From Montague Grammar to Database Semantics

2015 ◽  
Vol 19 (2) ◽  
pp. 1-18
Author(s):  
Roland Hausser
Keyword(s):  
Montague Grammar ◽  
Database Semantics

Did Montague invent "Montague Grammar"?

1983 ◽  
Vol 5 (2) ◽  
pp. 117-137
Author(s):  
William E. McMahon
Keyword(s):  
Montague Grammar

Structural ambiguity in Montague Grammar and categorial grammar

2015 ◽  
Vol 32 (1) ◽  
Author(s):  
Glyn Morrill
Keyword(s):  
Categorial Grammar ◽  
Theorem Prover ◽  
Montague Grammar ◽  
Structural Ambiguity

AbstractWe give a type logical categorial grammar for the syntax and semantics of Montague's seminal fragment, which includes ambiguities of quantification and intensionality and their interactions, and we present the analyses assigned by a parser/theorem prover CatLog to the examples in the first half of Chapter 7 of the classic text

New Dimension in Relational Database Preservation

2013 ◽  
pp. 160-173
Author(s):  
Ricardo André Pereira Freitas ◽  
José Carlos Ramalho
Keyword(s):  
Conceptual Model ◽  
Digital Media ◽  
Information Technologies ◽  
Relational Databases ◽  
Reference Model ◽  
Digital Preservation ◽  
Specific Class ◽  
Mapping Algorithm ◽  
Preservation Property ◽  
Database Semantics

Due to the expansion and growth of information technologies, much of human knowledge is now recorded on digital media. A new problem in the digital universe has arisen: Digital Preservation. This chapter addresses the problems of Digital Preservation and focuses on the conceptual model within a specific class of digital objects: Relational Databases. Previously, a neutral format was adopted to pursue the goal of platform independence and to achieve a standard format in the digital preservation of relational databases, both data and structure (logical model). The authors address the preservation of relational databases by focusing on the conceptual model of the database, considering the database semantics as an important preservation “property.” For the representation of this higher layer of abstraction present in databases, they use an ontology-based approach. At this higher abstraction level exists inherent Knowledge associated to the database semantics that the authors tentatively represent using “Web Ontology Language” (OWL). From the initial prototype, they develop a framework (supported by case studies) and establish a mapping algorithm for the conversion between databases and OWL. The ontology approach is adopted to formalize the knowledge associated to the conceptual model of the database and also a methodology to create an abstract representation of it. The system is based on the functional axes (ingestion, administration, dissemination, and preservation) of the OAIS reference model.

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