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IKARUS-Onto: a methodology to develop fuzzy ontologies from crisp ones., , , and . Knowl. Inf. Syst., 32 (3): 667-695 (2012)Scenario-Driven Selection and Exploitation of Semantic Data for Optimal Named Entity Disambiguation., , and . SWAIE, volume 925 of CEUR Workshop Proceedings, page 55-66. CEUR-WS.org, (2012)Towards Vagueness-Oriented Quality Assessment of Ontologies., and . SETN, volume 8445 of Lecture Notes in Computer Science, page 448-453. Springer, (2014)Modeling, Measuring and Exploiting Concept Drift in the Labour Market Domain., and . SEMANTiCS (Workshops), volume 2063 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Exploiting ontological relations for automatic semantic tag recommendation., , , and . I-SEMANTICS, page 105-110. ACM, (2011)Answer Type Identification for Question Answering - Supervised Learning of Dependency Graph Patterns from Natural Language Questions., , , , , and . JIST, volume 9544 of Lecture Notes in Computer Science, page 235-251. Springer, (2015)Supporting User Roles in Ontology Fuzzification., , , and . SMAP, page 57-61. IEEE Computer Society, (2011)Facilitating Dialogue - Using Semantic Web Technology for eParticipation., , , , , and . ESWC (1), volume 6088 of Lecture Notes in Computer Science, page 258-272. Springer, (2010)Towards Learning Personalized Semantic Relevance Paths in Dialogue Systems., and . SMAP, page 61-66. IEEE, (2013)A Metaontology for Annotating Ontology Entities with Vagueness Descriptions., , , , and . URSW (LNCS Vol.), volume 8816 of Lecture Notes in Computer Science, page 100-121. Springer, (2014)