Finding paths connecting two proper nouns using an ant colony algorithm
|Finding paths connecting two proper nouns using an ant colony algorithm|
|Published in||ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications|
|Keyword(s)||Ant colony optimization, Freebase, Relevant, Web 2.0, Wiki mining (Extra: Ant colony algorithms, Ant Colony Optimization (ACO), Ant colony optimization methods, Collaborative systems, Finding paths, Freebase, Information resource, Proper nouns, Relevant, Search problem, Web 2.0, Wikipedia, Artificial intelligence, Internet, Web services, Algorithms)|
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Finding paths connecting two proper nouns using an ant colony algorithm is a 2011 conference paper written in English by Hakande D. and published in ECTA 2011 FCTA 2011 - Proceedings of the International Conference on Evolutionary Computation Theory and Applications and International Conference on Fuzzy Computation Theory and Applications.
Collaborative systems available on the Web allow millions of users to share information through a growing collection of tools and platforms such as wiki- patforms, blogs, and shared forums. With abundant information resources on the Internet such as Wikipedia or the Freebase, we study the connections between two proper nouns. Nevertheless, the problem is a challenging search problem, as information on the Internet is undoubtedly large and full of irrelevant information. In this project, we first parse and mine the entire Freebase database in order to extract the relevant information of proper nouns. Further we apply Ant Colony Optimization method for finding the path that connects two proper nouns together.
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