Authors: Khedija Arour; Saloua Zammali; Amel Bouzeghoub
Addresses: Computer Science Department, National Institute of Applied Sciences and Technology of Tunis, Carthage University, Tunis, Tunisia ' Computer Science Department, Faculty of Sciences of Tunis, Tunis El Manar University, University Campus, Tunis, Tunisia ' Computer Science Department, Institut Mines-TELECOM, TELECOM SudParis, UMR CNRS Samavor, 91011 Evry Cedex, France
Abstract: With the rapid growth of information rate in the web, it is of paramount importance to develop scalable information retrieval approaches. These approaches are based on distributed information retrieval systems. Likewise, the emergence of contextual information retrieval has introduced the research personalisation which attempts to reduce the research ambiguity and to return most appropriate information to the user. Therefore, it seems a compelling issue, to implement techniques related to contextual peer-to-peer information retrieval (P2P-IR) to better exploit the personalisation of information in order to achieve a more efficient access to data. In this respect, evaluating these approaches in contextual P2P-IR is a crucial step. Indeed, to the best of our knowledge, there is no available test-beds dedicated to the evaluation of contextual P2P-IR. In particular, we propose, two methods. The first is based on existing collections that are enriched with external semantic resources. The second offers the possibility to build test-beds from multiple sources data.
Keywords: testbeds; context; P2P information retrieval; peer-to-peer; ontology; enrichment; query expansion; query routing; results aggregation; document distribution; context-aware information retrieval; information personalisation; semantic resources.
International Journal of Space-Based and Situated Computing, 2015 Vol.5 No.1, pp.23 - 38
Received: 04 Dec 2013
Accepted: 13 Apr 2014
Published online: 31 Mar 2015 *