Ion-Mircea Diaconescu

Semantic Web and Rule Reasoning inside of E-Learning Systems

This paper describes how the Semantic Web and the JenaRules can work together in order to empower e-Learning platform Moodle with rich reports and flexible courses management. We discuss aspects of using Semantic Web technologies in e-learning in general and the JenaRules in particular. The main focus is towards using rules for reasoning on top of existing Moodle content.

Sharing Rules between JBoss and Jena

The actual rule based implementations point to different rule target platforms and languages (object oriented rule languages, semantic Web rule languages, artificial intelligence rule languages) in a business landscape dominated by a limited number of tool vendors as well as competitive open-source platforms and rule interoperability initiatives. This work provides a description of business rules translation from JBoss-Rules - an object oriented rule-system, to Jena Rules - a semantic Web rule-system, via an interchange language. It focuses on the general lines of the JBoss- RZML-Jena translation and to outline the limitations and on the correctness of the proposed interchange.

Methodologies and Tools for Modeling Rule-based Web Services

The aim of this paper is to create a scenario, which offers methods to integrate ECA rules into Web services. This paper also provides a short survey on using and creating Web services based on WSDL-S and SOAP technologies and make a introduction to Semantic Web technologies : WSDL-S, OWL-S, and WSMO. We provide a JESS rule example, we serialize it into a R2ML rule (R2ML tend to become a standard of rule serialization into a XML form) then using SOAP, we create a request for the example Web service.

Agent-based simulations with beliefs and SPARQL-based ask-reply communication

This paper presents the results of extending an agent-based simulation framework by adding a full-fledged model of beliefs and by supporting ask-reply communication with the help of the W3C RDF query language SPARQL. Beliefs are the core component of any cognitive agent architecture. They are also the basis of ask-reply communication between agents, which allows social learning. Our approach supports the conceptual distinctions between facts and beliefs, and between sincere answers and lies.

On the Foundations of Web-Based Registries for Business Rules

In the last eight years, registries for e-business, such as ebXML or UDDI, enabling enterprise of any size and in any geographical location to conduct their businesses on the World Wide Web, were developed. Applications in domains such as insurance (for example, insurance rating), financial services (loans, claims routing and management, fraud detection), government (tax calculations), telecom customer (care and billing), e-commerce (personalizing the user’s experience, recommender systems, auctions), and so on benefit greatly from using rule engines. Therefore, sharing rulesets becomes a necessity for many B2B businesses. This work presents a basic architecture of building a Web-based registry for rules. The main goal of the registry is to allow rulesets discovery. Registry entries contain both required ruleset related data (such as ruleset URI or properties describing their intended scope) and optional metadata covering additional properties such as last modified date.

Modeling and Simulation of Web-of-Things Systems as Multi-Agent Systems

In the Web of Things WoT, special communication networks composed of sensor nodes, actuator nodes and service nodes form the basis for new types of web application systems, which are directly connected to the real world via sensors and actuators. We propose a conceptual framework for simulating WoT systems as multi-agent systems where both sensor nodes, actuator nodes and service nodes, as well as other systems in their environment interacting with them such as other web applications, web services and human users, are modeled and simulated as agents. Our conceptual framework includes an ontology of WoT systems as sensor/actuator systems, and a meta-model for defining an agent-based WoT system simulation language.

Beliefs and Communication, The Basis of Collaborative Agents

Nowadays, simulation scenarios require enhanced agents being capable of communication, learning and having beliefs about their self or about their world. The distinction between facts and (possible false) beliefs is part of the requirements in order to describe scenarios closer to real world. This work proposes a solution which allows information exchange between agents, making use of generic/standard and ad-hoc message types, involving their self beliefs and their beliefs about the world where they act. Standard agent types being capable of automatic management of standard message types are defined. SPARQL, a standard RDF based query language, is used as part of the communication protocol. The paper is build around a social simulation scenario that provides the possibility of testing and describing the benefices of this work.

Towards a Mapping from Java Vocabulary to RDFS

This paper describe how essential parts of the Java vocabulary can be described using RDFS. First part of the paper describe a mapping solution from Java vocabulary to RDF Schema. In the second part we define a new RDFS extension to express additional vocabulary elements into RDFS.