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Applying Vector Space Models to Ontology Link Type Suggestion

, , , , , и . 4th International Conference on Innovations in Information Technology, стр. 566--570. Dubai, United Arab Emirates, (2007)

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Anja Weichselbraun

Albert Kamanyi

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Cross-Domain Contextualisation of Sentiment Lexicons, , и . 19th European Conference on Artificial Intelligence (ECAI), том 215 из Frontiers in Artificial Intelligence and Applications, стр. 771--776. Lisbon, Portugal, IOS Press, (августа 2010)Evidence Sources, Methods and Use Cases for Learning Lightweight Domain Ontologies, , и . Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances, IGI Global, (2011)Applying Vector Space Models to Ontology Link Type Suggestion, , , , , и . 4th International Conference on Innovations in Information Technology, стр. 566-570. Dubai, United Arab Emirates, (ноября 2007)Ontology Learning based on Text Mining and Social Evidence Sources. (9 February 2011)University of Western Australia, School of Computer Science and Software Engineering, Perth, Australia.Extracting and Grounding Contextualized Sentiment Lexicons., , и . IEEE Intelligent Systems, 28 (2): 39-46 (2013)Rule-based opinion target and aspect extraction to acquire affective knowledge., , и . WWW (Companion Volume), стр. 557-564. International World Wide Web Conferences Steering Committee / ACM, (2013)Mitigating linked data quality issues in knowledge-intense information extraction methods., и . WIMS, стр. 17:1-17:12. ACM, (2017)A Regional News Corpora for Contextualized Entity Discovery and Linking., , , и . LREC, European Language Resources Association (ELRA), (2016)Web Content Mining for Comparing Corporate and Third-Party Online Reporting: A Case Study on Solid Waste Management, , и . Business Strategy and the Environment, 15 (x): In Press (2006)Enriching semantic knowledge bases for opinion mining in big data applications., , и . Knowl. Based Syst., (2014)