Interactive Method for Semantic Document Indexing Based on Explicit Semantic Analysis

• Autorzy: Świeboda W. , Krasuski A. , Nguyen H. S. , Janusz A.

Identyfikatory

DOI

10.3233/FI-2014-1052

• Języki publikacji: EN

Abstrakty

EN

In this article we propose a general framework incorporating semantic indexing and search of texts within scientific document repositories. In our approach, a semantic interpreter, which can be seen as a tool for automatic tagging of textual data, is interactively updated based on feedback from the users, in order to improve quality of the tags that it produces. In our experiments, we index our document corpus using the Explicit Semantic Analysis (ESA) method. In this algorithm, an external knowledge base is used to measure relatedness between words and concepts, and those assessments are utilized to assign meaningful concepts to given texts. In the paper, we explain how the weights expressing relations between particular words and concepts can be improved by interaction with users or by employment of expert knowledge. We also present some results of experiments on a document corpus acquired from the PubMed Central repository to show feasibility of our approach.

Słowa kluczowe

EN

semantic search; interactive learning; explicit semantic analysis; PubMed; MeSH

• Wydawca: IOS Press
• Czasopismo: Fundamenta Informaticae
• Rocznik: 2014
• Tom: Vol. 132, nr 3
• Strony: 423--438
• Opis fizyczny: Bibliogr. 22 poz., rys., tab., wykr.

Twórcy

autor

Świeboda W.

• Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

autor

Krasuski A.

• Chair of Computer Science, The Main School of Fire Service, Słowackiego 52/54, 01-629 Warsaw, Poland

autor

Nguyen H. S.

• Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

autor

Janusz A.

• Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw, Poland

Bibliografia

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