-
Ravana, S.D.; Taheri, M.S.; Rajagopal, P.: Document-based approach to improve the accuracy of pairwise comparison in evaluating information retrieval systems (2015)
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- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 67(2015) no.4, S.408-421
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Rajagopal, P.; Ravana, S.D.; Koh, Y.S.; Balakrishnan, V.: Evaluating the effectiveness of information retrieval systems using effort-based relevance judgment (2019)
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- 20. 1.2015 18:30:22
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- Aslib journal of information management. 71(2019) no.1, S.2-17
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Pal, S.; Mitra, M.; Kamps, J.: Evaluation effort, reliability and reusability in XML retrieval (2011)
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- Date
- 22. 1.2011 14:20:56
- Source
- Journal of the American Society for Information Science and Technology. 62(2011) no.2, S.375-394
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Vechtomova, O.: Facet-based opinion retrieval from blogs (2010)
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- Information processing and management. 46(2010) no.1, S.71-88
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Leiva-Mederos, A.; Senso, J.A.; Hidalgo-Delgado, Y.; Hipola, P.: Working framework of semantic interoperability for CRIS with heterogeneous data sources (2017)
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- Abstract
- Purpose Information from Current Research Information Systems (CRIS) is stored in different formats, in platforms that are not compatible, or even in independent networks. It would be helpful to have a well-defined methodology to allow for management data processing from a single site, so as to take advantage of the capacity to link disperse data found in different systems, platforms, sources and/or formats. Based on functionalities and materials of the VLIR project, the purpose of this paper is to present a model that provides for interoperability by means of semantic alignment techniques and metadata crosswalks, and facilitates the fusion of information stored in diverse sources. Design/methodology/approach After reviewing the state of the art regarding the diverse mechanisms for achieving semantic interoperability, the paper analyzes the following: the specific coverage of the data sets (type of data, thematic coverage and geographic coverage); the technical specifications needed to retrieve and analyze a distribution of the data set (format, protocol, etc.); the conditions of re-utilization (copyright and licenses); and the "dimensions" included in the data set as well as the semantics of these dimensions (the syntax and the taxonomies of reference). The semantic interoperability framework here presented implements semantic alignment and metadata crosswalk to convert information from three different systems (ABCD, Moodle and DSpace) to integrate all the databases in a single RDF file. Findings The paper also includes an evaluation based on the comparison - by means of calculations of recall and precision - of the proposed model and identical consultations made on Open Archives Initiative and SQL, in order to estimate its efficiency. The results have been satisfactory enough, due to the fact that the semantic interoperability facilitates the exact retrieval of information. Originality/value The proposed model enhances management of the syntactic and semantic interoperability of the CRIS system designed. In a real setting of use it achieves very positive results.
-
Angelini, M.; Fazzini, V.; Ferro, N.; Santucci, G.; Silvello, G.: CLAIRE: A combinatorial visual analytics system for information retrieval evaluation (2018)
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- Information processing and management. 54(2018) no.6, S.1077-1100
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Losada, D.E.; Parapar, J.; Barreiro, A.: Multi-armed bandits for adjudicating documents in pooling-based evaluation of information retrieval systems (2017)
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- Information processing and management. 53(2017) no.5, S.1005-1025
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White, H.D.: Relevance theory and distributions of judgments in document retrieval (2017)
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- Information processing and management. 53(2017) no.5, S.1080-1102
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Kutlu, M.; Elsayed, T.; Lease, M.: Intelligent topic selection for low-cost information retrieval evaluation : a new perspective on deep vs. shallow judging (2018)
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- Information processing and management. 54(2018) no.1, S.37-59
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Chu, H.: Factors affecting relevance judgment : a report from TREC Legal track (2011)
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- 12. 7.2011 18:29:22
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Wildemuth, B.; Freund, L.; Toms, E.G.: Untangling search task complexity and difficulty in the context of interactive information retrieval studies (2014)
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- 6. 4.2015 19:31:22
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Al-Maskari, A.; Sanderson, M.: ¬A review of factors influencing user satisfaction in information retrieval (2010)
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- Journal of the American Society for Information Science and Technology. 61(2010) no.5, S.859-868
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Colace, F.; Santo, M. de; Greco, L.; Napoletano, P.: Improving relevance feedback-based query expansion by the use of a weighted word pairs approach (2015)
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- Journal of the Association for Information Science and Technology. 66(2015) no.11, S.2223-2234
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Li, J.; Zhang, P.; Song, D.; Wu, Y.: Understanding an enriched multidimensional user relevance model by analyzing query logs (2017)
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- Journal of the Association for Information Science and Technology. 68(2017) no.12, S.2743-2754
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Thornley, C.V.; Johnson, A.C.; Smeaton, A.F.; Lee, H.: ¬The scholarly impact of TRECVid (2003-2009) (2011)
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- Journal of the American Society for Information Science and Technology. 62(2011) no.4, S.613-627
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Bashir, S.; Rauber, A.: On the relationship between query characteristics and IR functions retrieval bias (2011)
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- Journal of the American Society for Information Science and Technology. 62(2011) no.8, S.1515-1532
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Vakkari, P.; Huuskonen, S.: Search effort degrades search output but improves task outcome (2012)
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- Journal of the American Society for Information Science and Technology. 63(2012) no.4, S.657-670
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Kelly, D.; Sugimoto, C.R.: ¬A systematic review of interactive information retrieval evaluation studies, 1967-2006 (2013)
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Lu, K.; Kipp, M.E.I.: Understanding the retrieval effectiveness of collaborative tags and author keywords in different retrieval environments : an experimental study on medical collections (2014)
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- Journal of the Association for Information Science and Technology. 65(2014) no.3, S.483-500
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Tamine, L.; Chouquet, C.; Palmer, T.: Analysis of biomedical and health queries : lessons learned from TREC and CLEF evaluation benchmarks (2015)
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- Journal of the Association for Information Science and Technology. 66(2015) no.12, S.2626-2642
