Declarative Framework for Semantical Interpretations of Structured Information — An Applicative Approach

Abstract

International audienceWe study the applicability of declarative models to encode and describe structured information by means of semantics. Specifically, we introduce D-SPACES, an implementation of constraint systems with space and extrusion operators. Constraint systems are algebraic models that allow for a semantic language-like representation of information in systems where the concept of space is a primary structural feature. We mainly give this information an epistemic and temporal interpretation and consider various agents as entities acting upon it. D-SPACES is coded as a c++ library providing implementations of constraint systems, space functions and extrusion functions. The interfaces to access each implementation are minimal and thoroughly documented. D-SPACES also provides property-checking methods as well as an implementation of a specific type of constraint systems (a boolean algebra). This last implementation serves as an entry point for quick access and proof of concept when using these models. Finally, we show the applicability of this framework with two examples; a scenario in the form of a social network where users post their beliefs and utter their opinions, and a semantical interpretation of a logical language to express time behaviors and properties

Semantic Structures for Spatially-Distributed Multi-Agent Systems

“…We conclude with some applications of scs in the development of ccp tools and languages. In [14,13] we described D-SPACES, an implementation of scs that provides property-checking methods as well as an implementation of a specific type of constraint systems (boolean algebras). In [21] we used rewriting logic for specifying and analyzing ccp processes combining spatial and real-time behavior.…”