R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. Swartout. Enabling technology for knowledge sharing. AI Magazine, 12,3:36--56, 1991. Home/Search Document Not in Database Summary Related Articles Check |
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Ontological Structures for Knowledge Sharing Submitted.. - Shave Department.. (Correct)
....access to a database, where it is the individual user s view of data which must be transformed to the specification required by a system procedure. There has already been considerable research into distributed knowledge bases, notably the work of Gio Wiederhold [9] the Knowledge Sharing Effort [6], and the Intelligent Integration of Information (I 3) programme [10] sponsored by DARPA in the USA. The KRAFT project is the first to focus specifically on constraint based knowledge. It is concentrating on the implications for knowledge sharing of the assumptions which underlie each repository ....
R Neches, R Fikes, T Finin, T Gruber, R Patil, T Senatir and W R Swartout. "Enabling Technology for Knowledge Sharing". AI Magazine, 12(3), pp 36-56, Fall 1991.
XIML: A Universal Language for User Interfaces - Puerta, Eisenstein (Correct)
....can be achieved in practice, but they do not detract from the theoretical principles of the language and its applicability to different underlying technologies. THE STRUCTURE OF XIML The XIML language draws mainly from two foundations. One is the study of ontologies and their representation [4], and the other one is the work on interface models [8,9,10] From the former, XIML draws the representation principles it uses; from the latter it derives the types and nature of interaction data. A discussion of the entire XIML schema, or of the specific language constructs would be beyond ....
....examples of valid tasks can for example include Enter Date , View Map , or Perform Contract Analysis . Domain. The domain component is an organized collection of data objects and classes of objects that is structured into a hierarchy. This hierarchy is similar in nature to that of an ontology [4] but at a very basic level. Objects are defined via attribute value pairings. Objects to be included in this component are restricted to those that are viewed or manipulated by a user and can be either simple or complex types. For example, Date , Map , and Contract can all be domain ....
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Neches, R. et al. "Enabling Technology for Knowledge Sharing". In AI Magazine, Volume 12, Number 3; Fall 1991, pp. 36-56.
Semantics for Interoperability: relating ontologies and.. - Bench-Capon, Malcolm.. (2002) (Correct)
....of an ontology for a domain or a KBS. Without such a framework it is in fact difficult, if not impossible, to characterise two KBSs, or to state whether they are in some sense compatible. The latter issue is of profound importance in view of the widespread interest in sharing or merging knowledge [34, 36, 1, 24]. This interest stems from the added value which is potentially available when it is possible to take advantage of the fresh perspectives provided by interoperation between two or more independent but compatible knowledge sources. 1.1 The nature of an ontology Just as a schema is the formal ....
R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senatir, and W. Swartout. Enabling technology for knowledge sharing. AI Magazine, 12(3):36--56, 1991.
Policy Infrastructure as an Extension to the FIPA Abstract.. - Soriano, al. (Correct)
....with each other using a common set of semantics. This approach can be used to abstract the internal architecture of each particular agent, thus providing the aforesaid interoperability. Agent systems interoperability, then, is based on the use of a common agent communication language (ACL) [1], characterized by a set of potential illocutions, called performatives. The assumption is that there is an agreement among agents to use (i) a language of specific content to contextualize the performatives, ii) ontologies to reach agreement on the content of the messages expressed in the above ....
R. Neches et al. "Enabling Technology for Knowledge Sharing". AI Magazine 12, 3, 1991, pp 36-56.
SodaBot: A Software Agent Environment and Construction System - Coen (1994) (21 citations) (Correct)
....to interact with anything other than their owners, and thus, their capabilities do not extend to inter agentcommunication. Finally, the softbot system does not seem to haveanyprovisions for assisting with distribution of softbot agents or their UWL plans. The Darpa Knowledge Sharing Effort ([Neches et al. 1991]) has encouraged much agent based researchinto knowledge representation and communication languages. This effort has led to the design of an agentcommunication language (ACL) intended as a universal medium for agent discourse. Genesereth et al. Genesereth and Singh, 1994, Genesereth and ....
Neches, Robert# Fikes, Richard# Finin, Tom# Gruber, Thomas# Patil, Ramesh# Senator, Tod# and Swartout, William. Enabling Technology for Knowledge Sharing. In AI Magazine,Fall, 1991.
Change Management of Shared and Local Health-Care Terminologies - Oliver, Shahar (Correct)
....software to track changes in the ontology. As a result, the ontology and the implementations diverged, thus negating the advantages of a shared ontology. 26] Knowledge representation researchers have found that the high cost of building knowledge bases impedes the development of large systems [29]. Therefore, the problems of sharing, reuse, and local modification have become prominent research topics. Solutions proposed include translating between different knowledge representations, creating a common application programming interface (API) sharing a common syntax and semantics, merging ....
