Jihie Kim and Yolanda Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 223--229, 2000.  Home/Search   Document Details and Download   Summary   Related Articles   Check

.... Tallis et al. developed a library of scripts for modifying knowledge bases, which helped to enforce the consistency of the modified knowledge [7, 27, 28, 29] Kim and Gil considered the use of scripts for building new knowledge acquisition tools, and created a system for evaluating these tools [9, 10]. Blythe et al. designed a general knowledge acquisition interface based on previous techniques [2] Musen developed the prot eg e environment for creating knowledge acquisition tools [14, 16] which proved e#ective for the development of knowledge systems, including the aids expert systems [20] ....

Jihie Kim and Yolanda Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 223--229, 2000.

....with extracting information, often fully automatically, by applying a combination of statistical and linguistic methods to analyzing large volumes of text written for humans. 1. 2 Motivation There is signi cant desire in the knowledge acquisition community to capture knowledge from end users [29, 49, 35]. The need to overcome the knowledge acquisition bottleneck is also recognized beyond the knowledge acquisition community. For example, DARPA s funding the Rapid Knowledge Formation (RKF) initiative [12] seeks to address precisely this issue. The thrust for XML and the Semantic Web by the W3 ....

.... What fraction elicits a correction of the question Although the component words do provide hints about the phrase: in this case, its shape (card) and function (video) 25 How does this system compare to others E ectiveness of knowledge acquisition has speci cally been studied for Expect [29], Soar [54] and Prot eg e 2000 [39] TREC, on the other hand, has a question answering track which fostered a body of work on retrieving answers from collections of free text documents. However, neither addresses question answering from an assertion base. In fact, the author is not aware of any ....

J. Kim and Y. Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In AAAI/IAAI, pages 223{ 229, 2000.

....bases capture knowledge in such a way that it is very hard to get out or translate what they contain. 2.1 No Knowledge Base is an Island Knowledge based systems are no longer built to function in isolation. Every application that we have built with the EXPECT architecture [Btyhe et at. 2001; Kim and Git 2000; Git and Tallis, 1997; Git and Metz, 1996] in recent years has been integrated within a larger end to end system in order to provide the overall functionality required. This section describes several integration efforts that illustrate important challenges in terms of knowledge mobility: ....

....knowledge acquisition tools to enable end users to extend a knowledge base, including analysis of Interdependency Models, scripts to plan acquisition dialogue, exploiting problem solving methods and other background knowledge, and creating English based structured editors [Btythe et at. 2001; Kim and Git, 2000; Git and Tallis, 1998; Swattout and Git 1995] EXPECT helps users enter knowledge at the lower levels of an RHKB, and has been shown to be quite effective in several user evaluations with subjects not familiar with programming and formal languages. TRELLIS acquires more informal knowledge and ....

Jihie Kim and Yotanda Git. "Acquiring Problem-Solving Knowledge from End Users: Putting Interdependency Models to the Test." Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI- 2000), Austin, TX, July 30-August 3, 2000.

....it helps users build or modify process models by detecting invalid statements and pointing out what additional knowledge needs to be acquired or what existing knowledge needs to be modified. Our approach is inspired on previous work on EXPECT using Interdependency Models (IM) Swartout Gil, 1995; Kim Gil, 2000] These models of the interdependencies between different pieces of knowledge can be derived by analyzing how knowledge is used during problem solving. By analyzing these interdependencies, a knowledge acquisition tool can detect inconsistencies and missing knowledge and alert the user of ....

....kinds of IM including interdependencies between factual knowledge and procedural knowledge. IM can point out missing pieces in solving a problem and predict what pieces are related and how. It has been successfully used in building and checking problem solving knowledge in EXPECT[Kim Gil, 1999; Kim Gil, 2000] To guide users in developing process models, KANAL builds interdependencies among KB objects in the system, and uses them to perform two kinds of checks: static checks and dynamic checks. Static checks are performed by posing questions about various features of the process model, and dynamic ....

Kim, J. & Gil, Y. Acquiring problemsolving knowledge from end users: Putting interdependency models to the test. In Proceedings of AAAI-2000, pp. 223--229, 2000.

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Kim, J. and Gil, Y.: Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. Proceedings of AAAI-2000.

....more comprehensive ontology editors, example based validation techniques, and semi automatic tools to extract knowledge from on line sources. Our previous experimental work has shown that end users who are not programmers can successfully use some of the individual components of this system [2, 11]. We intend to perform further experiments to investigate how well the integrated system supports end users. 7. ACKNOWLEDGMENTS We gratefully acknowledge the support of DARPA with grant F30602 97 1 0195 as part of the DARPA High Performance Knowledge Bases program, and with grant ....

J. Kim and Y. Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proc. Seventeenth National Conference on Artificial Intelligence. AAAI Press, 2000.

....Models to acquire procedural knowledge A theme of our KA research has been how KA tools can exploit Interdependency Models (Swartout Gil 1995) that relate individual componentsof the knowledge base in order to develop expectations of what users need to add next. EMeD (EXPECT Method Developer) (Kim Gil 1999; 2000), a knowledge acquisition tool to acquire problemsolving knowledge, exploits the Interdependency Models to guide users by helping them understand the relationships among the individual elements in the knowledge base. Our hypothesis is that Interdependency Models allow users to enter more knowledge ....

.... officers using our KA tools to extend a Course of Action critiquer, and was part of the Knowledge Acquisition Critical Component Experiment that was conducted as part of the DARPA High Performance Knowledge Bases program (Cohen et al. 1998) More details on these and other studies acn be found in (Kim Gil 2000; 2000; Blythe Gil 2000; Tallis Gil, 1999) With EMeD, we spent 8 hours (two half day sessions) for training. Users spent roughly half of that time learning EXPECT s language and how to put the procedural knowledge together. The rest of the time was spent learning about the KA tool and its ablated ....

Kim, J., and Gil, Y. 2000. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proc. Seventeenth National Conference on Artificial Intelligence. AAAI Press.

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Jihie Kim and Yolanda Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proceedings of the Seventeenth National Conference on Artificial Intelligence, pages 223--229, 2000.

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Jihie Kim and Yolanda Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proceedings of the Seventeenth National Conference on Arti cial Intelligence, pages 223-229, 2000.

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J. Kim and Y. Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proc. 17th Nat. Conf. AI, pages 223--229, 2000.

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J. Kim and Y. Gil. Acquiring problem-solving knowledge from end users: Putting interdependency models to the test. In Proc. 17th Nat. Conf. AI, pages 223--229, 2000.

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