Search (559 results, page 1 of 28)

  • × theme_ss:"Wissensrepräsentation"
  1. Roth, G.; Schwegler, H.: Kognitive Referenz und Selbstreferentialität des Gehirns : ein Beitrag zur Klärung des Verhältnisses zwischen Erkenntnistheorie und Hirnforschung (1992) 0.07
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    Date
    20.12.2018 12:39:29
    Footnote
    Stellungnahmen dazu von H. Tetens, M. Boenke u. L. Läsker
    Type
    a
  2. Knorz, G.; Rein, B.: Semantische Suche in einer Hochschulontologie (2005) 0.04
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    Date
    11. 2.2011 18:22:58
    Source
    Information - Wissenschaft und Praxis. 56(2005) H.5/6, S.281-290
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  3. Boteram, F.: Semantische Relationen in Dokumentationssprachen : vom Thesaurus zum semantischen Netz (2010) 0.04
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    Date
    2. 3.2013 12:29:05
    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
    Type
    a
  4. Järvelin, K.; Kristensen, J.; Niemi, T.; Sormunen, E.; Keskustalo, H.: ¬A deductive data model for query expansion (1996) 0.04
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    Abstract
    We present a deductive data model for concept-based query expansion. It is based on three abstraction levels: the conceptual, linguistic and occurrence levels. Concepts and relationships among them are represented at the conceptual level. The expression level represents natural language expressions for concepts. Each expression has one or more matching models at the occurrence level. Each model specifies the matching of the expression in database indices built in varying ways. The data model supports a concept-based query expansion and formulation tool, the ExpansionTool, for environments providing heterogeneous IR systems. Expansion is controlled by adjustable matching reliability.
    Source
    Proceedings of the 19th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (ACM SIGIR '96), Zürich, Switzerland, August 18-22, 1996. Eds.: H.P. Frei et al
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  5. Nielsen, M.: Neuronale Netze : Alpha Go - Computer lernen Intuition (2018) 0.03
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    Content
    Vgl. auch den Beitrag: Sokol, J.: Spielend lernen. In: Spektrum der Wissenschaft. 2018, H.11, S.72-76.
    Source
    Spektrum der Wissenschaft. 2018, H.1, S.22-27
    Type
    a
  6. Vallet, D.; Fernández, M.; Castells, P.: ¬An ontology-based information retrieval model (2005) 0.03
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    Abstract
    Semantic search has been one of the motivations of the Semantic Web since it was envisioned. We propose a model for the exploitation of ontologybased KBs to improve search over large document repositories. Our approach includes an ontology-based scheme for the semi-automatic annotation of documents, and a retrieval system. The retrieval model is based on an adaptation of the classic vector-space model, including an annotation weighting algorithm, and a ranking algorithm. Semantic search is combined with keyword-based search to achieve tolerance to KB incompleteness. Our proposal is illustrated with sample experiments showing improvements with respect to keyword-based search, and providing ground for further research and discussion.
    Source
    The Semantic Web: research and applications ; second European Semantic WebConference, ESWC 2005, Heraklion, Crete, Greece, May 29 - June 1, 2005 ; proceedings. Eds.: A. Gómez-Pérez u. J. Euzenat
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  7. Spree, U.; Lindenthal, J.; Knaack, A.: Wortnetz Kultur : ein Thesaurusprojekt zur kollaborativen Erschließung von Fachinformationen des kulturellen Erbes (2012) 0.03
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    Source
    Information - Wissenschaft und Praxis. 63(2012) H.1, S.23-36
    Type
    a
  8. Hoppe, T.: Semantische Filterung : ein Werkzeug zur Steigerung der Effizienz im Wissensmanagement (2013) 0.03
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    Date
    29. 9.2015 18:56:44
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  9. Priss, U.: Faceted information representation (2000) 0.02
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    Abstract
    This paper presents an abstract formalization of the notion of "facets". Facets are relational structures of units, relations and other facets selected for a certain purpose. Facets can be used to structure large knowledge representation systems into a hierarchical arrangement of consistent and independent subsystems (facets) that facilitate flexibility and combinations of different viewpoints or aspects. This paper describes the basic notions, facet characteristics and construction mechanisms. It then explicates the theory in an example of a faceted information retrieval system (FaIR)
    Date
    22. 1.2016 17:47:06
    Type
    a
  10. Priss, U.: Faceted knowledge representation (1999) 0.02
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    Abstract
    Faceted Knowledge Representation provides a formalism for implementing knowledge systems. The basic notions of faceted knowledge representation are "unit", "relation", "facet" and "interpretation". Units are atomic elements and can be abstract elements or refer to external objects in an application. Relations are sequences or matrices of 0 and 1's (binary matrices). Facets are relational structures that combine units and relations. Each facet represents an aspect or viewpoint of a knowledge system. Interpretations are mappings that can be used to translate between different representations. This paper introduces the basic notions of faceted knowledge representation. The formalism is applied here to an abstract modeling of a faceted thesaurus as used in information retrieval.
    Date
    22. 1.2016 17:30:31
    Type
    a
  11. Atanassova, I.; Bertin, M.: Semantic facets for scientific information retrieval (2014) 0.02
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    Abstract
