Task-based specifications through conceptual graphs
Conceptual modeling is an important step toward the construction of user requirements. Requirements engineering is knowledge intensive and cannot be dealt with using only a few general principles. Therefore, a conceptual model is domain oriented and should represent the richer semantics of the probl...
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Veröffentlicht in: | IEEE expert 1996-08, Vol.11 (4), p.60-70 |
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creator | Lee, J. Lai, L.F. Haung, W.T. |
description | Conceptual modeling is an important step toward the construction of user requirements. Requirements engineering is knowledge intensive and cannot be dealt with using only a few general principles. Therefore, a conceptual model is domain oriented and should represent the richer semantics of the problem domain. The conceptual model also helps designers communicate among themselves and with users. To capture and represent a conceptual model for the problem domain, we need: mechanisms to structure the knowledge of the problem domain at the conceptual level, which has the underlying principles of abstraction and encapsulation; and formalisms to represent the semantics of the problem domain and to provide a reasoning capability for verification and validation. We propose the task based specification methodology as the mechanism to structure the knowledge captured in conceptual models. TBSM offers four main benefits for constructing conceptual models, which are outlined. We propose conceptual graphs as the formalism to express task based specifications where the task structure of problem solving knowledge drives the specification, the pieces of the specification can be iteratively refined, and verification can be performed for a single layer or between layers. We chose conceptual graphs for their expressive power to represent both declarative and procedural knowledge, and for their assimilation capability-that is, their ability to be combined. |
doi_str_mv | 10.1109/64.511868 |
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Requirements engineering is knowledge intensive and cannot be dealt with using only a few general principles. Therefore, a conceptual model is domain oriented and should represent the richer semantics of the problem domain. The conceptual model also helps designers communicate among themselves and with users. To capture and represent a conceptual model for the problem domain, we need: mechanisms to structure the knowledge of the problem domain at the conceptual level, which has the underlying principles of abstraction and encapsulation; and formalisms to represent the semantics of the problem domain and to provide a reasoning capability for verification and validation. We propose the task based specification methodology as the mechanism to structure the knowledge captured in conceptual models. TBSM offers four main benefits for constructing conceptual models, which are outlined. We propose conceptual graphs as the formalism to express task based specifications where the task structure of problem solving knowledge drives the specification, the pieces of the specification can be iteratively refined, and verification can be performed for a single layer or between layers. We chose conceptual graphs for their expressive power to represent both declarative and procedural knowledge, and for their assimilation capability-that is, their ability to be combined.</description><identifier>ISSN: 0885-9000</identifier><identifier>EISSN: 2374-9407</identifier><identifier>DOI: 10.1109/64.511868</identifier><identifier>CODEN: IEEXE7</identifier><language>eng</language><publisher>IEEE</publisher><subject>Artificial intelligence ; Conceptual graphs ; Control systems ; Encapsulation ; Expert systems ; Organizing ; Power system modeling ; Problem-solving ; Protection ; Task based specifications</subject><ispartof>IEEE expert, 1996-08, Vol.11 (4), p.60-70</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c277t-b57d1c2d7e3c39d8c551e2c6e11c38a8c40a49e0d7f434a29367f27c7677088b3</citedby><cites>FETCH-LOGICAL-c277t-b57d1c2d7e3c39d8c551e2c6e11c38a8c40a49e0d7f434a29367f27c7677088b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/511868$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27923,27924,54757</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/511868$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lee, J.</creatorcontrib><creatorcontrib>Lai, L.F.</creatorcontrib><creatorcontrib>Haung, W.T.