Lego-note: To generate Semantic Web content by graphic tagging

Jie Yang, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Lego-Note is an open source, browser-based semantic application inspired by folksonomy. Different from the other keyword-based, flat tagging systems, Lego-Note is featured by enriched graphic tagging based on a RDF model. The paper presents the implementation details of Lego-Note. The demonstration and source code can be found at https://sourceforge.net/projects/dom-sensus.

Original languageEnglish
Title of host publicationCEUR Workshop Proceedings
Volume181
Publication statusPublished - 2006
Externally publishedYes
Event2nd International Workshop on Scripting for the Semantic Web, SFSW 2006 - Co-located with 3rd European Semantic Web Conference - Budva, Montenegro
Duration: 2006 Jun 122006 Jun 12

Other

Other2nd International Workshop on Scripting for the Semantic Web, SFSW 2006 - Co-located with 3rd European Semantic Web Conference
CountryMontenegro
CityBudva
Period06/6/1206/6/12

Fingerprint

Semantic Web
Demonstrations
Semantics

ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Yang, J., & Ishizuka, M. (2006). Lego-note: To generate Semantic Web content by graphic tagging. In CEUR Workshop Proceedings (Vol. 181)

Lego-note : To generate Semantic Web content by graphic tagging. / Yang, Jie; Ishizuka, Mitsuru.

CEUR Workshop Proceedings. Vol. 181 2006.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, J & Ishizuka, M 2006, Lego-note: To generate Semantic Web content by graphic tagging. in CEUR Workshop Proceedings. vol. 181, 2nd International Workshop on Scripting for the Semantic Web, SFSW 2006 - Co-located with 3rd European Semantic Web Conference, Budva, Montenegro, 06/6/12.
Yang J, Ishizuka M. Lego-note: To generate Semantic Web content by graphic tagging. In CEUR Workshop Proceedings. Vol. 181. 2006
Yang, Jie ; Ishizuka, Mitsuru. / Lego-note : To generate Semantic Web content by graphic tagging. CEUR Workshop Proceedings. Vol. 181 2006.
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