Role Of Knowledge-based Systems Research Articles

Successful Use of Knowledge-Based Systems for Collaboration in Higher Education

Knowledge-based systems are forms of computerized tools designed specially to help in many aspects specifically in collaboration activities. Despite the importance of these tools in generating, exchanging, and sharing the information and knowledge, many institutions, especially educational ones, are not interested in them, because of insufficient knowledge of the role of knowledge-based systems and their effectiveness in the academic events. The basic purposes of this paper are to find the role of knowledge-based systems collaboration tools (KBSCT) in higher educational institutions and to recognize in what way institution and student performance are affected by implementing KBSCT. The research questionnaires distributed to 100 participants, but only 67 were used and included in the frequency analysis. The results added a contribution in terms of identifying how the KBSCT effect on the higher educational institution and student's decisions.

ROCP: A Rapid Ontology Construction Platform from Unstructured Data

The domain ontology, which plays a significant role in knowledge-based systems, still needs the manual work of domain experts to be constructed currently. The main motivation of this paper is to provide a semi-automatic platform which can construct fairly comprehensive domain ontology from unstructured data. Meanwhile, a brief QA System is proposed to simplify the interaction with the domain experts. A novel algorithm MPVW, which extends from the classical algorithm TF-IDF, is proposed to extract the terminologies from domain documents. MPVW balanced more parameters and factors to evaluate the feature of terminologies. The 3-layers taxonomy and terminology hyponymy height provide sufficient guide and prompt for domain experts to construct ontology from terminologies. According to our approach we have developed ROCP, a rapid ontology construction platform which has been applied in the space debris mitigation domain. The experimental data indicates that ROCP has sufficient accuracy to extract terminologies. Meanwhile, it is effective to relieve the labor of domain experts to construct domain ontology.

Sustainable deconstruction and the role of knowledge-based systems

The traditional approach in the construction industry has been to demolish and landfill; however, this generates enormous volumes of solid waste and wastes valuable resources. As information becomes readily available, deconstruction can replace demolition as the desired alternative; and the markets for salvaged materials will grow. As these methods evolve, formalised procedures need to be developed to improve technology and information capture. Web-based systems provide a mechanism towards that which can serve this purpose. Knowledge Management (KM) techniques are increasingly effective in the management and reuse of 'knowledge artefacts' in process management and improvement. The KM approach can optimise the process, and facilitate standardised analyses, guiding the user through existing 'best practices', optimised to the specific deconstruction process, and improving process efficiency and effectiveness. We discuss how KM systems can provide a systematic approach to the acquisition, analysis and dissemination for the deconstruction industry. We describe informational sources that can be utilised for this purpose, and provide a framework for the integration of these information sources. The principal contribution of this paper is the exposition of the informational requirements and the use of KM in managing these informational sources to the problem of sustainability.

Knowledge‐based systems: a re‐evaluation

PurposeThe goal of this paper is to re‐evaluate the role of knowledge‐based systems (KBS) in knowledge management (KM). While knowledge‐based systems and expert systems were widely used in the past, they have now fallen from favor and are largely ignored in the knowledge management literature. This paper aims to argue that several factors have changed and it is now time to re‐evaluate the contribution that such systems can make to knowledge management.Design/methodology/approachThe role of KBS in KM is explored through a comprehensive analysis of both the management and the technical literature on knowledge. The literature on KBS and expert systems is reviewed and some of the problems faced by them are highlighted. Some of the probable causes of these problems and some of the solutions that might be used to overcome them are indicated. The paper describes how knowledge systems (KS) could be used as an effective tool for managing knowledge.FindingsThe lack of success of KBS technologies for managing knowledge is mainly due to organizational and managerial issues. These problems can be solved through feasibility studies before system development activities. KS technology is now being successfully applied in a variety of newer domains that exploit its capabilities.Practical implicationsSome conclusions are drawn concerning integration of knowledge systems with knowledge management, problems of the early implementation of knowledge systems technology, and possible solution to overcome these problems.Originality/valueThe main contribution of the article is in re‐evaluating the role of knowledge‐based systems as a tool for knowledge management.