</creatorcontrib><title>Task-based specifications through conceptual graphs</title><title>IEEE expert</title><addtitle>EX-M</addtitle><description>Conceptual modeling is an important step toward the construction of user requirements. Requirements engineering is knowledge intensive and cannot be dealt with using only a few general principles. Therefore, a conceptual model is domain oriented and should represent the richer semantics of the problem domain. The conceptual model also helps designers communicate among themselves and with users. To capture and represent a conceptual model for the problem domain, we need: mechanisms to structure the knowledge of the problem domain at the conceptual level, which has the underlying principles of abstraction and encapsulation; and formalisms to represent the semantics of the problem domain and to provide a reasoning capability for verification and validation. We propose the task based specification methodology as the mechanism to structure the knowledge captured in conceptual models. TBSM offers four main benefits for constructing conceptual models, which are outlined. We propose conceptual graphs as the formalism to express task based specifications where the task structure of problem solving knowledge drives the specification, the pieces of the specification can be iteratively refined, and verification can be performed for a single layer or between layers. We chose conceptual graphs for their expressive power to represent both declarative and procedural knowledge, and for their assimilation capability-that is, their ability to be combined.</description><subject>Artificial intelligence</subject><subject>Conceptual graphs</subject><subject>Control systems</subject><subject>Encapsulation</subject><subject>Expert systems</subject><subject>Organizing</subject><subject>Power system modeling</subject><subject>Problem-solving</subject><subject>Protection</subject><subject>Task based specifications</subject><issn>0885-9000</issn><issn>2374-9407</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1996</creationdate><recordtype>article</recordtype><recordid>eNo90L1PwzAQBXALgUQpDKxMmZAYUuz44-wRVRSQKrGU2XIulzaQNsFOBv57ilIxveH9dDo9xm4FXwjB3aNRCy2ENfaMzQoJKneKwzmbcWt17jjnl-wqpU_OhVJgZkxuQvrKy5CoylJP2NQNhqHpDikbdrEbt7sMuwNSP4yhzbYx9Lt0zS7q0Ca6OeWcfayeN8vXfP3-8rZ8WudYAAx5qaESWFRAEqWrLGotqEBDQqC0waLiQTniFdRKqlA4aaAuAMEAHN8t5ZzdT3f72H2PlAa_bxJS24YDdWPyGqQV2rojfJggxi6lSLXvY7MP8ccL7v9m8Ub5aZajvZtsQ0T_7lT-AoINXEw</recordid><startdate>199608</startdate><enddate>199608</enddate><creator>Lee, J.</creator><creator>Lai, L.F.</creator><creator>Haung, W.T.</creator><general>IEEE</general><scope>AAYXX</scope><scope>CITATION</scope><scope>E3H</scope><scope>F2A</scope></search><sort><creationdate>199608</creationdate><title>Task-based specifications through conceptual graphs</title><author>Lee, J. ; Lai, L.F. ; Haung, W.T.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c277t-b57d1c2d7e3c39d8c551e2c6e11c38a8c40a49e0d7f434a29367f27c7677088b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1996</creationdate><topic>Artificial intelligence</topic><topic>Conceptual graphs</topic><topic>Control systems</topic><topic>Encapsulation</topic><topic>Expert systems</topic><topic>Organizing</topic><topic>Power system modeling</topic><topic>Problem-solving</topic><topic>Protection</topic><topic>Task based specifications</topic><toplevel>online_resources</toplevel><creatorcontrib>Lee, J.</creatorcontrib><creatorcontrib>Lai, L.F.</creatorcontrib><creatorcontrib>Haung, W.T.</creatorcontrib><collection>CrossRef</collection><collection>Library & Information Sciences Abstracts (LISA)</collection><collection>Library & Information Science Abstracts (LISA)</collection><jtitle>IEEE expert</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lee, J.</au><au>Lai, L.F.</au><au>Haung, W.T.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Task-based specifications through conceptual graphs</atitle><jtitle>IEEE expert</jtitle><stitle>EX-M</stitle><date>1996-08</date><risdate>1996</risdate><volume>11</volume><issue>4</issue><spage>60</spage><epage>70</epage><pages>60-70</pages><issn>0885-9000</issn><eissn>2374-9407</eissn><coden>IEEXE7</coden><abstract>Conceptual modeling is an important step toward the construction of user requirements. Requirements engineering is knowledge intensive and cannot be dealt with using only a few general principles. Therefore, a conceptual model is domain oriented and should represent the richer semantics of the problem domain. The conceptual model also helps designers communicate among themselves and with users. To capture and represent a conceptual model for the problem domain, we need: mechanisms to structure the knowledge of the problem domain at the conceptual level, which has the underlying principles of abstraction and encapsulation; and formalisms to represent the semantics of the problem domain and to provide a reasoning capability for verification and validation. We propose the task based specification methodology as the mechanism to structure the knowledge captured in conceptual models. TBSM offers four main benefits for constructing conceptual models, which are outlined. We propose conceptual graphs as the formalism to express task based specifications where the task structure of problem solving knowledge drives the specification, the pieces of the specification can be iteratively refined, and verification can be performed for a single layer or between layers. We chose conceptual graphs for their expressive power to represent both declarative and procedural knowledge, and for their assimilation capability-that is, their ability to be combined.</abstract><pub>IEEE</pub><doi>10.1109/64.511868</doi><tpages>11</tpages></addata></record> |
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subjects | Artificial intelligence Conceptual graphs Control systems Encapsulation Expert systems Organizing Power system modeling Problem-solving Protection Task based specifications |
title | Task-based specifications through conceptual graphs |
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