    We present an Information Retrieval System for scientific publications that provides the possibility to filter results according to semantic facets. We use sentence-level semantic annotations that identify specific semantic relations in texts, such as methods, definitions, hypotheses, that correspond to common information needs related to scientific literature. The semantic annotations are obtained using a rule-based method that identifies linguistic clues organized into a linguistic ontology. The system is implemented using Solr Search Server and offers efficient search and navigation in scientific papers.
    Source
    Semantic Web Evaluation Challenge. SemWebEval 2014 at ESWC 2014, Anissaras, Crete, Greece, May 25-29, 2014, Revised Selected Papers. Eds.: V. Presutti et al
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  12. Wang, Y.-H.; Jhuo, P.-S.: ¬A semantic faceted search with rule-based inference (2009) 0.02
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    Abstract
    Semantic Search has become an active research of Semantic Web in recent years. The classification methodology plays a pretty critical role in the beginning of search process to disambiguate irrelevant information. However, the applications related to Folksonomy suffer from many obstacles. This study attempts to eliminate the problems resulted from Folksonomy using existing semantic technology. We also focus on how to effectively integrate heterogeneous ontologies over the Internet to acquire the integrity of domain knowledge. A faceted logic layer is abstracted in order to strengthen category framework and organize existing available ontologies according to a series of steps based on the methodology of faceted classification and ontology construction. The result showed that our approach can facilitate the integration of inconsistent or even heterogeneous ontologies. This paper also generalizes the principles of picking appropriate facets with which our facet browser completely complies so that better semantic search result can be obtained.
    Theme
    Semantisches Umfeld in Indexierung u. Retrieval
    Type
    a
  13. Clark, M.; Kim, Y.; Kruschwitz, U.; Song, D.; Albakour, D.; Dignum, S.; Beresi, U.C.; Fasli, M.; Roeck, A De: Automatically structuring domain knowledge from text : an overview of current research (2012) 0.02
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    Abstract
    This paper presents an overview of automatic methods for building domain knowledge structures (domain models) from text collections. Applications of domain models have a long history within knowledge engineering and artificial intelligence. In the last couple of decades they have surfaced noticeably as a useful tool within natural language processing, information retrieval and semantic web technology. Inspired by the ubiquitous propagation of domain model structures that are emerging in several research disciplines, we give an overview of the current research landscape and some techniques and approaches. We will also discuss trade-offs between different approaches and point to some recent trends.
    Date
    29. 1.2016 18:29:51
    Type
    a
  14. Priss, U.: Description logic and faceted knowledge representation (1999) 0.02
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    Abstract
    The term "facet" was introduced into the field of library classification systems by Ranganathan in the 1930's [Ranganathan, 1962]. A facet is a viewpoint or aspect. In contrast to traditional classification systems, faceted systems are modular in that a domain is analyzed in terms of baseline facets which are then synthesized. In this paper, the term "facet" is used in a broader meaning. Facets can describe different aspects on the same level of abstraction or the same aspect on different levels of abstraction. The notion of facets is related to database views, multicontexts and conceptual scaling in formal concept analysis [Ganter and Wille, 1999], polymorphism in object-oriented design, aspect-oriented programming, views and contexts in description logic and semantic networks. This paper presents a definition of facets in terms of faceted knowledge representation that incorporates the traditional narrower notion of facets and potentially facilitates translation between different knowledge representation formalisms. A goal of this approach is a modular, machine-aided knowledge base design mechanism. A possible application is faceted thesaurus construction for information retrieval and data mining. Reasoning complexity depends on the size of the modules (facets). A more general analysis of complexity will be left for future research.
    Date
    22. 1.2016 17:30:31
    Type
    a
  15. Peters, I.; Stock, W.G.: Folksonomies in Wissensrepräsentation und Information Retrieval (2008) 0.02
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    Abstract
    Die populären Web 2.0-Dienste werden von Prosumern - Produzenten und gleichsam Konsumenten - nicht nur dazu genutzt, Inhalte zu produzieren, sondern auch, um sie inhaltlich zu erschließen. Folksonomies erlauben es dem Nutzer, Dokumente mit eigenen Schlagworten, sog. Tags, zu beschreiben, ohne dabei auf gewisse Regeln oder Vorgaben achten zu müssen. Neben einigen Vorteilen zeigen Folksonomies aber auch zahlreiche Schwächen (u. a. einen Mangel an Präzision). Um diesen Nachteilen größtenteils entgegenzuwirken, schlagen wir eine Interpretation der Tags als natürlichsprachige Wörter vor. Dadurch ist es uns möglich, Methoden des Natural Language Processing (NLP) auf die Tags anzuwenden und so linguistische Probleme der Tags zu beseitigen. Darüber hinaus diskutieren wir Ansätze und weitere Vorschläge (Tagverteilungen, Kollaboration und akteurspezifische Aspekte) hinsichtlich eines Relevance Rankings von getaggten Dokumenten. Neben Vorschlägen auf ähnliche Dokumente ("more like this!") erlauben Folksonomies auch Hinweise auf verwandte Nutzer und damit auf Communities ("more like me!").
    Source
    Information - Wissenschaft und Praxis. 59(2008) H.2, S.77-90
    Type
    a
