Applying Knowledge Model To Agent Based Systems

نویسندگان

  • Khaoula ADDAKIRI
  • Mohamed BAHAJ
چکیده

Nowadays, multi-agent system is become promising means for the development of distributed systems, however its disadvantage is that it lacks the interconnection with semantic web such as Ontology Web Language (OWL). In this article, we aim to present a semantic knowledge model of an agent suitable for discrete environments as well as implementation and a use of such model using different softwares (JENA, JADE, JESS and Protégé) in order to allows interconnection of Agent and Semantic Web technologies which can be used in an agent based application where such interconnection is needed. Keywords— Multi Agent System ; Web Ontology Language (OWL); Java Expert System Shell (JESS); SPARQL1.1.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Urban Vegetation Recognition Based on the Decision Level Fusion of Hyperspectral and Lidar Data

Introduction: Information about vegetation cover and their health has always been interesting to ecologists due to its importance in terms of habitat, energy production and other important characteristics of plants on the earth planet. Nowadays, developments in remote sensing technologies caused more remotely sensed data accessible to researchers. The combination of these data improves the obje...

متن کامل

Learning-by-Modeling: Insights from an Agent-Based Model of University-Industry Relationships

Learning is central in so-called knowledge societies. In order to cope with the complexity of socio-economic phenomena new forms of learning are necessary. We argue that learning-by-modeling is contributing to our knowledge of complex phenomena. The idea of learning-by-modeling is introduced by applying an Agent-based model of UniversityIndustry Relationships.

متن کامل

Multiagent Systems Engineering

This paper describes the Multiagent Systems Engineering (MaSE) methodology. MaSE is a general purpose, methodology for developing heterogeneous multiagent systems. MaSE uses a number of graphically based models to describe system goals, behaviors, agent types, and agent communication interfaces. MaSE also provides a way to specify architecture-independent detailed definition of the internal age...

متن کامل

A Multi-Agent Based Environment to Aid in the Design of Petri Nets Based Software Systems

This paper explores the possibility of applying distributed artiicial intelligent systems and multi-agent systems to help in the design of engineering software systems. We deene an environment consisted basically by artiicial designers that based on their knowledge, help a human designer to obtain the design of the software systems. The software design engineering problem we take as example is ...

متن کامل

The Paradox of Intervening in Complex Adaptive Systems; Comment on “Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation”

This commentary addresses two points raised by Kitson and colleagues’ article. First, increasing interest in applying the Complexity Theory lens in healthcare needs further systematic work to create some commonality between concepts used. Second, our need to adopt a better understanding of how these systems organise so we can change the systems overall behaviour, creates a paradox. We seek to m...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013