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Balakrishnan, U,; Soergel, D.; Helfer, O.: Representing concepts through description logic expressions for knowledge organization system (KOS) mapping (2020)
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-
Dobrev, P.; Kalaydjiev, O.; Angelova, G.: From conceptual structures to semantic interoperability of content (2007)
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- Source
- Conceptual structures: knowledge architectures for smart applications: 15th International Conference on Conceptual Structures, ICCS 2007, Sheffield, UK, July 22 - 27, 2007 ; proceedings. Eds.: U. Priss u.a
-
Bringsjord, S.; Clark, M.; Taylor, J.: Sophisticated knowledge representation and reasoning requires philosophy (2014)
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- Abstract
- What is knowledge representation and reasoning (KR&R)? Alas, a thorough account would require a book, or at least a dedicated, full-length paper, but here we shall have to make do with something simpler. Since most readers are likely to have an intuitive grasp of the essence of KR&R, our simple account should suffice. The interesting thing is that this simple account itself makes reference to some of the foundational distinctions in the field of philosophy. These distinctions also play a central role in artificial intelligence (AI) and computer science. To begin with, the first distinction in KR&R is that we identify knowledge with knowledge that such-and-such holds (possibly to a degree), rather than knowing how. If you ask an expert tennis player how he manages to serve a ball at 130 miles per hour on his first serve, and then serve a safer, topspin serve on his second should the first be out, you may well receive a confession that, if truth be told, this athlete can't really tell you. He just does it; he does something he has been doing since his youth. Yet, there is no denying that he knows how to serve. In contrast, the knowledge in KR&R must be expressible in declarative statements. For example, our tennis player knows that if his first serve lands outside the service box, it's not in play. He thus knows a proposition, conditional in form.
- Date
- 9. 2.2017 19:22:14
- Source
- Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
-
Weller, K.: Ontologien (2013)
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- Source
- Grundlagen der praktischen Information und Dokumentation. Handbuch zur Einführung in die Informationswissenschaft und -praxis. 6., völlig neu gefaßte Ausgabe. Hrsg. von R. Kuhlen, W. Semar u. D. Strauch. Begründet von Klaus Laisiepen, Ernst Lutterbeck, Karl-Heinrich Meyer-Uhlenried
-
Ferrández, O.; Izquierdo, R.; Ferrández, S.; Vicedo González, J.L.: Addressing ontology-based question answering with collections of user queries (2009)
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-
Calegari, S.; Sanchez, E.: Object-fuzzy concept network : an enrichment of ontologies in semantic information retrieval (2008)
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- Abstract
- This article shows how a fuzzy ontology-based approach can improve semantic documents retrieval. After formally defining a fuzzy ontology and a fuzzy knowledge base, a special type of new fuzzy relationship called (semantic) correlation, which links the concepts or entities in a fuzzy ontology, is discussed. These correlations, first assigned by experts, are updated after querying or when a document has been inserted into a database. Moreover, in order to define a dynamic knowledge of a domain adapting itself to the context, it is shown how to handle a tradeoff between the correct definition of an object, taken in the ontology structure, and the actual meaning assigned by individuals. The notion of a fuzzy concept network is extended, incorporating database objects so that entities and documents can similarly be represented in the network. Information retrieval (IR) algorithm, using an object-fuzzy concept network (O-FCN), is introduced and described. This algorithm allows us to derive a unique path among the entities involved in the query to obtain maxima semantic associations in the knowledge domain. Finally, the study has been validated by querying a database using fuzzy recall, fuzzy precision, and coefficient variant measures in the crisp and fuzzy cases.
