Affiliations: Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw Poland | Chair of Computer Science, The Main School of Fire Service, Słowackiego 52/54, 01-629 Warsaw Poland | Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw Poland. [email protected] | Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw Poland. [email protected]
Note: [] Address for correspondence: Faculty of Mathematics, Informatics and Mechanics, The University of Warsaw, Banacha 2, 02-097, Warsaw Poland
Abstract: 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.
