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Grailog KS Viz: A Grailog Visualizer for Datalog RuleML Using an XSLT Translator to SVG

  • Grailog embodies a systematics to visualize knowledge sources by graphical elements. Its main benefit is that the resulting visual presentations are easier to read for humans than the original symbolic source code. In this paper we introduce a methodology to handle the mapping from Datalog RuleML, serialized in XML, to an SVG representation of Grailog, also serialized in XML, via eXtensible Stylesheet Language Transformations (XSLT) 2.0/XML; the SVG is then rendered visually by modern Web browsers. This initial mapping is realized to target Grailog's "fully node copied" normal form. Elements can thus be translated one at a time, separating the fundamental Datalog-to-SVG translation concern from the concern of merging node copies for optimal (hyper)graph layout and avoiding its high computational complexity in this online tool. The resulting open source Grailog Knowledge-Source Visualizer (Grailog KS Viz) supports Datalog RuleML with positional relations of arity n>1. The on-the-fly transformation was shown to run on all recent major Web browsers and should be easy to understand, use, and extend.

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Document Type:Conference Object
Author:Martin Koch, Sven Schmidt, Harold Boley, Rainer Herpers
Parent Title (English):Fodor, Roman et al. (Hg.): RuleML@ChallengeEnriched 2013. Rule Challenge, Human Language Technology and Doctoral Consortium @ RuleML 2013. Joint Proceedings of the 7th International Rule Challenge, the Special Track on Human Language Technology and the 3rd RuleML Doctoral Consortium hosted at the 8th International Symposium on Rules (RuleML2013), Seattle, USA, July 11 -13, 2013
Date of first publication:2013/07/10
Tag:Datalog; Grailog; JavaScript; RuleML; SVG; Visualization; XML; XSLT; computational logic; directed hypergraphs; graphs; rules
Departments, institutes and facilities:Fachbereich Informatik
Institute of Visual Computing (IVC)
Dewey Decimal Classification (DDC):0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Entry in this database:2018/08/10