Do smarter systems make for smarter organizations?

This article explores the role of knowledge-based systems (KBS) in knowledge management (KM). KM is considered an umbrella term, incorporating various issues related to the value of knowledge as a production factor. This study assesses three research themes which together address the main object of KM. First, how do the introduction and utilization of KBS affect the organizational core competencies? Secondly, is the knowledge content of products and services affected by KBS? Thirdly, how do these systems affect job quality? The results of an empirical investigation in 24 knowledge-intensive, commercial organizations show that KBS usually have a positive impact on organizational competencies. They reveal that KBS may both threaten and enhance the knowledge content of certain tasks. They also show that, in general, the introduction of KBS leads to a slight decrease in job quality.

Knowledge-Based Systems for Design

Knowledge-based systems are a special class of computer programs that purport to perform, or to assist humans in performing, specified intellectual tasks. This paper describes how knowledge-based programs are special; that is, how they differ from other computer programs. A structure for understanding the use of knowledge-based programs in engineering design is presented, together with an example. The role of knowledge-based systems in design research is discussed.

Knowledge-Based Systems for Design

Knowledge-based systems are a special class of computer programs that purport to perform, or to assist humans in performing, specified intellectual tasks. This paper describes how knowledge-based programs are special; that is, how they differ from other computer programs. A structure for understanding the use of knowledge-based programs in engineering design is presented, together with an example. The role of knowledge-based systems in design research is discussed.

Communicating the knowledge in knowledge-based systems

Abstract As the role of knowledge-based systems grows in the marketplace, the necessity of clearly communicating their knowledge to people increases. However, well-represented internally, a system's knowledge cannot be used to train, advise, or assist an individual unless it can be discussed naturally. Recent efforts to standardize knowledge coding and expert system user interfaces fall short in defining a real ability to communicate knowledge. Most systems are unable to explain their knowledge, inferences, or applicability to anyone but a well-trained, domain-knowledgeable user. In this paper, we examine the features needed to enable intelligent expression of knowledge, and survey previous work in this area. We also describe an intelligent text generator (ITG) designed as an adjunct to an object-oriented expert system. We present a structure within which a rule-based system for a given domain can be expanded to communicate its knowledge intelligibly, in any of several natural languages.

Practical IT project management in the 1990s

Techniques and technology are converging to provide machine assistance for planning and measuring, estimating, replanning and assessing alternatives, for all types of project. This study examines current developments in methodologies, from strategic planning through to maintenance, and the role of knowledge-based systems in making ‘experience’ available to the project manager. Quality control and quality assurance is achievable in this way, and effecting an end-of-phase updating of the databases is encouraged as positive feedback to the project management process itself. Despite the advent of machine assistance, it is emphasized that management is above all else a human responsibility.

Knowledge-based systems for industrial control

Artificial intelligence can assist in industrial control in many ways, but this paper concentrates on the role of knowledge-based systems in the areas of control, detection and diagnosis of faults, scheduling and planning. The paper argues that the application of knowledge-based techniques can provide a unification of these and other activities, and outlines the requirements of knowledge representation and inference techniques that are needed to make such systems a reality. The advances in hardware, including sensors as well as computers, that will be driven by and in turn stimulate the introduction of the knowledge-based industrial control systems are also considered.

Knowledge-based systems for industrial control

Artificial intelligence can assist in industrial control in many ways, but this paper concentrates on the role of knowledge-based systems in the areas of control, detection and diagnosis of faults, scheduling and planning. The paper argues that the application of knowledge-based techniques can provide a unification of these and other activities, and outlines the requirements of knowledge representation and inference techniques that are needed to make such systems a reality. The advances in hardware, including sensors as well as computers, that will be driven by and in turn stimulate the introduction of the knowledge-based industrial control systems are also considered.