A Collaborative Approach to Construction of Large Scale Distributed Reasoning Systems

Abstract

This paper introduces a new collaborative approach to construction of large scale service oriented systems supporting distributed reasoning. In particular, we assume systems in which complex situation assessment is carried out through composition of heterogeneous services, each specialized for a particular type of analysis. Different services are composed automatically by using service discovery and negotiation. One of the major challenges in such settings is efficient definition of a large number of different types of services. The presented solution supports efficient definition of services by using a combination of light weight service ontologies, efficient construction procedures and tools. In particular, machine-understandable descriptions of heterogeneous services with well defined syntax and semantics can be created by multiple designers, without complex coordination of collaborative design processes and without any knowledge of formal ontologies.

Introducing distributed dynamic data‐intensive (D3) science: Understanding applications and infrastructure

“…Applications such as large-scale crisis management, maritime security, disease and pollution monitoring, and environmental control need to fuse large amounts of heterogeneous data to form virtual information sources that mitigate noise. [44][45][46][47] The area of greater Rotterdam in the Netherlands is a chemical hub and houses more than 15% of the Dutch population, making safety and security a major concern. Some leakage of chemicals into the air is an everyday, unavoidable event.…”