E. Mays, C. Apte, J. Griesmer, and J. Kastner. Experience with K-Rep: An object-centered knowledge representation language. In Proc. IEEE AI Application Conference, San Diego, CA, Mar. 1988.  Home/Search   Document Not in Database   Summary   Related Articles   Check

....on the Web. 1 Introduction Semantic relationships play a central role in building information models for applications. This is true whether one is using traditional modeling techniques like SDM [18] and extended ER [10, 11] knowledge representation languages such as Telos [27] and K Rep [25], or objectoriented modeling methodologies including OMT [5, 36] and Coad Yourdon [8] By semantic relationship we mean more than just a named binary relationship that can be This research was (partially) done under a cooperative agreement between the National Institute of Standards and ....

E. Mays, C. Apte, J. Griesmer, and J. Kastner. Experience with K-Rep: An object-centered knowledge representation language. In Proc. IEEE AI Application Conference, San Diego, CA, Mar. 1988.

....by two grants from the New Jersey Commission for Science and Technology, one for the New Jersey Center for Software Engineering and the other for the Multi lifecycle Engineering Research Center. 1 [6] References to related work on semantic networks [4] knowledge representation languages [22], and ontologies [24] can be found in [19, 20] One major aspect of many CVs is their enormous size and scope. A CV can easily consist of many thousands of concepts with a proportional number of inter concept relationships. Given this fact, it may be hard for potential users and even a CV s own ....

E. Mays, C. Apte, J. Griesmer, and J. Kastner. Experience with K-Rep: An object-centered knowledge representation language. In Proc. IEEE AI Application Conference, San Diego, CA, Mar. 1988.

....90, 91] CLASS, RLL [35, 34] CYCL [47, 49, 48] ARLO [37] THEO [57] JOSIE [60] OPUS [28] and the commercial systems KEE [42] and KAPPA. The KL ONE family originated at Harvard University in the early 1970s. Its members include KL ONE [15] NIKL [41, 6, 76] KANDOR [65] KL TWO [98] K REP [52], KREME [2] BACK [67, 99] MUNIN, SPHINX, KRIS [4] MESON, SB ONE [43] KRYPTON [13] LOOM [101, 40, 51] and CLASSIC [12, 14, 69] See [76, 51, for historical overviews of the KL ONE family. The SRL family originated at Carnegie Mellon University in the early 1980s. Its members include SRL ....

E. Mays, C. Apte, J. Griesmer, and J. Kastner. Experience with k-rep: An objectcentered knowledge representation language. In Proc. IEEE Conference on AI Applications, San Diego, California, March 1988.

....epistemologically adequate constructors to build complex concepts and roles. This idea has been further developed both from the theoretical and the practical point of view. In particular, there is a great variety of successors systems (e.g. back [90, 92, 59] classic [16, 19] crack [22] K Rep [77, 78], kris [7] loom [74, 73] sb one [62] which have been used in different application domains such as natural language processing [95] configuration of technical systems [111] as software information system [29] for optimizing queries to databases [26] or for support in planning [63] Figure ....

E. Mays, C. Apt'e, J. Griesmer, and J. Kastner. Experience with K-Rep: An object-centered knowledge representation language. In Proceedings of IEEE CAIA-88, pages 62--67, 1988.

.... Kobsa, 1989 ] However, its success in this area has also led to applications in other fields (see e.g. meson [ Edelmann and Owsnicki, 1986 ] which is used for computer configuration tasks, classic [ Borgida et al. 1989 ] which is e.g. used in the area of cad cam, or K Rep [ Mays et al. 1987; Mays et al. 1988 ] which is used in a financial marketing domain) A drawback which pure kl one languages have is that all the terminological knowledge has to be defined on the abstract logical level. In many applications, one would like to be able to refer to concrete domains and predicates on these domains when ....

....et al. 1990 ] p. 8) which are given as user defined or machine defined predicates. Similar features are provided by the test construct in classic. In K Rep the roles of concepts may in turn be other (complex) concepts, as well as numbers, strings and . arbitrary Lisp objects ( Mays et al. 1988 ] p. 62) Schmiedel s Temporal Terminological Logic [ Schmiedel, 1990 ] can also be seen in this light. In this case the concrete domain is given by an extension of Allen s interval calculus [ Allen, 1983 ] 1 See e.g. Brachman and Schmolze, 1985 ] Section 9.2, where so called Structural ....

E. Mays, C. Apt'e, J. Griesmer, and J. Kastner. Experience with K-Rep: an object centered knowledge representation language. In Proceedings of IEEE CAIA-88, pages 62--67, 1988.

Online articles have much greater impact   More about CiteSeer.IST   Add search form to your site   Submit documents   Feedback  

CiteSeer.IST - Copyright Penn State and NEC