Enriching a semantic network language by integrating qualitative reasoning techniques

Fuhr T, Kummert F, Sagerer G (1994)
In: Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994. Nebel B (Ed); Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence, . Berlin [u.a.]: Springer: 130-141.

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Nebel, Bernhard
Abstract
To interpret sensor signals like images, image sequences, or continuous speech the representation and use of task-specific knowledge is necessary. The paper scetches a framework for the representation and utilization of declarative and procedural knowledge using a suitable definition of a semantic network. To meet the needs of machine-human interaction we extend this framework in two ways. A temporal model similar to Bruce is incorporated and representational structures are integrated to formulate qualitative (relational) knowledge. The problem-independent inference rules are extended to alllow for the temporal prediction and the dynamic refinement of this knowledge. Our integration of relational knowledge exemplarily shows how semantic network representations can benefit from developments in qualitative reasoning research.
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Fuhr T, Kummert F, Sagerer G. Enriching a semantic network language by integrating qualitative reasoning techniques. In: Nebel B, ed. Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994. Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence. Berlin [u.a.]: Springer; 1994: 130-141.
Fuhr, T., Kummert, F., & Sagerer, G. (1994). Enriching a semantic network language by integrating qualitative reasoning techniques. In B. Nebel (Ed.), Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence. Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994 (pp. 130-141). Berlin [u.a.]: Springer.
Fuhr, T., Kummert, F., and Sagerer, G. (1994). “Enriching a semantic network language by integrating qualitative reasoning techniques” in Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994, ed. B. Nebel Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence (Berlin [u.a.]: Springer), 130-141.
Fuhr, T., Kummert, F., & Sagerer, G., 1994. Enriching a semantic network language by integrating qualitative reasoning techniques. In B. Nebel, ed. Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994. Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence. Berlin [u.a.]: Springer, pp. 130-141.
T. Fuhr, F. Kummert, and G. Sagerer, “Enriching a semantic network language by integrating qualitative reasoning techniques”, Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994, B. Nebel, ed., Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence, Berlin [u.a.]: Springer, 1994, pp.130-141.
Fuhr, T., Kummert, F., Sagerer, G.: Enriching a semantic network language by integrating qualitative reasoning techniques. In: Nebel, B. (ed.) Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994. Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence. p. 130-141. Springer, Berlin [u.a.] (1994).
Fuhr, T., Kummert, Franz, and Sagerer, Gerhard. “Enriching a semantic network language by integrating qualitative reasoning techniques”. Advances in artificial intelligence: KI 94, 18th German Annual Conference on Artificial Intelligence, Saarbrücken, Germany, September 18 - 23, 1994. Ed. Bernhard Nebel. Berlin [u.a.]: Springer, 1994. Lecture notes in computer science ; 861 : Lecture notes in artificial intelligence. 130-141.
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