Automatic semantic causal map integration

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review

1 Scopus Citations
View graph of relations

Author(s)

Related Research Unit(s)

Detail(s)

Original languageEnglish
Title of host publicationPACIS 2007 - 11th Pacific Asia Conference on Information Systems: Managing Diversity in Digital Enterprises
Publication statusPublished - 2007

Conference

Title11th Pacific Asia Conference on Information Systems: Managing Diversity in Digital Enterprises (PACIS 2007)
LocationLangham Hotel
PlaceNew Zealand
CityAuckland
Period4 - 6 July 2007

Abstract

Causal map integration is helpful to broaden group member's eyesight and sheds insight on the detection of overall group's cognition tendencies. However the existing causal map integration approaches are either based on human intervention mechanism that is criticized with researcher bias, or based on syntactic mechanism that lacks of semantic. In order to improve the current causal map integration methodology and practice, this study proposes the conceptualization and formalization of an innovative causal map integration approach, automatic semantic causal map integration, grounded on the Sowa's Conceptual Graph Theory and Kosko's Fuzzy Knowledge Combination Theory. The system prototype with an example is also illustrated.

Research Area(s)

  • Causal map, Knowledge integration, Ontology

Citation Format(s)

Automatic semantic causal map integration. / Hao, Jin-Xing; Kwok, Ron Chi-Wai; Yu, Angela Yan.

PACIS 2007 - 11th Pacific Asia Conference on Information Systems: Managing Diversity in Digital Enterprises. 2007.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)Not applicablepeer-review