2014Unpublished venueRequires access

Similarity algorithm for evaluating the coverage of domain ontology for semantic Web services

Radziah Mohamad, Nurhamizah Mohd-Hamka

Open publisher page 6 citations

Abstract

Ontology evaluation consists of verification and validation of ontology to achieve selected evaluation objectives. Domain ontology developments were time consuming and did need proper way of evaluation so that the ontology does support the knowledge it represent throughout certain domain. Ontology reuse becomes the main objectives as to increase the resource reusability of the already built ontology. Domain ontology evaluation currently validated via gold standard or expert validation and it might lead to biased validation. User has its own perception towards the criteria of the ontology they want, there are not exact standard of ontology quality since variety of requirements to select suitable ontology for their usage. Travel domain will be our case study domain and we will pick on any ontology consider as `travel ontology' from the searched from ontology inventories in Web. We proposed algorithm measurement to validate the coverage of ontology gathered and display the result to users. This is to ensure user select the suitable ontology based on coverage result.

About this research paper

What this paper is about

Ontology evaluation consists of verification and validation of ontology to achieve selected evaluation objectives. Domain ontology developments were time consuming and did need proper way of evaluation so that the ontology does support the knowledge it represent throughout certain domain. Ontology reuse becomes the main objectives as to increase the resource reusability of the already built ontology. Domain ontology evaluation currently validated via gold standard or expert validation and it might lead to biased validation. User has its own perception towards the criteria of the ontology they want, there are not exact standard of ontology quality since variety of requirements to select suitable ontology for their usage. Travel domain will be our case study domain and we will pick on any ontology consider as `travel ontology' from the searched from ontology inventories in Web. We proposed algorithm measurement to validate the coverage of ontology gathered and display the result to users. This is to ensure user select the suitable ontology based on coverage result.

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OpenAlex reports 6 citations for this work. Citation counts describe recorded attention and do not establish research quality.

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Available abstract

Ontology evaluation consists of verification and validation of ontology to achieve selected evaluation objectives. Domain ontology developments were time consuming and did need proper way of evaluation so that the ontology does support the knowledge it represent throughout certain domain. Ontology reuse becomes the main objectives as to increase the resource reusability of the already built ontology. Domain ontology evaluation currently validated via gold standard or expert validation and it might lead to biased validation. User has its own perception towards the criteria of the ontology they want, there are not exact standard of ontology quality since variety of requirements to select suitable ontology for their usage. Travel domain will be our case study domain and we will pick on any ontology consider as `travel ontology' from the searched from ontology inventories in Web. We proposed algorithm measurement to validate the coverage of ontology gathered and display the result to users. This is to ensure user select the suitable ontology based on coverage result.

Key concepts: Ontology, Ontology-based data integration, Computer science, Upper ontology, Process ontology, Suggested Upper Merged Ontology, OWL-S, Ontology Inference Layer

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