Text Mining and Information Extraction

Ben-Dov, Moty; Feldman, Ronen

doi:10.1007/978-0-387-09823-4_42

Cited by 2 publications

(1 citation statement)

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“…The outcome of the previous IR processes was documents, however, the goal of the TM techniques is to provide new information derived as a result of the contents of the text documents (Ben-Dov and Feldman 2010). This way, SABIO integrates the TM techniques with IR, as it finds new information-objects-derived from text-normalized objects.…”

Section: Introductionmentioning

confidence: 99%

Sabio: Soft Agent for Extended Information Retrieval

Gómez

León

Ropero

et al. 2013

Applied Artificial Intelligence

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& In the current study, an integrated system called SABIO is presented. The current system applies Information Retrieval (IR) techniques developed for collections of textual documents to nontextual corpa. SABIO integrates a fuzzy logic-based procedure for IR. Its search algorithm improves the IR efficiency and decreases the computational burden by using a fuzzy logic-based procedure for IR. This procedure is integrated in a flexible and fault-tolerant, human-reasoning-based search algorithm. The Accumulated Knowledge Set (AKS) of the system is sorted in a hierarchic multilevel tree-structure-like ontology. The objects in the AKS are represented using a novel human-reasoning-based-method. This representation takes into account the occurrence of related terms. The system uses a novel fuzzy logic-based term-weighting (TW) method. The developed fuzzy logic method improves the classical term frequency-inverse document frequency (TF=IDF) method, generally used for TW. The abovementioned system is the core of a wizard for search into the website of the University of Seville, www.us.es, which is currently in testing.

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Section: Introductionmentioning

confidence: 99%