July 16, 2017

Download Advances in Artificial Intelligence: 15th Conference of the by Enrique Machuca, Lawrence Mandow, Lucie Galand (auth.), PDF

By Enrique Machuca, Lawrence Mandow, Lucie Galand (auth.), Concha Bielza, Antonio Salmerón, Amparo Alonso-Betanzos, J. Ignacio Hidalgo, Luis Martínez, Alicia Troncoso, Emilio Corchado, Juan M. Corchado (eds.)

This publication constitutes the refereed complaints of the fifteenth convention of the Spanish organization for man made Intelligence, CAEPIA 20013, held in Madrid, Spain, in September 2013. The 27 revised complete papers awarded have been conscientiously chosen from sixty six submissions. The papers are equipped in topical sections on Constraints, seek and making plans, clever internet and knowledge retrieval, fuzzy structures, wisdom illustration, reasoning and common sense, computing device studying, multiagent structures, multidisciplinary issues and purposes, metaheuristics, uncertainty in synthetic intelligence.

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Additional resources for Advances in Artificial Intelligence: 15th Conference of the Spanish Association for Artificial Intelligence, CAEPIA 2013, Madrid, Spain, September 17-20, 2013. Proceedings

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We compare the performance of our comments-based approach against the standard RM3 formulation. Our experiments show that the new expansion method is promising when compared to global approaches that consider the whole document to do expansion. 2 Background Nowadays, advanced search tasks need to go beyond a ranked list of relevant documents. One of these tasks is opinion retrieval [10,1], where opinions need to be integrated within the retrieval task. For instance, in the TREC Blog Track [2] the participants are asked to search for blog pages that express an opinion about a given topic.

Arias Gallego et al. Fig. 3. Prototype of our multimedia search engine HDT-FoQ largely overcomes Virtuoso for the pure structural queries: Q1 and Q2 (it is worth noting that evaluation times for Q1 are more than 1 order of magnitude faster than the remaining queries). Both techniques report similar numbers for Q3 due to the need for full-text searching, but HDT-FoQ overcomes Virtuoso again for Q4 . It is worth mentioning that searches involving full words were executed using Virtuoso’s bif:contains because it improves regex peformance.

3. Prototype of our multimedia search engine HDT-FoQ largely overcomes Virtuoso for the pure structural queries: Q1 and Q2 (it is worth noting that evaluation times for Q1 are more than 1 order of magnitude faster than the remaining queries). Both techniques report similar numbers for Q3 due to the need for full-text searching, but HDT-FoQ overcomes Virtuoso again for Q4 . It is worth mentioning that searches involving full words were executed using Virtuoso’s bif:contains because it improves regex peformance.

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