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Gmez-Prez, A.; Benjamins, v. R.: Overview of Knowledge Sharing and Reuse Components. Ontologies and Problem Solving Methods. In: Proceedings of the 42 IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5). Stockholm: 1999.

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Knowledge Management for Computational Problem Solving - Lee, Lee, Huang   (1 citation)  (Correct)

.... are ontologies (concerned with the representation of static domain knowledge) and problem solving methods (PSM) aimed at describing KBS reasoning processes in a manner that is both implementation and domain independent) PSMs are also associated with the dynamic reasoning of knowledge [Perez and Benjamins 99] If a KBS supports PSM, then the KBS possesses the capabilities of a PSE. Accordingly, it is possible to measure the KBS s strength using the collaboration levels mentioned above. In addition to adding a certain level of automation to the organization of the global knowledge structure, a PSE ....

Perez, A. G., Benjamins, V. R.: "Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods," IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5) Stockholm, 1999.


Scalability and Knowledge Reusability in Ontology Modeling - Jarrar, Meersman (2002)   (Correct)

....ISBN is a mandatory property for the book to have, or person has age , but might disagree on the range. 4. KNOWLEDGE REUSABILITY Supporting and enabling knowledge reusability is another important (and perhaps more immediately accessible) goal of building ontologies ( IFFJ97] UG96] MFGB99] [GPB99] [G95] Notice that ontology usability is subtly different from ontology reusability [RVMW99] Increasing the reusability of knowledge implies the maximization of using this knowledge among several kinds of (autonomously specified ) tasks, while increasing ontology usability could mean just ....

Gomez-Perez, A., & Benjamins, R., "Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods", in: Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5), MorganKaufmann (1999).


Using Meta-Knowledge at the Application Level - Kalfoglou, Robertson (2000)   (Correct)

....This sort of consistency is dicult to enforce in a mechanised manner and the manual check is based on ontological commitments explicitly made by the ontology. Recently, Gomez Perez has proposed an error typology which classi es potential errors made during structuring knowledge in taxonomies(Gomez Perez, 1999). Although the categories proposed are classes biased in the sense that they talk about a particular ontology design formalism, that is, frames, there are two types identi ed that are similar to what we call a conceptual errors In particular, the author de nes semantic errors as incorrect ....

....cation language. Although not so closely targeted on KBS applications as other formalisms it turned out to be appropriate for the ontological examples we encountered, so a shift to a more specialised language was unnecessary for us. Readers interested in more specialised languages should refer to (Gomez Perez Benjamins, 1999) and (Fensel, Horrocks, van Harmelen, Decker, Erdmann, Klein, 2000) This said, it is important to remember that a similar method could be used with other formal languages provided they supply the same form of close connection between ontological constraints and executable speci cations. 3.1 ....

Gomez-Perez, A., & Benjamins, R. (1999). Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods(KRR5), Stockholm, Sweden. http://sunsite.informatik.rwth-aachen.de/Publications/CEUR-WS/Vol-18/.


EOS: Making the Epistemic Impact of Ontologies in Knowledge.. - Wohner (2001)   (Correct)

....semistructured data. Modeling Epistemic Processes A recent approach to bridge the gap between formal ontologies and reasoning processes has been that of Problem Solving Methods (PSMs) PSMs describe the reasoning process of a knowledge based system in an implementation and domainindependent way [7]. They are abstract, task oriented methods designed for facilitating knowledge engineering processes and address as such similar problems as laws. But, unlike PSMs, laws are an integral part of the formalization of domain knowledge and may be distributed and applied as such. Laws only exist in the ....

A. Gomez-Perez, V.R. Benjamins. Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (KRR5), Stockholm, Sweden, August 2, 1999.


Expanding e-learning effectiveness. The shift from content.. - Lytras, Pouloudi   (Correct)

....stage as well as every stage of the transformation model enriches the initial knowledge objects with specific metadata. This approach has to be based in integrated approaches, which include ontologies (Staab and Maedche 2000) Staab et al. 2000) knowledge management, semantics and annotations (Perez and Benjamins 1999). Knowledge Management Dimension F5.64e 05 E Learning Dimension High Value Learning Processes Low Value Learning Processes Static Content KM processes Dynamic Content KM processes Low High Application Integration Dimension Knowledge Management Dimension F5.64e 05 E Learning ....

Perez and Benjamins (1999). Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. IJCAI99 workshop on Ontologies and Problem-Solving Methods (KRR5), Stockholm, Sweden, August 2, 1999.


WaWO - An ontology embedded into an environmental.. - Ceccaroni.. (2000)   (Correct)

....that specifically address the issue of the development and maintenance of ontologies. Ontolingua is the ontology development environment most related to the ontology of the DAI DEPUR system. For a comprehensive survey of the work which has been done so far on methodologies see [7] and [5]. The Ontolingua language, which is used by our WaWO ontology, is expressive, declarative, portable, domain independent and semantically well defined. Figure 1. Scheme of a wastewater treatment plant. There are a number of more or less generic editors to create and manage ontologies, but the ....

