Database Semantics (DBS) is a computational model
of how communicating with natural language works.
Defined at a level of abstraction which may be applied
to natural and artificial agents alike, such a model is a
precondition for achieving free human-machine communication
in natural language, and thus has great
potential for a wide range of practical applications.
The basic functionality of DBS is a cognitive agent's
turn taking between the speaker mode (mapping content
stored in memory into language surfaces) and
the hearer mode (mapping surfaces into content for
storage in memory). DBS is defined in terms of (i)
the data structure of flat feature structures, (ii) the
algorithm of time-linear LA-grammar, and (iii) the
database schema of a classic network database. |
| Cite as: Hausser, R. (2009). Modeling Natural Language Communication in Database Semantics. In Proc. Sixth Asia-Pacific Conference on Conceptual Modelling (APCCM 2009), Wellington, New Zealand. CRPIT, 96. Kirchberg, M. and Link, S., Eds. ACS. 17-26. |
 (from crpit.com)
(local if available)
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