2004•Unpublished venueRequires access

Declaratively Querying and Visualizing Knowledge Bases in XML

Dietmar A. Seipel, Joachim Baumeister, Marbod Hopfner

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Abstract

Abstract. The maintenance of large knowledge systems usually is a rather com-plex task. In this paper we will show that extensions or modifications of a knowledge base can be supported by appropriate visualizations techniques, e.g. by il-lustrating dependencies of the considered knowledge. In particular, we introduce a declarative approach for querying and visualizingrule-based knowledge represented as X ML documents; a knowledge engineer canextract and visually inspect parts of the knowledge base by ad-hoc declarations in a flexible manner.

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What this paper is about

Abstract. The maintenance of large knowledge systems usually is a rather com-plex task. In this paper we will show that extensions or modifications of a knowledge base can be supported by appropriate visualizations techniques, e.g. by il-lustrating dependencies of the considered knowledge. In particular, we introduce a declarative approach for querying and visualizingrule-based knowledge represented as X ML documents; a knowledge engineer canextract and visually inspect parts of the knowledge base by ad-hoc declarations in a flexible manner.

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Available abstract

Abstract. The maintenance of large knowledge systems usually is a rather com-plex task. In this paper we will show that extensions or modifications of a knowledge base can be supported by appropriate visualizations techniques, e.g. by il-lustrating dependencies of the considered knowledge. In particular, we introduce a declarative approach for querying and visualizingrule-based knowledge represented as X ML documents; a knowledge engineer canextract and visually inspect parts of the knowledge base by ad-hoc declarations in a flexible manner.

Key concepts: Computer science, Knowledge base, XML, Knowledge-based systems, Information retrieval, Task (project management), Knowledge extraction, Open Knowledge Base Connectivity

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