DocumentCode
2081971
Title
Object-process methodology as a basis for the visual semantic Web
Author
Dori, Dov
Author_Institution
Israel Inst. of Technol., Haifa, Israel
fYear
2003
fDate
1-5 Sept. 2003
Firstpage
617
Lastpage
621
Abstract
The Visual Semantic Web (VSW) is a new paradigm for enhancing the current Semantic Web technology. VSW is based on Object-Process Methodology (OPM), which enables modeling of systems in a single graphic and textual model. VSW provides for representation of knowledge over the Web in a unified way that caters to human perceptions while also being machine-processable. The advantages of the VSW approach include graphic-text knowledge representation, visual navigability, semantic sentence interpretation, specification of system dynamics, and complexity management. Arguing against the claim that humans and machines need to look at different knowledge representation formats, we present the principles and basics of OPM and RDF. Using a running example, we present VSW as an extension of OPM, where the basic idea is to express knowledge visually and via a subset of natural language, such that the two representations are strictly equivalent. Both the graphics and the text are intuitive, yet formal, so they are not only understandable to humans, but are also amenable to mechanical processing just like XML.
Keywords
Internet; knowledge representation; knowledge representation languages; semantic Web; visual languages; OPM; RDF; VSW; Web; XML; complexity management; graphic-text knowledge representation; knowledge expression; knowledge representation; machine-processable; natural language; object-process methodology; semantic Web; semantic sentence interpretation; single graphic model; system dynamics specification; systems modeling; textual model; visual navigability; visual semantic web; Graphics; Humans; Knowledge management; Knowledge representation; Natural languages; OWL; Resource description framework; Semantic Web; Web sites; XML;
fLanguage
English
Publisher
ieee
Conference_Titel
Database and Expert Systems Applications, 2003. Proceedings. 14th International Workshop on
ISSN
1529-4188
Print_ISBN
0-7695-1993-8
Type
conf
DOI
10.1109/DEXA.2003.1232090
Filename
1232090
Link To Document