Abstract
Information Retrieval [IR] is a technique used for searching documents, information within documents, and for metadata about documents, and also the searching relational databases and the World Wide Web. There is overlap in the usage of the terms data retrieval, document retrieval, information retrieval, and text retrieval, but each also has its own body of literature, theory, and technologies. In this paper the collection of documents is matched through ontological concepts instead of keywords and zone based indexing is used to sustain retrieval status value (RSV). Zones are similar to fields, except the contents of a zone can be arbitrary free text. A field will take on a relatively small set of values, a zone can be thought of as an arbitrary, unbounded amount of text. For instance, document titles and abstracts are generally treated as zones. We have built a separate inverted index for each zone of a document. The proposed system aims for better recall and precision.
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Mukesh, R., Penchala, S.K., Ingale, A.K. (2013). Ontology Based Zone Indexing Using Information Retrieval Systems. In: Unnikrishnan, S., Surve, S., Bhoir, D. (eds) Advances in Computing, Communication, and Control. ICAC3 2013. Communications in Computer and Information Science, vol 361. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-36321-4_16
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DOI: https://doi.org/10.1007/978-3-642-36321-4_16
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