Declaratively Querying and Visualizing Knowledge Bases in XML
Dietmar A. Seipel, Joachim Baumeister, Marbod Hopfner
Abstract
Dietmar A. Seipel, Joachim Baumeister, Marbod Hopfner
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.
OpenAlex reports 1 citations for this work. Citation counts describe recorded attention and do not establish research quality.
A contribution statement is not available in the OpenAlex record.
Method details are not available in the OpenAlex metadata.
Findings are not separately available in the OpenAlex metadata.
Limitations are not available in the OpenAlex metadata.
Application details are not available in the OpenAlex metadata.
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