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Authors: Christos Makris 1 ; Yannis Plegas 1 ; Giannis Tzimas 2 and Emmanouil Viennas 1

Affiliations: 1 University of Patras, Greece ; 2 Technological Educational Institute of Messolonghi, Greece

ISBN: 978-989-8565-54-9

Keyword(s): Search Engines, Semantic-enhanced Web applications, Re-ranking Model, WordNet Senses, Inference Network.

Related Ontology Subjects/Areas/Topics: Searching and Browsing ; Web Information Systems and Technologies ; Web Interfaces and Applications

Abstract: Α novel framework is presented for performing re-ranking in the search results of a Web search engine, incorporating user judgments as registered in their selection of relevant documents. The proposed scheme combines smoothly techniques from the area of Inference Networks with text processing techniques exploiting semantic information, and is instantiated to a fully functional prototype at present leading to a reranking whose quality outperforms significantly the initial ranking. The innovative idea is the use of a probabilistic network based to the senses of the documents. When the user selects a document, the belief of the network to the senses of the selected document is raised up and the documents that contain these senses are ranked higher. Also we present an implemented prototype that supports three different Web search engines (and it can be extended to support many more), while extensive experiments in the ClueWeb09 dataset using the TREC’s 2009, 2010 and 2011 Web Tracks’ data depict the improvement in search performance that the proposed approach attains. (More)

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Paper citation in several formats:
Makris C., Plegas Y., Tzimas G. and Viennas E. (2013). SerfSIN: Search Engines Results' Refinement using a Sense-driven Inference Network.In Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-8565-54-9, pages 222-232. DOI: 10.5220/0004365502220232

@conference{webist13,
author={Christos Makris and Yannis Plegas and Giannis Tzimas and Emmanouil Viennas},
title={SerfSIN: Search Engines Results' Refinement using a Sense-driven Inference Network},
booktitle={Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2013},
pages={222-232},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004365502220232},
isbn={978-989-8565-54-9},
}

TY - CONF

JO - Proceedings of the 9th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - SerfSIN: Search Engines Results' Refinement using a Sense-driven Inference Network
SN - 978-989-8565-54-9
AU - Makris C.
AU - Plegas Y.
AU - Tzimas G.
AU - Viennas E.
PY - 2013
SP - 222
EP - 232
DO - 10.5220/0004365502220232

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