Abstract
The paradigm of Multilayered Extended Semantic Networks (MultiNet) is one of the most thoroughly described knowledge representantion systems along the line of semantic networks. The conceptual representation of MultiNet is characterized by embedding its nodes into a multidimensional space of layer attributes. These layer attributes play an important part during the syntactico-semantic analysis of natural language texts and during the inferential answer finding in question answering systems. The paper demonstrates the automatic generation of complex layer information for conceptual nodes and their use in the assimilation of knowledge pieces into a larger knowledge base.
Preview
Unable to display preview. Download preview PDF.
References
Allgayer, J. and C. Reddig-Siekmann (1990). What KL-ONE lookalikes need to cope with natural language — scope and aspect of plural noun phrases. In Sorts and Types in Artificial Intelligence (edited by K. H. Bläsius, U. Hedtstück, and C.-R. Rollinger), pp. 240–285. Springer, Berlin, Germany.
Brachman, R. J. (1978). Structured inheritance networks. Technical Report No. 3742, Bolt Beranek & Newman, Cambridge, Massachusetts.
Gnörlich, C. (2000). MultiNet/WR: A Knowledge Engineering Toolkit for Natural Language Information. Technical Report 278, FernUniversität Hagen, Germany.
Helbig, H. (1997). Der MESNET Primer — Die Darstellungsmittel der Mehrschichtigen Erweiterten Semantischen Netze. FernUniversität Hagen, Germany.
Helbig, H. (2001). Die semantische Struktur natürlicher Sprache: Wissensrepräsentation mit MultiNet. Springer, Berlin.
Helbig, H., C. Gnörlich, and J. Leveling (2000). Natürlichsprachlicher Zugang zu Informationsanbietern im Internet und zu lokalen Datenbanken. In Sprachtechnologie für eine dynamische Wirtschaft im Medienzeitalter (edited by K.-D. Schmitz), pp. 79–94. TermNet, Wien.
Helbig, H. and S. Hartrumpf (1997). Word class functions for syntactic-semantic analysis. In Proceedings of the 2nd International Conference on Recent Advances in Natural Language Processing (RANLP’97), pp. 312–317. Tzigov Chark, Bulgaria.
Kamp, H. and U. Reyle (1993). From Discourse to Logic: Introduction to Modeltheoretic Semantics of Natural Language, Formal Logic and Discourse Representation Theory. Number 42 in Studies in Linguistics and Philosophy. Kluwer, Dordrecht.
Knoll, A., C. Altenschmidt, J. Biskup, H.-M. Blüthgen, I. Glöckner, S. Hartrumpf, H. Helbig, C. Henning, Y. Karabulut, R. Lüling, B. Monien, T. Noll, and N. Sensen (1998). An integrated approach to semantic evaluation and content-based retrieval of multimedia documents. In Proceedings of the 2nd European Conference on Digital Libraries (ECDL’ 98) (edited by C. Nikolaou and C. Stephanidis), number 1513 in Lecture Notes in Computer Science, pp. 409–428. Springer, Berlin.
Leveling, J. and H. Helbig (2002). A robust natural language interface for access to bibliographic databases. In Proceedings of the 6th World Multiconference on Systemics, Cybernetics and Informatics (SCI 2002). International Institute of Informatics and Systemics (IIIS), Orlando, Florida.
Peltason, C. (1991). The BACK system — An overview. SIGART Bulletin, 2(3):114–119.
Quillian, M. R. (1968). Semantic memory. In Semantic Information Processing (edited by M. Minsky), pp. 227–270. MIT Press, Cambridge, Massachusetts.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hartrumpf, S., Helbig, H. (2002). The Generation and Use of Layer Information in Multilayered Extended Semantic Networks. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2002. Lecture Notes in Computer Science(), vol 2448. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46154-X_12
Download citation
DOI: https://doi.org/10.1007/3-540-46154-X_12
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-44129-8
Online ISBN: 978-3-540-46154-8
eBook Packages: Springer Book Archive