis G(2016)GeTCoProceedings of the 18th International Conference on Information Integration and Web-based Applications and Services10.1145/3011141.3011205(241-244)Online publication date: 28-Nov-2016
https://dl.acm.org/doi/10.1145/3011141.3011205
Nguyen HNguyen HTran KVo X(2015)GeTFIRST: ontology-based keyword search towards semantic disambiguationInternational Journal of Web Information Systems10.1108/IJWIS-06-2015-001911:4(442-467)Online publication date: 16-Nov-2015
https://doi.org/10.1108/IJWIS-06-2015-0019

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