2010Key engineering materialsRequires access

A Method for Ontology Module Selection

Hong Mei Zhu, Yong Quan Liang, Qi Tian, Shu Juan Ji

Open publisher page 1 citations

Abstract

The central idea of ontology engineering in semantic Web is extensive reuse of existing ontology. Ontology selection mechanism should offer support for modularization and automatic knowledge reuse. Because the chance of finding a completely covering ontology is extremely low, the present ontology selection mechanism frequently returns a collection of ontology that jointly cover the query vocabulary and the returned ontology should be extracted and combined. The efficiency of most existing ontology extraction algorithm and the decomposition algorithm is low when they try to get a suitable ontology module from a large ontology at run time. In order to solve this problem, this paper proposed a kind of ontology module selection method without the use of top ontology: Decomposes the big ontology into ontology modules in advance, inquires and chooses the corresponding ontology modules from the ontology module base in application stage, applies or composes the selected ontology modules in the next step. In this paper, relevant concepts and criterions of ontology modules selection are studied, including basic notions and conventions. Method of ontology module selection is described. Candidate ontology module identification and evaluation method are introduced; preliminary experimental results and the corresponding analysis are shown at the last section.

About this research paper

What this paper is about

The central idea of ontology engineering in semantic Web is extensive reuse of existing ontology. Ontology selection mechanism should offer support for modularization and automatic knowledge reuse. Because the chance of finding a completely covering ontology is extremely low, the present ontology selection mechanism frequently returns a collection of ontology that jointly cover the query vocabulary and the returned ontology should be extracted and combined. The efficiency of most existing ontology extraction algorithm and the decomposition algorithm is low when they try to get a suitable ontology module from a large ontology at run time. In order to solve this problem, this paper proposed a kind of ontology module selection method without the use of top ontology: Decomposes the big ontology into ontology modules in advance, inquires and chooses the corresponding ontology modules from the ontology module base in application stage, applies or composes the selected ontology modules in the next step. In this paper, relevant concepts and criterions of ontology modules selection are studied, including basic notions and conventions. Method of ontology module selection is described. Candidate ontology module identification and evaluation method are introduced; preliminary experimental results and the corresponding analysis are shown at the last section.

Why it matters

OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The central idea of ontology engineering in semantic Web is extensive reuse of existing ontology. Ontology selection mechanism should offer support for modularization and automatic knowledge reuse. Because the chance of finding a completely covering ontology is extremely low, the present ontology selection mechanism frequently returns a collection of ontology that jointly cover the query vocabulary and the returned ontology should be extracted and combined. The efficiency of most existing ontology extraction algorithm and the decomposition algorithm is low when they try to get a suitable ontology module from a large ontology at run time. In order to solve this problem, this paper proposed a kind of ontology module selection method without the use of top ontology: Decomposes the big ontology into ontology modules in advance, inquires and chooses the corresponding ontology modules from the ontology module base in application stage, applies or composes the selected ontology modules in the next step. In this paper, relevant concepts and criterions of ontology modules selection are studied, including basic notions and conventions. Method of ontology module selection is described. Candidate ontology module identification and evaluation method are introduced; preliminary experimental results and the corresponding analysis are shown at the last section.

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

Related papers

Back to paper searchBrowse research topicsOriginal source
A Method for Ontology Module Selection — Research Paper | ScholarLens