The power of search is with no doubt one of the main aspects for the success of the Web. Currently available search engines on the Web allow to return results with a high precision. Nevertheless, if we limit our attention only to lookup search we are missing another important search task. In exploratory search, the user is willing not only to find documents relevant with respect to her query but she is also interested in learning, discovering and understanding novel knowledge on complex and sometimes unknown topics.. In the paper we address this issue presenting LED, a web based system that aims to improve (lookup) Web search by enabling users to properly explore knowledge associated to her query. We rely on DBpedia to explore the semantics of keywords within the query thus suggesting potentially interesting related topics/keywords to the user
Autori: | |
Titolo: | From exploratory search to Web search and back |
Data di pubblicazione: | 2010 |
Nome del convegno: | 3rd Workshop on Ph.D. Students in Information and Knowledge Management, PIKM'10 |
ISBN: | 978-1-4503-0385-9 |
Digital Object Identifier (DOI): | http://dx.doi.org/10.1145/1871902.1871910 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |