Book Chapter10.1007/10722280_4
Conventions and Notations for Knowledge Representation and Retrieval
Philippe Martin
- 14 Aug 2000
- pp 41-54
TL;DR: This work proposes lexical, structural, semantic and ontological conventions based on various knowledge representation projects and research, and shows that a notation can be both readable and expressive by quickly presenting two new notations.
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Abstract: Much research has focused on the problem of knowledge accessibility, sharing and reuse. Specific languages (e.g. KIF, CG, RDF) and ontologies have been proposed. Common characteristics, conventions or ontological distinctions are beginning to emerge. Since knowledge providers (humans and software agents) must follow common conventions for the knowledge to be widely accessed and re-used, we propose lexical, structural, semantic and ontological conventions based on various knowledge representation projects and our own research. These are minimal conventions that can be followed by most and cover the most common knowledge representation cases. However, agreement and refinements are still required. We also show that a notation can be both readable and expressive by quickly presenting two new notations – Formalized English (FE) and Frame-CG (FCG) – derived from the CG linear form [9] and Frame-Logics [4]. These notations support the above conventions, and are implemented in our Web-based knowledge representation and document indexation tool, WebKB [7].
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Citations
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Knowledge Representation in CGLF, CGIF, KIF, Frame-CG and Formalized-English
Philippe Martin
- 14 Jul 2002
TL;DR: This article shows how CGLF, CGIF, KIF, Formalized-English and Frame-CG can be used in a panorama of knowledge representation cases.
•Dissertation
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Jean-Paul Van Belle
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CGExtract: Towards Extraction of Conceptual Graphs from Controlled English
Svetla Boytcheva,Pavlin Dobrev,Galia Angelova +2 more
- 30 Jun 2001
TL;DR: The CGExtract prototype is described, which approaches the subject by integration of Parasite, an already existing component for NL analysis and Understanding (NLU), and focuses on semantic KB consistency rather than on NL analysis.
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Using XML to represent knowledge by frames
Milko Marinov
- 17 Jun 2004
TL;DR: A generalized XML model of the frame-based representation of knowledge representation using XML is proposed and the implementation of the XML generator, which is built into the interactive tool for frame representation is described.
10
References
•Book
Conceptual Structures: Information Processing in Mind and Machine
John F. Sowa
- 01 Jul 1983
TL;DR: This book will not become a unity of the way for you to get amazing benefits at all, but, it will serve something that will let you get the best time and moment to spend for reading the book.
3.4K
•Dissertation
Exploitation de graphes conceptuels et de documents structurés et hypertextes pour l'acquisition de connaissances et la recherche d'informations
Philippe Martin
- 01 Jan 1996
TL;DR: In this paper, the ontologie comprenant a) des types de relations elementaires usuelles (relations rhetoriques, mereologiques, spatiales, temporelles, mathematiques, etc. ), and b) des concepts generaux that nous avons specialises par les 90. 000 types de concepts de la base generale de connaissances terminologique wordnet.
23
Embedding Knowledge in Web Documents: CGs versus XML-based Metadata Languages
Philippe Martin,Peter W. Eklund +1 more
- 12 Jul 1999
TL;DR: The paper argues for the use of general and intuitive knowledge representation lajiguages for indexing the content of Web documents and representing knowledge within them, and proposes techniques allowing users to leave some knowledge terms undeclared.
17
OntoSeek: content-based access to the Web
TL;DR: The OntoSeek system adopts a language of limited expressiveness for content representation and uses a large ontology based on WordNet for content matching to increase both recall and precision of content based retrieval.
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