Semantic feedback for the enrichment of conceptual models

E. Lozano, J. Gracia, J. Liem, A. Gómez-Pérez, B. Bredeweg

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

1 Citation (Scopus)

Abstract

Conceptual modeling is a complex task that requires domain specific knowledge as well as a good command of modeling techniques. In this paper we propose an approach that aims to capture relevant knowledge from an online pool of conceptual models. This knowledge is brought to the user in order to assist the construction of new conceptual models. With our method, relevant feedback is generated based on knowledge extracted from the pool of models. Such feedback, tailored to the current modeling process of the user, allows the model to be improved based on shared knowledge.
Original languageEnglish
Title of host publicationKCAP 2011
PublisherAssociation for Computing Machinery
Pages187-188
Number of pages2
DOIs
Publication statusPublished - 2011
Externally publishedYes

Fingerprint Dive into the research topics of 'Semantic feedback for the enrichment of conceptual models'. Together they form a unique fingerprint.

Cite this