Gomez-Perez, A. and Benjamins, R., 1999. Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods, in Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods(KRR5), Stockholm, Sweden, August 1999. 2 - 8


On Efficiency Of Learning: A Framework And Justification - Bucha (2000)   (Correct)

....world. These are two extremes on a scale of kinds of learning. The state of the art is, of course, somewhere in between, significantly closer to simple learning. It contrasts with some other AI areas, like the use of ontologies or knowledge engineering, where we do use complex knowledge structures [3], 4] To apply learning to ontologies it is necessary to integrate both learning and ontology areas, i.e. modify each area. For example, learning could accept complex knowledge structures; ontologies could accept the approach to approximate knowledge. This would modify e.g. some design ....

....each area. For example, learning could accept complex knowledge structures; ontologies could accept the approach to approximate knowledge. This would modify e.g. some design principles that have been proved useful in the development of ontologies , like clarity, completeness, and coherence [3], 5] On the other hand, this may solve e.g. one often mentioned problem, that concrete elements are in many cases practically more usable then abstract ones [3] 6] 7] The more complex learning is rare, but not absent [8] 9] Existing examples may provide a basis for the design of such ....

[Article contains additional citation context not shown here]

A. G. Perez, V. R. Benjamins, Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In


Efficiency of Learning: Framework and Justification - Bucha   (Correct)

....parts of different cognitive functions, applied in the whole real world. These are two extremes. The state of the art is, of course, somewhere in between, much closer to simple learning. It contrasts with some other AI areas, like knowledge engineering, where we do use complex knowledge structures [4], 5] The application of this framework to learning ontologies is highly relevant: 1) Both in ontologies and in the framework, there is a common stress put on knowledge structure, reuse, object orientation. 2) Learning ontologies can be approached both top down and bottom up. If there are no ....

....be integrated. For example, learning could accept complex knowledge structures; ontologies could accept an approach to approximate knowledge. This would modify e.g. some design principles that have been proved useful in the development of ontologies , like clarity, completeness, and coherence [4], 6] On the other hand, this may explain e.g. one 1 ,QVWLWXWH RI ,QIRUPDWLRQ 7KHRU DQG XWRPDWLRQ# 3RG YRGiUHQVNRX Y#t ## 182 08 Prague 8, Czech Republic, email: bucha utia.cas.cz often mentioned problem, that concrete elements are in ....

[Article contains additional citation context not shown here]

A. G. Perez, V. R. Benjamins, Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In


Semantic Web Portals -- State of the Art - Survey Holger Lausen   (Correct)

No context found.

Gmez-Prez, A.; Benjamins, v. R.: Overview of Knowledge Sharing and Reuse Components. Ontologies and Problem Solving Methods. In: Proceedings of the 42 IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5). Stockholm: 1999.


Towards a Clinical Practice Guideline.. - Sobrado, Pikatza, .. (2004)   (Correct)

No context found.

Gomez-Perez, A., & Benjamins, R., "Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods", in: Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5), MorganKaufmann (1999).


Developing a UML Profile for Modelling Knowledge Based.. - Abdullah, Evans, Benest, .. (2004)   (Correct)

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Gomez-Perez, A., Benjamins,V.R.: Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. in IJCAI-99 Workshop on Ontologies and Problem-Solving Methods (KRR5). 1999. Stockholm, Sweden.


FIPA-compliant MAS development for road traffic.. - Garcia-Serrano..   (Correct)

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Gmez-Prez, A. Benjamins, R. "Overview of Knowledge Sharing and Reuse Components: Ontologies and ProblemSolving methods" IJCAI Workshop on ontologies and PSM. Stockholm (Sweden) August 1999


Deploying Ontologies in Software Design - Kalfoglou (2000)   (Correct)

No context found.

A. Gomez-Perez and R. Benjamins. Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In Proceedings of the IJCAI-99 Workshop on Ontologies and Problem-Solving Methods(KRR5), Stockholm, Sweden, August 1999. http://sunsite.informatik.rwthaachen. de/Publications/CEUR-WS/Vol-18/.


Ontology-based Support for Variability Management in Product.. - Mohan, Ramesh (2003)   (Correct)

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A. G. Perez and V. R. Benjamins, "Overview of Knowledge Sharing and Reuse Components," presented at Proceedings of the IJCAI-99 workshop on Ontologies and Problem-Solving Methods (KRR5), Stockholm, Sweden, 1999.


Computer Assisted Ontology clustering for Knowledge sharing - Tamma, Visser, Malerba..   (Correct)

No context found.

Gmez Prez, A., and Benjamins, V.R. (1999): Overview of Knowledge Sharing and Reuse Components: Ontologies and Problem-Solving Methods. In Proceedings of the IJCAI'99 Workshop on Ontology and Problem-Solving Methods: Lesson learned and Future Trends, Benjamins, V.R., (Ed.), CEUR Publications, Amsterdam, vol.18, pp.:1.1-1.15.

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