  16. Andreas, H.: On frames and theory-elements of structuralism (2014) 0.02
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    Abstract
    There are quite a few success stories illustrating philosophy's relevance to information science. One can cite, for example, Leibniz's work on a characteristica universalis and a corresponding calculus ratiocinator through which he aspired to reduce reasoning to calculating. It goes without saying that formal logic initiated research on decidability and computational complexity. But even beyond the realm of formal logic, philosophy has served as a source of inspiration for developments in information and computer science. At the end of the twentieth century, formal ontology emerged from a quest for a semantic foundation of information systems having a higher reusability than systems being available at the time. A success story that is less well documented is the advent of frame systems in computer science. Minsky is credited with having laid out the foundational ideas of such systems. There, the logic programming approach to knowledge representation is criticized by arguing that one should be more careful about the way human beings recognize objects and situations. Notably, the paper draws heavily on the writings of Kuhn and the Gestalt-theorists. It is not our intent, however, to document the traces of the frame idea in the works of philosophers. What follows is, rather, an exposition of a methodology for representing scientific knowledge that is essentially frame-like. This methodology is labelled as structuralist theory of science or, in short, as structuralism. The frame-like character of its basic meta-theoretical concepts makes structuralism likely to be useful in knowledge representation.
    Source
    Philosophy, computing and information science. Eds.: R. Hagengruber u. U.V. Riss
    Type
    a
  17. Beppler, F.D.; Fonseca, F.T.; Pacheco, R.C.S.: Hermeneus: an architecture for an ontology-enabled information retrieval (2008) 0.02
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    Abstract
    Ontologies improve IR systems regarding its retrieval and presentation of information, which make the task of finding information more effective, efficient, and interactive. In this paper we argue that ontologies also greatly improve the engineering of such systems. We created a framework that uses ontology to drive the process of engineering an IR system. We developed a prototype that shows how a domain specialist without knowledge in the IR field can build an IR system with interactive components. The resulting system provides support for users not only to find their information needs but also to extend their state of knowledge. This way, our approach to ontology-enabled information retrieval addresses both the engineering aspect described here and also the usability aspect described elsewhere.
    Date
    28.11.2016 12:43:22
    Source
    http://www.personal.psu.edu/faculty/f/u/fuf1/hermeneus/Hermeneus_architecture.pdf
    Type
    a
  18. Wirklichkeit und Wissen : Realismus, Antirealismus und Wirklichkeits-Konzeptionen in Philosophie und Wissenschaften (1992) 0.02
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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
  19. Almeida Campos, M.L. de; Espanha Gomes, H.: Ontology : several theories on the representation of knowledge domains (2017) 0.02
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    Abstract
    Ontologies may be considered knowledge organization systems since the elements interact in a consistent conceptual structure. Theories of the representation of knowledge domains produce models that include definition, representation units, and semantic relationships that are essential for structuring such domain models. A realist viewpoint is proposed to enhance domain ontologies, as definitions provide structure that reveals not only ontological commitment but also relationships between unit representations.
    Date
    6. 5.2017 19:29:28
    Type
    a
  20. Helbig, H.: Knowledge representation and the semantics of natural language (2014) 0.02
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    Abstract
    Natural Language is not only the most important means of communication between human beings, it is also used over historical periods for the preservation of cultural achievements and their transmission from one generation to the other. During the last few decades, the flod of digitalized information has been growing tremendously. This tendency will continue with the globalisation of information societies and with the growing importance of national and international computer networks. This is one reason why the theoretical understanding and the automated treatment of communication processes based on natural language have such a decisive social and economic impact. In this context, the semantic representation of knowledge originally formulated in natural language plays a central part, because it connects all components of natural language processing systems, be they the automatic understanding of natural language (analysis), the rational reasoning over knowledge bases, or the generation of natural language expressions from formal representations. This book presents a method for the semantic representation of natural language expressions (texts, sentences, phrases, etc.) which can be used as a universal knowledge representation paradigm in the human sciences, like linguistics, cognitive psychology, or philosophy of language, as well as in computational linguistics and in artificial intelligence. It is also an attempt to close the gap between these disciplines, which to a large extent are still working separately.
    Footnote
    Vgl. auch die anderen Ausgabe in dt. u. engl. Sprache

Years

Languages

  • e 443
  • d 100
  • pt 5
  • el 1
  • f 1
  • sp 1
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Types

  • a 419
  • el 148
  • m 32
  • x 22
  • n 13
  • s 13
  • p 5
  • r 5
  • A 1
  • EL 1
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Subjects

Classifications