| Nebel B, Luck K. Issues of integration and balancing in hybrid knowledge. In Morik K, editor, GWAI-87 1987;114--123. |
....of Quillian s original semantic network [42] Quite a number of KL ONE descendants exist, which makes this probably the largest and most successful family of implemented knowledge representation systems. Two excellent overviews are [43, 44] while some of the family members are described in [45, 40, 46, 47, 48] [49, 50] 51, 52, 53, 54] 55] Several other semantic networks that do not belong to the family of Description Logics exist, such as those described in [56, 57] Our own choice of using Object Oriented Databases instead of Description Logics is based on two kinds of reasons, which may be ....
Nebel B, Luck K. Issues of integration and balancing in hybrid knowledge. In Morik K, editor, GWAI-87 1987;114--123.
....system on two of the concepts which have already proven as an expressive means of dealing with knowledge, namely on frames and rules. On the other hand, the IFS system has three new important features distinguishing it from all hybrid knowledge representation systems known to us (e.g. 7] 10] [23]) ffl it supports multiple approaches to handling uncertain knowledge, Research reported in this paper was supported by ESPRIT Project 7364 ffl frames, rules and uncertainty processing are integrated using the object oriented paradigm, ffl the knowledge representation is consistently mapped ....
B. Nebel and K. von Luck. Issues of integration and balancing in hybrid knowledge representation systems. In K. Morik, editor, Proceedings of the GWAI, pages 115--123, 1987.
....to them as deductive pattern matchers. In the classification based approach to pattern matching, an instance is matched to a pattern by first abstracting it, and then classifying the abstraction. This strategy is employed by two recent systems, KL TWO [Vilain, 1985] and BACK [Luck et al. 1987; Nebel and Luck, 1987] In this paper, we describe an extension of this approach which (1) is deductively more powerful than, and (2) is expected to be more efficient than, the strategies used in these earlier systems. In many KL ONE style knowledge representation systems, two languages are provided for expressing ....
B. Nebel and K. von Luck. Issues of integration and balancing in hybrid knowledge representation systems. In K. Morik, editor, GWAI-87, pages 114--123, Springer, Berlin (Germany), 1987.
....For instance, reasoners might interact cooperatively or they might be controlled by a metareasoner [21] 2. 5 Requirements and Possible Pitfalls First of all, the design of a hybrid KRR system should be done in a way such that the subformalisms employed are balanced in their expressiveness [42]. For instance, it does not make much sense to have the means to represent cardinalities of sets in a TBox without the expressive power of representing cardinalities in the ABox. Second, the combination of subformalisms and subsystems should be more than the sum of their parts. This means that the ....
B. Nebel and K. von Luck. Issues of integration and balancing in hybrid knowledge representation systems. In K. Morik, editor, GWAI87. 11th German Workshop on Artificial Intelligence, pages 114--123, Springer-Verlag, Berlin, West Germany, 1987.
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