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Prediger, S.: Kontextuelle Urteilslogik mit Begriffsgraphen : Ein Beitrag zur Restrukturierung der mathematischen Logik (1998)
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- BK
- 31.10 / Mathematische Logik / Mengenlehre
- Classification
- 31.10 / Mathematische Logik / Mengenlehre
- Date
- 27. 2.1999 16:23:24
26. 2.2008 15:58:22
- RSWK
- Mathematische Logik
- Subject
- Mathematische Logik
-
Scheich, P.; Skorsky, M.; Vogt, F.; Wachter, C.; Wille, R.: Conceptual data systems (1992)
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- Imprint
- Darmstadt : Technische Hochschule / Fb Mathematik
-
Wachter, C.; Wille, R.: Formale Begriffsanalyse von Literaturdaten (1992)
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- Imprint
- Darmstadt : Technische Hochschule / Fb Mathematik
-
Viehmann, V.: Formale Begriffsanalyse in der bibliothekarischen Sacherschließung (1996)
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- Imprint
- Darmstadt : Technische Hochschule / Fachbereich Mathematik
-
Kollewe, W.; Sander, C.; Schmiede, R.; Wille, R.: TOSCANA als Instrument der bibliothekarischen Sacherschließung (1995)
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- Imprint
- Darmstadt : TH, Fb Mathematik
-
Wille, R.: Concept lattices and conceptual knowledge systems (1992)
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- Source
- Computers and mathematics with applications. 23(1992), S.493-515
-
Strack, H.; Skorsky, M.: Zugriffskontrolle bei Programmsystemen und im Datenschutz mittels Formaler Begriffsanalyse (2000)
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- Date
- 29.11.1999 16:15:23
-
Großkopf, A.; Harras, G.: Begriffliche Erkundung semantischer Strukturen von Sprechaktverben (2000)
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- Date
- 29.11.1999 16:23:21
-
Priss, U.; Old, L.J.: Concept neighbourhoods in knowledge organisation systems (2010)
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- Source
- Paradigms and conceptual systems in knowledge organization: Proceedings of the Eleventh International ISKO Conference, 23-26 February 2010 Rome, Italy. Edited by Claudio Gnoli and Fulvio Mazzocchi
-
Ganter, B.; Wille, R.: Formale Begriffsanalyse : Mathematische Grundlagen (1996)
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-
Pollandt, S.: Fuzzy-Begriffe : Formale Begriffsanalyse unscharfer Daten (1997)
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- Abstract
- Ausgehend von der Theorie der Fuzzy-Mengen und Fuzzy-Logik werden neue Methoden zur Analyse unscharfer Daten entwickelt. Dazu wird die Theorie der Formalen Begriffsanalyse in einer Reihe von Methoden und Verfahren erweitert und somit der Forderung von Anwendern nach Möglichkeiten zur begriffsanalytischen Erfassung unscharfer Daten Rechnung getragen. Die benötigten theoretischen Grundlagen werden einführend bereitgestellt, die mathematische Darstellung wird an leicht nachvollziehbaren praktischen Beispielen veranschaulicht
-
Negm, E.; AbdelRahman, S.; Bahgat, R.: PREFCA: a portal retrieval engine based on formal concept analysis (2017)
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- Abstract
- The web is a network of linked sites whereby each site either forms a physical portal or a standalone page. In the former case, the portal presents an access point to its embedded web pages that coherently present a specific topic. In the latter case, there are millions of standalone web pages, that are scattered throughout the web, having the same topic and could be conceptually linked together to form virtual portals. Search engines have been developed to help users in reaching the adequate pages in an efficient and effective manner. All the known current search engine techniques rely on the web page as the basic atomic search unit. They ignore the conceptual links, that reveal the implicit web related meanings, among the retrieved pages. However, building a semantic model for the whole portal may contain more semantic information than a model of scattered individual pages. In addition, user queries can be poor and contain imprecise terms that do not reflect the real user intention. Consequently, retrieving the standalone individual pages that are directly related to the query may not satisfy the user's need. In this paper, we propose PREFCA, a Portal Retrieval Engine based on Formal Concept Analysis that relies on the portal as the main search unit. PREFCA consists of three phases: First, the information extraction phase that is concerned with extracting portal's semantic data. Second, the formal concept analysis phase that utilizes formal concept analysis to discover the conceptual links among portal and attributes. Finally, the information retrieval phase where we propose a portal ranking method to retrieve ranked pairs of portals and embedded pages. Additionally, we apply the network analysis rules to output some portal characteristics. We evaluated PREFCA using two data sets, namely the Forum for Information Retrieval Evaluation 2010 and ClueWeb09 (category B) test data, for physical and virtual portals respectively. PREFCA proves higher F-measure accuracy, better Mean Average Precision ranking and comparable network analysis and efficiency results than other search engine approaches, namely Term Frequency Inverse Document Frequency (TF-IDF), Latent Semantic Analysis (LSA), and BM25 techniques. As well, it gains high Mean Average Precision in comparison with learning to rank techniques. Moreover, PREFCA also gains better reach time than Carrot as a well-known topic-based search engine.
