Next Article in Journal
An Intrinsic TE Approach for End-to-End QoS Provisioning in OBS Networks Using Static Load-Balanced Routing Strategies
Previous Article in Journal
A Survey on Security in Mobile Peer-to-Peer Architectures—Overlay-Based vs. Underlay-Based Approaches
Future Internet 2010, 2(4), 533-558; doi:10.3390/fi2040533

Ontology-Based Information Behaviour to Improve Web Search

*  and
Department of Informatics, Systems and Communication-DISCo, University of Milano-Bicocca, V.le Sarca 336-14, 20126, Milano, Italy
* Author to whom correspondence should be addressed.
Received: 24 September 2010 / Revised: 11 October 2010 / Accepted: 13 October 2010 / Published: 18 October 2010
View Full-Text   |   Download PDF [218 KB, uploaded 18 October 2010]   |   Browse Figures


Web Search Engines provide a huge number of answers in response to a user query, many of which are not relevant, whereas some of the most relevant ones may not be found. In the literature several approaches have been proposed in order to help a user to find the information relevant to his/her real needs on the Web. To achieve this goal the individual Information Behavior can been analyzed to ’keep’ track of the user’s interests. Keeping information is a type of Information Behavior, and in several works researchers have referred to it as the study on what people do during a search on the Web. Generally, the user’s actions (e.g., how the user moves from one Web page to another, or her/his download of a document, etc.) are recorded in Web logs. This paper reports on research activities which aim to exploit the information extracted from Web logs (or query logs) in personalized user ontologies, with the objective to support the user in the process of discovering Web information relevant to her/his information needs. Personalized ontologies are used to improve the quality of Web search by applying two main techniques: query reformulation and re-ranking of query evaluation results. In this paper we analyze various methodologies presented in the literature aimed at using personalized ontologies, defined on the basis of the observation of Information Behaviour to help the user in finding relevant information.
Keywords: keeping information; ontologies; query reformulation; re-ranking keeping information; ontologies; query reformulation; re-ranking
This is an open access article distributed under the Creative Commons Attribution License (CC BY) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Share & Cite This Article

Further Mendeley | CiteULike
Export to BibTeX |
EndNote |
MDPI and ACS Style

Calegari, S.; Pasi, G. Ontology-Based Information Behaviour to Improve Web Search. Future Internet 2010, 2, 533-558.

View more citation formats

Article Metrics

For more information on the journal, click here


[Return to top]
Future Internet EISSN 1999-5903 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert