Automated Query Learning with Wikipedia and Genetic Programming

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@Misc{DBLP:journals/corr/abs-1012-0841,

• author = "Pekka Malo and Pyry-Antti Siitari and Ankur Sinha",
• title = "Automated Query Learning with Wikipedia and Genetic Programming",
• journal = "CoRR",
• volume = "abs/1012.0841",
• year = "2010",
• bibsource = "DBLP, http://dblp.uni-trier.de",
• howpublished = "arXiv",
• keywords = "genetic algorithms, genetic programming, Wikipedia, Information retrieval, Genetic programming, Query learning, Automatic indexing, Concept recognition SVM, C4.5,coevolution",
• URL = "http://arxiv.org/abs/1012.0841",
• size = "44 pages",
• abstract = "Most of the existing information retrieval systems are based on bag of words model and are not equipped with common world knowledge. Work has been done towards improving the efficiency of such systems by using intelligent algorithms to generate search queries, however, not much research has been done in the direction of incorporating human-and-society level knowledge in the queries. This paper is one of the first attempts where such information is incorporated into the search queries using Wikipedia semantics. The paper presents an essential shift from conventional token based queries to concept based queries, leading to an enhanced efficiency of information retrieval systems. To efficiently handle the automated query learning problem, we propose Wikipedia-based Evolutionary Semantics (Wiki-ES) framework where concept based queries are learnt using a co-evolving evolutionary procedure. Learning concept based queries using an intelligent evolutionary procedure yields significant improvement in performance which is shown through an extensive study using Reuters newswire documents. Comparison of the proposed framework is performed with other information retrieval systems. Concept based approach has also been implemented on other information retrieval systems to justify the effectiveness of a transition from token based queries to concept based queries.",
• notes = "Inductive Query By Example (IQBE),TREC-11 dataset with Reuters RCV1 corpus, Wiki as alternative to Cyc, ngrams wikifier and a named-entity recognizer (NER).Conditional Random Fields (CRF)-based classifier using several individuals, JGAP, java weka, best on {"}F-score{"} See \cite{Malo:2013:AI}",

}

Genetic Programming entries for Pekka Malo Pyry-Antti Siitari Ankur Sinha

Citations