Ontology Based Information Retrieval - An Analysis

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Provided by: International Journal of Advanced Research in Computer Science and Software Engineering (IJARCSSE)
Topic: Big Data
Format: PDF
Ontology is a description of concepts with relation and properties to be used in knowledge engineering as a knowledge base. Ontology is used in information retrieval to retrieve more relevant information from a collection of unstructured information source. In this paper various Ontology based information retrieval methods have been analyzed. There are various approaches developed to make the information retrieval more efficient. The methods have been classified as vector space, probabilistic and semantic based techniques. Semantic based information retrieval can still be classified as semantic similarity, semantic association and semantic annotation. A comparative analysis is made on all the available methods, which will guide the developer to choose the appropriate Ontology based information retrieval method.
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