Abstract
Collective entities and collective relations play an important role in natural language. In order to capture the full meaning of sentences like “The Beatles sing ‘Yesterday’ ”, a knowledge representation language should be able to express and reason about plural entities — like “the Beatles” — and their relationships — like “sing” — with any possible reading (cumulative, distributive or collective).
In this paper a way of including collections and collective relations within a concept language, chosen as the formalism for representing the semantics of sentences, is presented. A twofold extension of the ALC concept language is investigated: (1) special relations introduce collective entities either out of their components or out of other collective entities, (2) plural quantifiers on collective relations specify their possible reading. The formal syntax and semantics of the concept language is given, together with a sound and complete algorithm to compute satisfiability and subsumption of concepts, and to compute recognition of individuals. An advantage of this formalism is the possibility of reasoning and stepwise refining in the presence of scoping ambiguities. Moreover, many phenomena covered by the Generalized Quantifiers Theory are easily captured within this framework. In the final part a way to include a theory of parts (mereology) is suggested, allowing for a lattice-theoretical approach to the treatment of plurals.
This paper is a a reduced version of a paper to appear in Minds and Machines, special issue on Knowledge Representation for Natural Language Processing. This work has been partially supported by the Italian National Research Council (CNR), project “Sistemi Informatici e Calcolo Parallelo”, and by the IRST MAIA project. We would like to thank also Alessandro Artale, Werner Nutt and Achille Varzi for the helpful and incisive discussions we had with them.
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Allgayer, J., Franconi, E. (1994). Collective entities and relations in concept languages. In: Lakemeyer, G., Nebel, B. (eds) Foundations of Knowledge Representation and Reasoning. Lecture Notes in Computer Science, vol 810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-58107-3_2
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