Fuzzy Semantics of Contract Language

A Formal Semantics for a Quality of Service Contract Language

Current interests in the context of system development include non-functional aspects of an application and the quality of the service (QoS) it provides. In video on demand applications, for instance, properties such as delay, bandwidth and CPU utilization are monitored in order to identify if they are within acceptable limits. In our approach, non-functional requirements are described by contr...

Dynamic Categorization of Semantics of Fashion Language: A Memetic Approach

Categories are not invariant. This paper attempts to explore the dynamic nature of semantic category, in particular, that of fashion language, based on the cognitive theory of Dawkins’ memetics, a new theory of cultural evolution. Semantic attributes of linguistic memes decrease or proliferate in replication and spreading, which involves a dynamic development of semantic category. More specific...

Fuzzy quantifiers in natural language:: semantics and computational models

Contract Monitoring Semantics as Patterns of Communication

We present a new approach to contract semantics which expresses myriad monitoring strategies using a small core of foundational communication primitives. This approach allows multiple existing contract monitoring approaches, ranging from Findler and Felleisen’s original model of higher-order contracts to semi-eager, parallel, or asynchronous monitors, to be expressed in a single language built ...

Interpreting the Fuzzy Semantics of Natural-Language Spatial Relation Terms with the Fuzzy Random Forest Algorithm

Naïve Geography, intelligent geographical information systems (GIS), and spatial data mining especially from social media all rely on natural-language spatial relations (NLSR) terms to incorporate commonsense spatial knowledge into conventional GIS and to enhance the semantic interoperability of spatial information in social media data. Yet, the inherent fuzziness of NLSR terms makes them chall...