Abstract
This paper explores the possibility of applying Database Semantic (DBS) to textual databases and the WWW. The DBS model of natural language communication is designed as an artificial cognitive agent with a hearer mode, a think mode, and a speaker mode. For the application at hand, the hearer mode is used for (i) parsing language data into sets of proplets, defined as non-recursive feature structures, which are stored in a content-addressable memory called Word Bank, and (ii) for parsing the user query into a DBS schema employed for retrieval. The think mode is used to expand the primary data activated by the query schema to a wider range of relevant secondary and tertiary data. The speaker mode is used to realize the data retrieved in the natural language of the query.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Hausser, R.: Database Semantics for natural language. Artificial Intelligence 130(1), 27–74 (2001)
Berners-Lee, T., Hendler, J., Lassila, O.: The Semantic Web. Scientific American 284(5), 34–43 (2001)
Chisvin, L., Duckworth, R.J.: Content-Addressable and Associative Memory. In: Yovits, M.C. (ed.) Advances in Computer Science, pp. 159–235. Academic Press, London (1992)
Fredkin, E.: Trie Memory. Communication of the ACM 3(9), 490–499 (1960)
Hausser, R.: Modeling Natural Language Communication in Database Semantics. In: Proceedings of the APCCM, ACS, CIPRIT, Wellington, New Zealand, vol. 96, pp. 17–26 (2009)
Hausser, R.: A Computational Model of Natural Language Communication. Springer, Heidelberg (2006)
Quillian, M.: Semantic memory. In: Minsky, M. (ed.) Semantic Information Processing, pp. 227–270. MIT Press, Cambridge (1968)
Salton, G.: Automatic Text Processing: The Transformation, Analysis, and Retrieval of Information by Computer. Addison-Wesley Longman Publishing Co., Inc., Boston (1989)
Hausser, R.: Complexity in Left-Associative Grammar. Theoretical Computer Science 106(2), 283–308 (1992)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Hausser, R. (2010). Parsing Natural Language into Content for Storage and Retrieval in a Content-Addressable Memory. In: Hopfe, C.J., Rezgui, Y., Métais, E., Preece, A., Li, H. (eds) Natural Language Processing and Information Systems. NLDB 2010. Lecture Notes in Computer Science, vol 6177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-13881-2_17
Download citation
DOI: https://doi.org/10.1007/978-3-642-13881-2_17
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-13880-5
Online ISBN: 978-3-642-13881-2
eBook Packages: Computer ScienceComputer Science (R0)