06106047

a

06106047 Janusz, Andrzej \'Swieboda, Wojciech Krasuski, Adam Nguyen, Hung Son Interactive document indexing method based on explicit semantic analysis. Yao, JingTao (ed.) et al., Rough sets and current trends in computing. 8th international conference, RSCTC 2012, Chengdu, China, August 17--20, 2012. Proceedings. Berlin: Springer (ISBN 978-3-642-32114-6/pbk). Lecture Notes in Computer Science 7413. Lecture Notes in Artificial Intelligence, 156-165 (2012). 2012 Berlin: Springer EN Semantic Search Interactive Learning Explicit Semantic Analysis PubMed MeSH

doi:10.1007/978-3-642-32115-3_18

Summary: 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.