Web-Based Expert System for Civil Service Regulations: RCSES

IFAC Proceedings Volumes, 1986

A methodology is described for building knowledge base systems that handle the knowledge found in regulations, specifications and other similar documents. The approach involves manually translating the document into a simple, English-like language. which combines a production rule approach with constraints, hierarchies and scripts. Our methodology structures the process of translation and verification using several software tools. The retrieval process is based on various types of deduction and associative indexing of rules and facts. Though our example is travel regulations, the method is general enough to be useful for most technical material, such as software description, design or service specifications, or training manuals.

The paper presents a conception of the Semantic Web Expert System which is the logical continuation of the expert system development. The Semantic Web Expert System emerges as the result of evolution of expert system concept and it means expert system moving toward the Web and using new Semantic Web technologies. The proposed conception of the Semantic Web Expert System promises to have new useful features that distinguish it from other types of expert systems.

International Journal of Advanced Computer Science and Applications

The Semantic Web technology is an efficient mechanism to query or infer knowledge on a global scale using the internet by providing logical reasoning through rule based system. In this paper application of semantic web technology is discussed in context of agriculture knowledge management and delivery. In agriculture, adoption of newly developed technology is essential to enhance crop production. However, timely dissemination of authenticated agriculture information for decision making at larger scale to diversified end user has always been a challenge due to several reasons. One of the reasons is storing and delivering agriculture knowledge in machine readable form. In this paper a frame work based on semantic web is presented for collection, storing and updating of agricultural information at centralized location and delivering knowledge through intelligent decision support system through semantic web. The frame work utilizes rule based system for querying information from agriculture knowledge base.

Proceedings of the First International Conference on Software and Data Technologies, 2006

The Web has become the ubiquitous platform for distributing information and computer services. The tough Web competition, the way people and organizations rely on Web applications, and the increasing user requirements for better services have raised their complexity. Expert systems can be accessed via the Web, forming a set of Web applications known as Web based expert systems. This paper supports that the Web engineering and expert systems principals should be combined when developing Web based expert systems. A development process model will be presented that illustrates, in brief, how these principals can be combined. Based on this model, a publicly available Web based expert system called Landfill Operation Management Advisor (LOMA) was developed. In addition, the results of an accessibility evaluation on LOMA-the first ever reported on Web based expert systems-will be presented. Based on this evaluation some thoughts on accessibility guidelines specific to Web based expert systems will be reported.

This paper presents a developing process for Web based expert systems and specifically focuses on the developing process of their corresponding Web sites. As a case study, the architecture of a Web site/application, which includes the Landfill Operation Management Advisor (LOMA) expert system, will be presented. The Web site/application is available at http://loma.civil.duth.gr since November 2002. Based on the gained experience, useful tips will be given on the construction of such Web sites/applications. Moreover, some explanations will be recorded supporting the assertion that Web based expert systems can be considered as a category of Web engineering applications.

2018

Expert systems use human knowledge to solve problems that usually require human intelligence. The education system will be revolutionized with the introduction of expert systems in this area through proper planning of the learning process, increasing decision-making abilities and advising students. The research aims to design and develop an expert system capable of solving the problems of academic guidance in King Khalid University. The system uses business intelligence techniques and tools to improve the decision making process based on the regulations and variables in the work in a manner that simulates the academic advisor who plays the role of the human expert in the system. The use of the Expert System is useful as an instructional and teaching tool because it is equipped with unique features that allow users to ask questions about how and why. In any way, the study concluded that expert systems in education have great potential but are largely inactivated due to lack of research's and documents. This paper emphasizes that the concepts should be applied in the field of education as well as academic guidance.

International Journal of Computing and Optimization, 2015

Process automation software empowers government institutions to provide e-services and to adapt quickly to legislative changes. In complex government systems however process design is a complex task which requires knowledge of the legal framework which regulates the service, process design methodology and expertise on using the processes automation software. Processes design should guarantee that the new process would be compliant to legal acts. Generally legal acts are stored as text files which make it difficult to make software based analysis of them with the purpose to assist the process design activity. This paper presents an ontology based representation of legal acts which regulate a list of services provided by higher educational institutions in Albania. The paper focuses on the enabling tools for reading the ontology and producing a human readable format of the ontology content. The ontology is created using Protégé and exported in owl format. Reading the structured file through a programming language, namely C# is illustrated in order to produce a human readable format of the legal act.

Future Internet, 2012

Regulations in the Building Industry are becoming increasingly complex and involve more than one technical area, covering products, components and project implementations. They also play an important role in ensuring the quality of a building, and to minimize its environmental impact. Control or conformance checking are becoming more complex every day, not only for industrials, but also for organizations charged with assessing the conformity of new products or processes. This paper will detail the approach taken by the CSTB (Centre Scientifique et Technique du Bâtiment) in order to simplify this conformance control task. The approach and the proposed solutions are based on semantic web technologies. For this purpose, we first establish a domain-ontology, which defines the main concepts involved and the relationships, including one based on OWL (Web Ontology Language) [1]. We rely on SBVR (Semantics of Business Vocabulary and Business Rules) [2] and SPARQL (SPARQL Protocol and RDF Query Language) [3] to reformulate the regulatory requirements written in natural language, respectively, in a controlled and formal language. We then structure our control process based on expert practices. Each elementary control step is defined as a SPARQL query and assembled into complex control processes "on demand", according to the component tested and its semantic OPEN ACCESS Future Internet 2012, 4 831

A knowledge based system is an Artificial Intelligence program, whose benefits depend more on the explicit presence of a body of knowledge than the possession of ingenious computational procedures to solve a problem and (Gómez, A.; Juristo, N.; Montes, C. & Pazos, J., 1997,). An expert system is a knowledge based system that represents the experience of a qualified person in a restricted area.

Artificial Intelligence and Law, 2004

In this paper, we describe the use of legal ontologies as a basis to improve IT support for professional judges. As opposed to most legal ontologies designed so far, which are mostly based on dogmatic and normative knowledge, we emphasize the importance of professional knowledge and experience as an important pillar for constructing the ontology. We describe an intelligent FAQ system for junior judges that intensively uses the ontology. * Intelligent Software Components (iSOCO), Spain,