Semantic feedback for the enrichment of conceptual models
| Authors |
|
|---|---|
| Publication date | 2011 |
| Book title | KCAP 2011 |
| Book subtitle | proceedings of the 2011 Knowledge Capture Conference, June 2629, 2011, Banff, Alberta, Canada |
| ISBN (electronic) |
|
| Event | 6th International Conference on Knowledge Capture, KCAP 2011 |
| Pages (from-to) | 187-188 |
| Number of pages | 2 |
| Publisher | New York: ACM |
| Organisations |
|
| 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. |
| Document type | Conference contribution |
| Language | English |
| Published at | https://doi.org/10.1145/1999676.1999718 |
| Other links | https://www.scopus.com/pages/publications/79960266668 |
| Downloads |
p187-lozano
(Final published version)
|
| Permalink to this page | |