- Date
- 23. 1.2017 14:06:53
-
Sander, C.; Schmiede, R.; Wille, R.: ¬Ein begriffliches Datensystem zur Literatur der interdisziplinären Technikforschung (1993)
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- Abstract
- Begriffliche Datensysteme sind im Rahmen der Formalen Begriffsanalyse entstanden und gründen sich auf mathematische Formalisierungen von Begriff, Begriffssystem und Begriffliche Datei. Sie machen Wissen, das in einer Datenbasis vorliegt, begrifflich zugänglich und interpretierbar. Hierfür werden begriffliche Zusammenhänge entsprechend gewählter Frageaspekte in gestuften Liniendiagrammen dargestellt. Durch Verfeinern, Vergröbern und Wechseln von Begriffstrukturen kann man unbegrenzt durch das in der Datenbasis gespeicherte Wissen "navigieren". In einem Forschungsprojekt, gefördert vom Zentrum für interdisziplinäre Technikforschung an der TH Darmstadt, ist ein Prototyp eines begrifflichen Datensystems erstellt worden, dem als Datenkontext eine ausgewählte, begrifflich aufgearbeitete Menge von Büchern zur interdisziplinären Technikforschung zugrunde liegt. Mit diesem Prototyp soll die flexible und variable Verwendung begrifflicher datensysteme im Literaturbereich demonstriert werden
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Wille, R.: Begriffliche Wissensverarbeitung in der Wirtschaft (2002)
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- Abstract
- Begriffliche Wissensverarbeitung ist einem pragmatischen Wissensverständnis verpflichtet, nach dem menschliches Wissen in einem offenen Prozess menschlichen Denkens, Argumentierens und Kommunizierens entsteht und weiterlebt. Sie gründet sich auf eine mathematische Begriffstheorie, die auf das wechselseitige Zusammenwirken von Formalem und Inhaltlichem ausgerichtet ist. Wie diese theoretische Konzeption in der wirtschaftlichen Praxis zur Wirkung kommt wird erläutert anhand der Kernprozesse des organisationalen Wissensmanagements, d.h. nach G. Probst et al. anhand von Wissensidentifikation, Wissenserwerb, Wissensentwicklung, Wissens(ver)teilung, Wissensnutzung und Wissensbewahrung; jeweils an einem Beispiel wird der Einsatz spezifischer Methoden der Begrifflichen Wissensverarbeitung demonstriert. Abschließend wird auf den prozesshaften Wirkungszusammenhang von Wissenszielen und Wissensbewertungen mit den Kernprozessen aus Sicht der Begrifflichen Wissensverarbeitung eingegangen.
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Kaytoue, M.; Kuznetsov, S.O.; Assaghir, Z.; Napoli, A.: Embedding tolerance relations in concept lattices : an application in information fusion (2010)
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- Pages
- 23 S
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Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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- Source
- Knowledge organization. 22(1995) no.2, S.78-81
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Ganter, B.; Wille, R.: Conceptual scaling (1989)
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- Source
- Applications of combinatorics and graph theory to the biological and social sciences. Ed.: F. Roberts
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Vogt, F.; Wachter, C.; Wille, R.: Data analysis based on a conceptual file (1991)
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-
Vogt, F.; Wille, R.: TOSCANA - a graphical tool for analyzing and exploring data (1995)
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Kollewe, W.; Skorsky, M.; Vogt, F.; Wille, R.: TOSCANA - ein Werkzeug zur begrifflichen Analyse und Erkundung von Daten (1994)
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