2011Unpublished venueRequires access

A Framework for Ontology Creation and Management for Semantic Web

Imran Sarwar Bajwa

Open publisher page 4 citations

Abstract

Abstract—An ontology is a model of reality of the world and the concepts in the ontology must reflect this reality. Ontologies are building blocks of Semantic Web based systems. Creating ontologies is not an easy task and obviously there is no unique correct ontology for any domain. There are many other important issues related to the ontology domain engineering some of which are ontology integration, ontology mapping, ontology translation, ontology reuse and ontology consistency check. Due to unavailability of any standard for ontology building, ontologies on the same subject are different. There are different ontology tools that use different ontology languages. Due to these reasons, interoperability between the ontologies is very low. Current ontology tools concentrate mostly on the functions: create, edit, and inference. Most of the tools do not support the merging of heterogeneous domain ontologies. Moreover, the issues of duplicate information across documents and redundant annotations are major challenges of automatic ontology creation as the automatically populating ontology from diverse and distributed web resources poses significant challenges. Index Terms—Ontology Creation, Ontology management, Natural Language Processing, Semantic Web.

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What this paper is about

Abstract—An ontology is a model of reality of the world and the concepts in the ontology must reflect this reality. Ontologies are building blocks of Semantic Web based systems. Creating ontologies is not an easy task and obviously there is no unique correct ontology for any domain. There are many other important issues related to the ontology domain engineering some of which are ontology integration, ontology mapping, ontology translation, ontology reuse and ontology consistency check. Due to unavailability of any standard for ontology building, ontologies on the same subject are different. There are different ontology tools that use different ontology languages. Due to these reasons, interoperability between the ontologies is very low. Current ontology tools concentrate mostly on the functions: create, edit, and inference. Most of the tools do not support the merging of heterogeneous domain ontologies. Moreover, the issues of duplicate information across documents and redundant annotations are major challenges of automatic ontology creation as the automatically populating ontology from diverse and distributed web resources poses significant challenges. Index Terms—Ontology Creation, Ontology management, Natural Language Processing, Semantic Web.

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Available abstract

Abstract—An ontology is a model of reality of the world and the concepts in the ontology must reflect this reality. Ontologies are building blocks of Semantic Web based systems. Creating ontologies is not an easy task and obviously there is no unique correct ontology for any domain. There are many other important issues related to the ontology domain engineering some of which are ontology integration, ontology mapping, ontology translation, ontology reuse and ontology consistency check. Due to unavailability of any standard for ontology building, ontologies on the same subject are different. There are different ontology tools that use different ontology languages. Due to these reasons, interoperability between the ontologies is very low. Current ontology tools concentrate mostly on the functions: create, edit, and inference. Most of the tools do not support the merging of heterogeneous domain ontologies. Moreover, the issues of duplicate information across documents and redundant annotations are major challenges of automatic ontology creation as the automatically populating ontology from diverse and distributed web resources poses significant challenges. Index Terms—Ontology Creation, Ontology management, Natural Language Processing, Semantic Web.

Key concepts: Upper ontology, Process ontology, Suggested Upper Merged Ontology, Ontology-based data integration, Ontology, Computer science, Ontology Inference Layer, Open Biomedical Ontologies

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