Ontology Essay

2141 Words5 Pages

Ontology contains a set of concepts and relationship between concepts, and can be applied into information retrieval to deal with user queries.
Challenges in interpreting a query from different ontologies:
• It is not possible to determine in advance which ontologies will be relevant to a particular query.
• User queried keyword has to be translated into ontology-centric terminologies.
• Answer to a query may require the integration of information from multiple ontologies.

Our approach is to keep the ontologies separate. We assume they use the same description logic, even though not essentially the same vocabulary (i.e. they can use different names for the same concept and/or the same names for different concepts). The aim is to create a collaborative system in which ontology co-operate with one another to answer questions about the information they have. Hence, hoping to locate more of the matches we need to find, we can make use of multiple ontologies as background knowledge.

There will be difference in the level of details given by different ontologies on the same domain. This poses extra challenges to select the ontology that has the accurate level of detail. Ontology selection is the process of identifying one or more ontologies that satisfy certain criteria. These criteria can be related to topic coverage of the ontology. The actual process of inspecting whether ontology satisfies certain criteria is fundamentally an ontology evaluation task. In this approach ontology concepts are compared to a set of query terms that represent the domain. It first tries to determine ontologies that contain the given keyword. If no matches are found, it queries for the synonyms of the term and then for its hypernyms. The ontology se...

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5 Conclusion

This paper has presented a multiple ontology query processing method and analyzed case studies on domain-specific ontology based query expansion. Use of ontologies for information retrieval, in particular their use in the area of query expansion is presented. Concept-based query expansion retaining original keywords yields more desirable and useful results. Compound words add complexity to the query expansion, however further research experiments are desirable to study the effects of using ontology for query expansion. Finally further research is outlined for the exploit of ontology based information retrieval in Cloud.

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