Rose, Sareena (2010) A conceptual study on searching techniques used in ontology based search engines. Masters thesis, Christ University.
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Search engines play a vital role in finding the relevant information across the web and make it available on the finger tips. But they seemed to be less efficient to understand the relationship between the keywords which had an adverse effect on the results it produced. Semantic search engines only solution to this; is still an unrealized dream due to various underlying issues. Reducing the time taken to search the semantic annotated documents is a highly demanded solution for semantic search engines. This research focuses on a study and improvisation of searching techniques used in semantic search engines keeping time complexity as the major factor. Developing semantic search engines is considered to be a time consuming and tedious process. The reasons attributed to that are It is a mightier task to semantically annotate each and every resource (text and multimedia files) available on the net as the number keeps on increasing in an exponential order per day. Another major factor is the incompatibility between the query languages which are used to query semantic annotations and text. This research briefs about how to accelerate the search by bringing down the impact of above said factors. The web has a good content of useful resources which can be applied as catalyst for the semantic search. This paper makes use of lexical database, RDBMS, Semantically annotated data as catalysts and comes out with a new conceptual idea which is simulated to a smaller extent. The organization of thesis is done into various chapters. Introduction contains the introduction about the semantic search engines and why we need to replace the keyword based search engines with semantic natured ones. This chapter also states the objective and problem statement. Literature review discusses in detail work done in this field so far which includes text categorization, mapping ontology and existing semantic search engines. Chapter 3 states the methodology in which the model is developed. This chapter also discusses different phases of the search model in a very detailed manner. It also mentions all the pre requisites and tools used by each phase. In Chapter 4 the results are analyzed and their performance is compared and evaluated. Chapter 5 talks about the future work and conclusion. Keywords: Semantic Search, Keyword based search, WordNet, Context Extraction, Semantic Annotation, Ontology, OWL.
|Item Type:||Thesis (Masters)|
|Subjects:||Thesis > MPhil > Computer Science|
|Deposited By:||Knowledge Center Christ University|
|Deposited On:||14 Dec 2011 15:58|
|Last Modified:||30 Jan 2014 19:46|
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