Abstract
Due to the problems (poor precision, poor recall etc) associated with current keyword based search engines, a number of semantic search architectures have been proposed in near past. These semantic approaches though effective in returning better and more relevant search results, suffer from a number of drawbacks when it comes to scaling their implementation to a full web search. We have identified a number of limitations associated with semantic search; like lack of semantics for the web documents, domain limited search, search limited to the semantic parts of the web, lack of a unified ontology knowledge base etc. Through our work, we put forward a search-architecture for today’s web (partly semantic and mostly non semantic information). It addresses the fundamental issues of ontology standardization by introducing the notion of semantic annotations for ontologies using a global ontology. The proposed model combines the content based (keyword) and context based (semantic) search approaches thus taking into account the present (mostly non semantic data) and the future (semantic information).
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Rathore, R., Goudar, R., Rao, S., Singh, P., Chauhan, R. (2012). MotherOnt: A Global Grid Environment for Interconnecting the Ontologies Semantically to Enable the Effective Semantic Search. In: Mathew, J., Patra, P., Pradhan, D.K., Kuttyamma, A.J. (eds) Eco-friendly Computing and Communication Systems. ICECCS 2012. Communications in Computer and Information Science, vol 305. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32112-2_3
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DOI: https://doi.org/10.1007/978-3-642-32112-2_3
Publisher Name: Springer, Berlin, Heidelberg
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