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Larouk, O.; El Hachani, M.: Reorganization of knowledge in technical documents for the information system : the extraction of logico-cognitive information from heterogeneous administrative data (2018)
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Alves dos Santos, E.; Mucheroni, M.L.: VIAF and OpenCitations : cooperative work as a strategy for information organization in the linked data era (2018)
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Moreiro-González, J.A.; Ortiz-Repiso, V.: What is happening about KOS in Spain : scientific production analysis, 2000-2017 (2018)
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Zeng, Q.; Yu, M.; Yu, W.; Xiong, J.; Shi, Y.; Jiang, M.: Faceted hierarchy : a new graph type to organize scientific concepts and a construction method (2019)
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Oguz, F.; Koehler, W.: URL decay at year 20 : a research note (2016)
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- Abstract
- Purpose Ontologies are used to formally describe the concepts within a domain in a machine-understandable way. Matching of heterogeneous ontologies is often essential for many applications like semantic annotation, query answering or ontology integration. Some ontologies may include a large number of entities which make the ontology matching process very complex in terms of the search space and execution time requirements. The purpose of this paper is to present a technique for finding degree of similarity between ontologies that trims down the search space by eliminating the ontology concepts that have less likelihood of being matched. Design/methodology/approach Algorithms are written for finding key concepts, concept matching and relationship matching. WordNet is used for solving synonym problems during the matching process. The technique is evaluated using the reference alignments between ontologies from ontology alignment evaluation initiative benchmark in terms of degree of similarity, Pearson's correlation coefficient and IR measures precision, recall and F-measure. Findings Positive correlation between the degree of similarity and degree of similarity (reference alignment) and computed values of precision, recall and F-measure showed that if only key concepts of ontologies are compared, a time and search space efficient ontology matching system can be developed. Originality/value On the basis of the present novel approach for ontology matching, it is concluded that using key concepts for ontology matching gives comparable results in reduced time and space.
- Date
- 20. 1.2015 18:30:22
- Source
- Aslib journal of information management. 68(2016) no.1, S.99-111
-
Boteram, F.; Hubrich, J.: Specifying intersystem relations : requirements, strategies, and issues (2010)
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- Date
- 22. 7.2010 17:11:51
- Source
- Knowledge organization. 37(2010) no.3, S.216-222
-
Wan, X.; Liu, F.: Are all literature citations equally important? : automatic citation strength estimation and its applications (2014)
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- Date
- 22. 8.2014 17:12:35
- Source
- Journal of the Association for Information Science and Technology. 65(2014) no.9, S.1929-1938
-
Kronegger, L.; Mali, F.; Ferligoj, A.; Doreian, P.: Classifying scientific disciplines in Slovenia : a study of the evolution of collaboration structures (2015)
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- Date
- 21. 1.2015 14:55:22
- Source
- Journal of the Association for Information Science and Technology. 66(2015) no.2, S.321-339
-
Wei, J.; Wang, F.; Lindell, M.K.: ¬The evolution of stakeholders' perceptions of disaster : a model of information flow (2016)
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- Date
- 22. 1.2016 14:16:13
- Source
- Journal of the Association for Information Science and Technology. 67(2016) no.2, S.441-453
-
Didegah, F.; Thelwall, M.: Co-saved, co-tweeted, and co-cited networks (2018)
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- Date
- 28. 7.2018 10:00:22
- Source
- Journal of the Association for Information Science and Technology. 69(2018) no.8, S.959-973
-
Monchaux, S.; Amadieu, F.; Chevalier, A.; Mariné, C.: Query strategies during information searching : effects of prior domain knowledge and complexity of the information problems to be solved (2015)
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- Date
- 25. 1.2016 18:46:22
- Source
- Information processing and management. 51(2015) no.5, S.557-569
-
Ménard, E.; Khashman, N.; Kochkina, S.; Torres-Moreno, J.-M.; Velazquez-Morales, P.; Zhou, F.; Jourlin, P.; Rawat, P.; Peinl, P.; Linhares Pontes, E.; Brunetti., I.: ¬A second life for TIIARA : from bilingual to multilingual! (2016)
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- Source
- Knowledge organization. 43(2016) no.1, S.22-34
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Chianese, A.; Cantone, F.; Caropreso, M.; Moscato, V.: ARCHAEOLOGY 2.0 : Cultural E-Learning tools and distributed repositories supported by SEMANTICA, a System for Learning Object Retrieval and Adaptive Courseware Generation for e-learning environments. (2010)
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- Pages
- S.171-178
- Source
- Wissensspeicher in digitalen Räumen: Nachhaltigkeit - Verfügbarkeit - semantische Interoperabilität. Proceedings der 11. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Konstanz, 20. bis 22. Februar 2008. Hrsg.: J. Sieglerschmidt u. H.P.Ohly
