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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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- Content
- Vgl.: https%3A%2F%2Faclanthology.org%2FD19-5317.pdf&usg=AOvVaw0ZZFyq5wWTtNTvNkrvjlGA.
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Xiong, C.: Knowledge based text representations for information retrieval (2016)
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- Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Language and Information Technologies. Vgl.: https%3A%2F%2Fwww.cs.cmu.edu%2F~cx%2Fpapers%2Fknowledge_based_text_representation.pdf&usg=AOvVaw0SaTSvhWLTh__Uz_HtOtl3.
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Das, S.; Roy, S.: Faceted ontological model for brain tumour study (2016)
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- Date
- 12. 3.2016 13:21:22
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Eito-Brun, R.: Ontologies and the exchange of technical information : building a knowledge repository based on ECSS standards (2014)
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- Date
- 5. 9.2014 10:34:21
- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Börner, K.: Atlas of knowledge : anyone can map (2015)
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- Date
- 22. 1.2017 16:54:03
22. 1.2017 17:10:56
-
Deokattey, S.; Neelameghan, A.; Kumar, V.: ¬A method for developing a domain ontology : a case study for a multidisciplinary subject (2010)
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- Date
- 22. 7.2010 19:41:16
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Madalli, D.P.; Balaji, B.P.; Sarangi, A.K.: Music domain analysis for building faceted ontological representation (2014)
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- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Cumyn, M.; Reiner, G.; Mas, S.; Lesieur, D.: Legal knowledge representation using a faceted scheme (2019)
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- Source
- Proceedings of the Seventeenth International Conference on Artificial Intelligence and Law, ICAIL 2019, Montreal, QC, Canada, June 17-21, 2019 [https://doi.org/10.1145/3322640.3326735]
-
Hollink, L.; Assem, M. van: Estimating the relevance of search results in the Culture-Web : a study of semantic distance measures (2010)
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- Date
- 26.12.2011 13:40:22
-
Gödert, W.; Hubrich, J.; Nagelschmidt, M.: Semantic knowledge representation for information retrieval (2014)
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- Date
- 23. 7.2017 13:49:22
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Prud'hommeaux, E.; Gayo, E.: RDF ventures to boldly meet your most pedestrian needs (2015)
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- Source
- Bulletin of the Association for Information Science and Technology. 41(2015) no.4, S.18-22
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Wenige, L.; Ruhland, J.: Similarity-based knowledge graph queries for recommendation retrieval (2019)
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- Abstract
- Current retrieval and recommendation approaches rely on hard-wired data models. This hinders personalized cus-tomizations to meet information needs of users in a more flexible manner. Therefore, the paper investigates how similarity-basedretrieval strategies can be combined with graph queries to enable users or system providers to explore repositories in the LinkedOpen Data (LOD) cloud more thoroughly. For this purpose, we developed novel content-based recommendation approaches.They rely on concept annotations of Simple Knowledge Organization System (SKOS) vocabularies and a SPARQL-based querylanguage that facilitates advanced and personalized requests for openly available knowledge graphs. We have comprehensivelyevaluated the novel search strategies in several test cases and example application domains (i.e., travel search and multimediaretrieval). The results of the web-based online experiments showed that our approaches increase the recall and diversity of rec-ommendations or at least provide a competitive alternative strategy of resource access when conventional methods do not providehelpful suggestions. The findings may be of use for Linked Data-enabled recommender systems (LDRS) as well as for semanticsearch engines that can consume LOD resources. (PDF) Similarity-based knowledge graph queries for recommendation retrieval. Available from: https://www.researchgate.net/publication/333358714_Similarity-based_knowledge_graph_queries_for_recommendation_retrieval [accessed May 21 2020].
- Date
- 21. 5.2020 10:00:49
-
Green, R.: See-also relationships in the Dewey Decimal Classification (2011)
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- 21. 7.2011 18:58:12
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Wong, W.; Liu, W.; Bennamoun, M.: Ontology learning from text : a look back and into the future (2010)
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- Date
- 21. 9.2011 19:20:43
-
Cui, H.: Competency evaluation of plant character ontologies against domain literature (2010)
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- Date
- 1. 6.2010 9:55:22
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Baião Salgado Silva, G.; Lima, G.Â. Borém de Oliveira: Using topic maps in establishing compatibility of semantically structured hypertext contents (2012)
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- Date
- 22. 2.2013 11:39:23
-
Almeida Campos, M.L. de; Machado Campos, M.L.; Dávila, A.M.R.; Espanha Gomes, H.; Campos, L.M.; Lira e Oliveira, L. de: Information sciences methodological aspects applied to ontology reuse tools : a study based on genomic annotations in the domain of trypanosomatides (2013)
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- Date
- 22. 2.2013 12:03:53
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Mahesh, K.: Highly expressive tagging for knowledge organization in the 21st century (2014)
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- Source
- Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
-
Kiren, T.; Shoaib, M.: ¬A novel ontology matching approach using key concepts (2016)
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- 20. 1.2015 18:30:22
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Conde, A.; Larrañaga, M.; Arruarte, A.; Elorriaga, J.A.; Roth, D.: litewi: a combined term extraction and entity linking method for eliciting educational ontologies from textbooks (2016)
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- Date
- 22. 1.2016 12:38:14