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Drewer, P.; Massion, F; Pulitano, D: Was haben Wissensmodellierung, Wissensstrukturierung, künstliche Intelligenz und Terminologie miteinander zu tun? (2017)
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- Date
- 13.12.2017 14:17:22
- Type
- r
-
Harbig, D.; Schneider, R.: Ontology Learning im Rahmen von MyShelf (2006)
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- Source
- Effektive Information Retrieval Verfahren in Theorie und Praxis: ausgewählte und erweiterte Beiträge des Vierten Hildesheimer Evaluierungs- und Retrievalworkshop (HIER 2005), Hildesheim, 20.7.2005. Hrsg.: T. Mandl u. C. Womser-Hacker
-
Green, R.: See-also relationships in the Dewey Decimal Classification (2011)
0.03
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
OWL Web Ontology Language Test Cases (2004)
0.02
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- Date
- 14. 8.2011 13:33:22
- Editor
- Carroll, J.J. u. J. de Roo
-
Green, R.: Semantic types, classes, and instantiation (2006)
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- Source
- Knowledge organization for a global learning society: Proceedings of the 9th International ISKO Conference, 4-7 July 2006, Vienna, Austria. Hrsg.: G. Budin, C. Swertz u. K. Mitgutsch
-
Schmitz-Esser, W.: Formalizing terminology-based knowledge for an ontology independently of a particular language (2008)
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- Abstract
- Last word ontological thought and practice is exemplified on an axiomatic framework [a model for an Integrative Cross-Language Ontology (ICLO), cf. Poli, R., Schmitz-Esser, W., forthcoming 2007] that is highly general, based on natural language, multilingual, can be implemented as topic maps and may be openly enhanced by software available for particular languages. Basics of ontological modelling, conditions for construction and maintenance, and the most salient points in application are addressed, such as cross-language text mining and knowledge generation. The rationale is to open the eyes for the tremendous potential of terminology-based ontologies for principled Knowledge Organization and the interchange and reuse of formalized knowledge.
- Source
- Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
-
Poli, R.: Upper ontologies hold it together (2008)
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- Source
- Kompatibilität, Medien und Ethik in der Wissensorganisation - Compatibility, Media and Ethics in Knowledge Organization: Proceedings der 10. Tagung der Deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation Wien, 3.-5. Juli 2006 - Proceedings of the 10th Conference of the German Section of the International Society of Knowledge Organization Vienna, 3-5 July 2006. Ed.: H.P. Ohly, S. Netscher u. K. Mitgutsch
-
Davies, J.; Weeks, R.; Krohn, U.: QuizRDF: search technology for the Semantic Web (2004)
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-
Prieto-Díaz, R.: ¬A faceted approach to building ontologies (2002)
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- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Wirklichkeit und Wissen : Realismus, Antirealismus und Wirklichkeits-Konzeptionen in Philosophie und Wissenschaften (1992)
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- Content
- Enthält die Beiträge: KUTSCHERA, F. von: Der erkenntnistheoretische Realismus; FRANZEN, W.: Idealismus statt Realismus? Realismus plus Skeptizismus!; KREISER, L.: Bruno Bauchs idealistischer Realismus. Votum im Anschluß an Winfried Franzen; DIEDERICH, W.: Probleme und Grenzen des Anti-Realismus; RHEINWALD, R.: Der Schluß auf die beste Erklärung und das Induktionsproblem. Votum zu Werner Diederich; BÜHLER, A.: Antirealismus und Verifikationismus; RHEINWALD, R.: Bemerkungen zu einem bedeutungstheoretischen Argument gegen den Realismus. Votum zu Axel Bühler; ERPENBECK, J.: Psychologie: Gratwanderung zwischen Realismus und Konstruktivismus; ROTH, G. u. H. SCHWEGLER: Kognitive Referenz und Selbstreferentialität des Gehirns. Ein Beitrag zur Klärung des Verhältnisses zwischen Erkenntnistheorie und Hirnforschung; Voten dazu von: H. TETENS, M. BOENKE u. L. LÄSKER; WILDGEN, W.: Semantischer Realismus und Antirealismus in der Sprachtheorie; BECKERMANN, A.: Wie real sind intentionale Zustände? Dennett zwischen Fodor und den Churchlands; ENGEL, P.: Teleosemantics: realistic or anti-realistic? Votum; HOLENSTEIN, E.: Ein Grund, kein Epiphänomenalist zu sein. Votum; SANDKÜHLER, H.J.: Epistemologischer Realismus und die Wirklichkeit des Wissens. Eine Verteidigung des Philosophie des Geistes gegen Naturalismus und Reduktionismus; PÄTZOLD, D.: Intellectus effabilis. Votum zu Hans Jörg Sandkühler; METSCHER, T.: 'Episteme': Wissen als anthropologisches Datum. Grundsätze einer elementaren Epistemologie. Votum zu Hans Jörg Sandkühler; PASTERNACK, G.: Realismus vs Antirealismus. Ein wissenschaftsphilosophisches Explikationsproblem. Votum
-
Priss, U.: Faceted information representation (2000)
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- Date
- 22. 1.2016 17:47:06
-
Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005)
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- Date
- 11. 2.2011 18:22:58
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie : Ontologie-basiertes Information-Filtering und -Retrieval mit relationalen Datenbanken (2005)
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- Date
- 11. 2.2011 18:22:25
- Theme
- Semantisches Umfeld in Indexierung u. Retrieval
-
Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010)
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- 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
