Presentation | 2007-03-28 A Goal-Oriented Requirements Analysis Method by Using Domain Ontologies Masayuki SHIBAOKA, Motoshi SAEKI, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In existing goal-oriented requirements analysis methods, it is assumed that a requirements analyst has sufficient domain specific knowledge, thus building a goal-graph of high quality without such knowledge is difficult. In this paper, we propose a method to show candidates of goal refinements and conflicts by mapping a domain ontology-the source of domain specific knowledge-to the goal-graph and applying inference rules. The candidates to be shown for a goal are derived from the concepts mapped to it by using concepts, relations and inference rules in the ontology. Results are displayed following priority calculated from the inference process. We have implemented a tool to realize this method, and shown the effectiveness of this method through an application experiment. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Domain Ontology / Goal-Oriented Requirements Analysis Method / Knowledge Resource |
Paper # | AI2006-63,KBSE2006-71 |
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Conference Information | |
Committee | AI |
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Conference Date | 2007/3/21(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Artificial Intelligence and Knowledge-Based Processing (AI) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | A Goal-Oriented Requirements Analysis Method by Using Domain Ontologies |
Sub Title (in English) | |
Keyword(1) | Domain Ontology |
Keyword(2) | Goal-Oriented Requirements Analysis Method |
Keyword(3) | Knowledge Resource |
1st Author's Name | Masayuki SHIBAOKA |
1st Author's Affiliation | Tokyo Institute of Technology() |
2nd Author's Name | Motoshi SAEKI |
2nd Author's Affiliation | Tokyo Institute of Technology |
Date | 2007-03-28 |
Paper # | AI2006-63,KBSE2006-71 |
Volume (vol) | vol.106 |
Number (no) | 617 |
Page | pp.pp.- |
#Pages | 4 |
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