Task representation and retrieval in an ontology-guided modelling system

Yuan Ren; Jens Lemcke; Tirdad Rahmani; Andreas Friesen; Srdjan Zivkovic; Boris Gregorcic; Andreas Bartho; Yuting Zhao; Jeff Z. Pan

Task representation and retrieval in an ontology-guided modelling system

Yuan Ren, Jens Lemcke, Tirdad Rahmani, Andreas Friesen, Srdjan Zivkovic, Boris Gregorcic, Andreas Bartho, Yuting Zhao, Jeff Z. Pan

Computing Science

Research output: Contribution to journal › Conference article › peer-review

Abstract

A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their corresponding tasks become more and more complex. Therefore, the automatic identification of available tasks for current modelling environments can significantly improve the efficiency of modelling. In this paper, we present a novel approach which integrates task pre- and post-conditions into ontologies that describe the models, and infers availability of tasks through ontology reasoning and query answering. We illustrate this approach with an application on process modelling and show how this can be generalised to other domains.

Original language	English
Pages (from-to)	1-8
Number of pages	8
Journal	CEUR Workshop Proceedings
Volume	529
Publication status	Published - 1 Dec 2009
Event	6th International Workshop on OWL: Experiences and Directions, OWLED 2009 - Co-located with the 8th International Semantic Web Conference, ISWC 2009 and the 3rd International Conference on Web Reasoning and Rule Systems, RR 2009 - Chantilly, VA, United States Duration: 23 Oct 2009 → 24 Oct 2009 http://ceur-ws.org/Vol-529/ (Link to Conference Proceedings)

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title = "Task representation and retrieval in an ontology-guided modelling system",

abstract = "A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their corresponding tasks become more and more complex. Therefore, the automatic identification of available tasks for current modelling environments can significantly improve the efficiency of modelling. In this paper, we present a novel approach which integrates task pre- and post-conditions into ontologies that describe the models, and infers availability of tasks through ontology reasoning and query answering. We illustrate this approach with an application on process modelling and show how this can be generalised to other domains.",

author = "Yuan Ren and Jens Lemcke and Tirdad Rahmani and Andreas Friesen and Srdjan Zivkovic and Boris Gregorcic and Andreas Bartho and Yuting Zhao and Pan, {Jeff Z.}",

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note = "6th International Workshop on OWL: Experiences and Directions, OWLED 2009 - Co-located with the 8th International Semantic Web Conference, ISWC 2009 and the 3rd International Conference on Web Reasoning and Rule Systems, RR 2009 ; Conference date: 23-10-2009 Through 24-10-2009",

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TY - JOUR

T1 - Task representation and retrieval in an ontology-guided modelling system

AU - Ren, Yuan

AU - Lemcke, Jens

AU - Rahmani, Tirdad

AU - Friesen, Andreas

AU - Zivkovic, Srdjan

AU - Gregorcic, Boris

AU - Bartho, Andreas

AU - Zhao, Yuting

AU - Pan, Jeff Z.

PY - 2009/12/1

Y1 - 2009/12/1

N2 - A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their corresponding tasks become more and more complex. Therefore, the automatic identification of available tasks for current modelling environments can significantly improve the efficiency of modelling. In this paper, we present a novel approach which integrates task pre- and post-conditions into ontologies that describe the models, and infers availability of tasks through ontology reasoning and query answering. We illustrate this approach with an application on process modelling and show how this can be generalised to other domains.

AB - A modelling procedure consists of a sequence of modelling tasks. With the increasing size of models during the development, the relations among modelling objects and their corresponding tasks become more and more complex. Therefore, the automatic identification of available tasks for current modelling environments can significantly improve the efficiency of modelling. In this paper, we present a novel approach which integrates task pre- and post-conditions into ontologies that describe the models, and infers availability of tasks through ontology reasoning and query answering. We illustrate this approach with an application on process modelling and show how this can be generalised to other domains.

UR - http://www.scopus.com/inward/record.url?scp=84891396599&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84891396599

SN - 1613-0073

VL - 529

SP - 1

EP - 8

JO - CEUR Workshop Proceedings

JF - CEUR Workshop Proceedings

T2 - 6th International Workshop on OWL: Experiences and Directions, OWLED 2009 - Co-located with the 8th International Semantic Web Conference, ISWC 2009 and the 3rd International Conference on Web Reasoning and Rule Systems, RR 2009

Y2 - 23 October 2009 through 24 October 2009

ER -

Task representation and retrieval in an ontology-guided modelling system

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