Semantic Search with Information Integration
Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Since the search engine was first released in 1993, the development has never been slow down and various search engines emerged to vied for popularity. However, current traditional search engines like Google and Yahoo! are based on key words which lead to results impreciseness and information redundancy. A new search engine with semantic analysis can be the alternate solution in the future. It is more intelligent and informative, and provides better interaction with users.
This thesis discusses the detail on semantic search, explains advantages of semantic search over other key-word-based search and introduces how to integrate semantic analysis with common search engines. At the end of this thesis, there is an example of implementation of a simple semantic search engine.
Place, publisher, year, edition, pages
2011. , 46 p.
Semantic Analysis, Search Engine, NLP, J2EE
IdentifiersURN: urn:nbn:se:lnu:diva-13832OAI: oai:DiVA.org:lnu-13832DiVA: diva2:435508
Subject / course
Computer Engineering Programme, 180 credits
2011-05-30, D0070, Vaxjo, 13:45 (English)
Tobias, Andersson-Gidlund, Lecturer
Mathias, Hedenborg, Lektor