Abstract
The Web contains large amount of data of unstructured nature which gives the relevant as well as irrelevant results. To remove the irrelevancy in results, a methodology is defined which would retrieve the semantic information. Semantic search directly deals with the knowledge base which is domain specific. Everyone constructs ontology knowledge base in their own way, which results in heterogeneity in ontology. The problem of heterogeneity can be resolved by applying the algorithm of ontology mapping. All the documents are collected by Web crawler from the Web and a document base is created. The documents are then given as an input for performing semantic annotation on the updated ontology. The results against the users query are retrieved from semantic information retrieval system after applying searching algorithm on it. The experiments conducted with this methodology show that the results thus obtained provide more accurate and precise information.
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Lakshmi Tulasi, R., Rao, M.S., Ankita, K., Hgoudar, R. (2017). Ontology-Based Automatic Annotation: An Approach for Efficient Retrieval of Semantic Results of Web Documents. In: Satapathy, S., Prasad, V., Rani, B., Udgata, S., Raju, K. (eds) Proceedings of the First International Conference on Computational Intelligence and Informatics . Advances in Intelligent Systems and Computing, vol 507. Springer, Singapore. https://doi.org/10.1007/978-981-10-2471-9_32
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DOI: https://doi.org/10.1007/978-981-10-2471-9_32
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