2011International Journal of Web and Grid ServicesRequires access

Ontology construction using online ontologies based on selection, mapping and merging

Jungmin Kim, Pankoo Kim, Hyun-Sook Chung

Open publisher page 13 citations

Abstract

The reuse of ontologies existing on the Web should be required to speed up ontology construction process. However, current ontology mapping approaches assume that two input ontologies are given not discovered from available semantic data of the web. In this paper, we present a new approach, which integrates ontology selection, mapping, and merging processes in order to minimise human mediation. Our ontology selection mechanism accepts a hand-crafted ontology as query ontology to search already constructed relevant ontologies. In addition, we develop a ranking method based on syntactic and semantic structure of classes to provide the best search result to the user.

About this research paper

What this paper is about

The reuse of ontologies existing on the Web should be required to speed up ontology construction process. However, current ontology mapping approaches assume that two input ontologies are given not discovered from available semantic data of the web. In this paper, we present a new approach, which integrates ontology selection, mapping, and merging processes in order to minimise human mediation. Our ontology selection mechanism accepts a hand-crafted ontology as query ontology to search already constructed relevant ontologies. In addition, we develop a ranking method based on syntactic and semantic structure of classes to provide the best search result to the user.

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OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

The reuse of ontologies existing on the Web should be required to speed up ontology construction process. However, current ontology mapping approaches assume that two input ontologies are given not discovered from available semantic data of the web. In this paper, we present a new approach, which integrates ontology selection, mapping, and merging processes in order to minimise human mediation. Our ontology selection mechanism accepts a hand-crafted ontology as query ontology to search already constructed relevant ontologies. In addition, we develop a ranking method based on syntactic and semantic structure of classes to provide the best search result to the user.

Key concepts: Computer science, Ontology, Process ontology, Ontology-based data integration, Upper ontology, Information retrieval, Ontology alignment, OWL-S

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