Neches R, Fikes R, Finin T, et al. Enabling technology for knowledge sharing. AI Magazine 1991; 12: 36-56. http:// www.isi.edu/isd/KRSharing/vision/AIMag-small.html
Designing for Scalabilty in a Knowledge Fusion System - Preece, Hui, Gray, Marti (2000) (Correct)
....common internal representation. This internal KRAFT resource is used by facilitator and wrapper agents and is managed by a special mediator agent. KRAFT builds upon work done in the early 1990s on knowledge sharing and reuse, most notably the results of the Knowledge Sharing Effort (KSE) project [11]. Although it did result in a number of practical applications (for example, 5, 9] the early work on knowledge sharing and reuse has not had the expected impact in the construction of large scale, open, distributed knowledge systems. One area that was not addressed in the early work was that of ....
R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. Swartout, Enabling technology for knowledge sharing, AI Magazine, 12:36--56, 1991.
A Security Architecture for Agent Communication Language - Finin, Mayfield.. Self-citation (Finin) (Correct)
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. Swartout. Enabling technology for knowledge sharing. AI Magazine, 12(3):36--56, Fall 1991.
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. Swartout. Enabling technology for knowledge sharing. AI Magazine, 12,3:36--56, 1991.
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Semantic Web Support for the Business-to-Business.. - Trastour, Bartolini.. (2003) (11 citations) (Correct)
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, W. R. Swarton, Enabling technology for knowledge sharing, AI Magazine 12 (3) (1991) 36--56.
Conversion of Units of Measurement - Gordon Novak Jr (1995) (Correct)
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R. Neches et al., "Enabling Technology for Knowledge Sharing", AI Magazine, vol. 12, no. 3, pp. 36-56, Fall 1991.
Deploying Ontologies in Software Design - Kalfoglou (2000) (Correct)
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R. Neches, R.E. Fikes, T. Finin, T.R. Gruber, T. Senator, and W.R. Swartout. Enabling Technology for Knowledge Sharing. AI Magazine, 12(3):36--56, 1991.
Role-Based Viewing Envelopes for Information Protection in .. - Cera, Kim, Han, Regli (2003) (Correct)
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Guidelines for Constructing Reusable Domain Ontologies - Muthukkaruppan Annamalai.. (Correct)
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. R. Swarton. Enabling technology for knowledge sharing. AI Magazine, 12(3):36--56, Fall 1991.
Project Halo: Towards a Digital Aristotle - Noah Friedland Paul (2004) (Correct)
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Neches, R., et al., Enabling Technology for Knowledge Sharing. AI Magazine, 1991. 12(3): p. 36--56.
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. R. Swartout, "Enabling Technology for Knowledge Sharing," AI Magazine, vol. 12, pp. 36-56, 1991.
Ontology-based Support for Variability Management in Product.. - Mohan, Ramesh (2003) (Correct)
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R. Neches, R. E. Fikes, T. Finin, T. R. Gruber, T. Senator, and W. R. Swartout, "Enabling technology for knowledge sharing," AI magazine, vol. 2, pp. 3656, 1991.
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and R. Swartout, "Enabling Technology for Knowledge Sharing," AI Magazine, vol. 12, pp. 36-56, July 1991.
A Tutorial On Agent Communication And - Knowledge Sharing Presented (2002) (Correct)
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Robert Neches, Richard Fikes, Tim Finin, Thomas Gruber, Ramesh Patil, Ted Senator, and William R. Swartout "Enabling Technology For Knowledge Sharing", AI Magazine, Volume 12, No. 3, Fall 1991
Semantic Configuration Web Services in the CAWICOMS.. - Felfernig, Friedrich.. (2002) (1 citation) (Correct)
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator, and W. Swartout. Enabling technology for knowledge sharing. AI Magazine, 12,3:36--56, 1991.
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Robert Neches, Richard Fikes, Tim Finin, Thomas Gruber, Ramesh Patil, Ted Senator and William R. Swartout, `Enabling technology for knowledge sharing', AI Magazine, 12, (3), 36--56 (1991).
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Neches, R.; Fikes, R.E.; Finin, T.; Gruber, T.R.; Senator, T.; Swartout, W.R. "Enabling technology for knowledge sharing". AI Magazine. 12(3)::36-56- 1991.
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R. Neches, R. Fikes, T. Finin, T. Gruber, R. Patil, T. Senator and W. R. Swartout, \Enabling technology for knowledge sharing", AI Magazine (Winter 1991) 36-56.
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