By Yuan An, Alex Borgida, John Mylopoulos (auth.), Stefano Spaccapietra (eds.)
The LNCS magazine on information Semantics is dedicated to the presentation of extraordinary paintings that, in a single means or one other, addresses learn and improvement on concerns on the topic of information semantics. in keeping with the hugely noticeable booklet platform Lecture Notes in laptop technological know-how, this new magazine is greatly disseminated and on hand worldwide.
The scope of the magazine levels from theories assisting the formal definition of semantic content material to leading edge domain-specific functions of semantic wisdom. The magazine addresses researchers and complex practitioners engaged on the semantic net, interoperability, cellular info prone, info warehousing, wisdom illustration and reasoning, conceptual database modeling, ontologies, and synthetic intelligence.
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Utilizing a cognitive linguistics point of view, this paintings offers the main complete, theoretical research of the semantics of English prepositions to be had. All English prepositions are initially coded as spatial family among actual entities. whereas preserving their unique which means, prepositions have additionally built a wealthy set of non-spatial meanings.
Within the Dynamics of that means, Gennaro Chierchia tackles vital concerns in dynamic semantics and extends the final framework. bankruptcy 1 introduces the suggestion of dynamic semantics and discusses intimately the phenomena which have been used to inspire it, reminiscent of "donkey" sentences and adverbs of quantification.
This article deals a philosophical exam of the elemental conceptual framework of pragmatic thought, and contrasts this framework with specified descriptions of our daily practices of language use. whereas the consequences can be hugely appropriate to pragmatics, the research isn't a contribution to pragmatic idea.
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Extra info for Journal on Data Semantics VII
An essential initial step is dealing with the fact that in the ontology (as in object oriented databases), objects have intrinsic identity, which is lost in the relational data model, where this notion is replaced by external identiﬁers/keys. For this purpose, the standard approach is to introduce special Skolem functions that generate these identiﬁers from the appropriate keys, as in: O:Employee(ff(ssn)) :- T :Employee(ssn, , , ). One then needs to express the external identiﬁers using axioms that relate these Skolem functions with the appropriate ontology attributes: O:hasSsn(ff(ssn),ssn) :- T :Employee(ssn, , , ).
Discovering the Semantics of Relational Tables Through Mappings 29 For example, the above formula is equivalent to the OWL concept:
Quillian. Semantic Memory. In Semantic Information Processing. Marvin Minsky (editor). 227-270. The MIT Press. 1968. 21. E. Rahm and P. A. Bernstein. A Survey of Approaches to Automatic Schema Matching. VLDB Journal, 10:334–350, 2001. 22. R. Ramakrishnan and M. Gehrke. ). McGraw Hill, 2002. 23. H. Wache, T. Vogele, U. Visser, H. Stuckenschmidt, G. Schuster, H. Neumann, and S. Hubner. Ontology-Based Integration of Information - A Survey of Existing Approaches. In IJCAI’01 Workshop. on Ontologies and Information Sharing, 2001.