Semantic feedback for the enrichment of conceptual models

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

doi:10.1145/1999676.1999718

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 proceeding › Conference contribution › Academic › peer-review

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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 language	English
Title of host publication	KCAP 2011
Publisher	Association for Computing Machinery
Pages	187-188
DOIs	https://doi.org/10.1145/1999676.1999718
Publication status	Published - 2011

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title = "Semantic feedback for the enrichment of conceptual models",

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.",

keywords = "conceptual modeling, knowledge reuse, semantic feedback",

author = "E. Lozano and J. Gracia and J. Liem and A. G{\'o}mez-P{\'e}rez and B. Bredeweg",

note = "6th International Conference on Knowledge Capture, KCAP 2011 ; Conference date: 26-06-2011 Through 29-06-2011",

year = "2011",

doi = "10.1145/1999676.1999718",

language = "English",

pages = "187--188",

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publisher = "Association for Computing Machinery",

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T1 - Semantic feedback for the enrichment of conceptual models

AU - Lozano, E.

AU - Gracia, J.

AU - Liem, J.

AU - Gómez-Pérez, A.

AU - Bredeweg, B.

N1 - 6th International Conference on Knowledge Capture, KCAP 2011 ; Conference date: 26-06-2011 Through 29-06-2011

PY - 2011

Y1 - 2011

N2 - 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.

AB - 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.

KW - conceptual modeling

KW - knowledge reuse

KW - semantic feedback

U2 - 10.1145/1999676.1999718

DO - 10.1145/1999676.1999718

M3 - Conference contribution

SP - 187

EP - 188

BT - KCAP 2011

PB - Association for Computing Machinery

ER -

Semantic feedback for the enrichment of conceptual models

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