Special Issue Article Open Access

An innovative approach in Information Extraction using Ontology for Geospatial Domain

Abstract

Information Extraction is an energetic area of research in several fields, such as relational databases, Ontology and data incorporation. The major issue in artificial intelligence is information management, which is critical for any intelligent system. Knowledge plays a very crucial role, and it seems to be more important for finding a solution than the algorithm. Correct knowledge needs to be identified, fetched and organized to develop an intelligent system. Ontology can support all the above tasks. In the ontology construction for any language, WordNet is used. Ontology data processing will be complexly due to the flexibility of the question asking for users. Keyword based searches retrieve too many results that may not relevant. In this work, preferred domain is ‘Geography’ the input is restricted to the same. The proposed method for ontology based information extraction is totally unsupervised, and it does not require any human interference. This approach reduces the amount of computations required and also it provides additional filtering

A.Karthic

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