• Journal of Intelligence and Information Systems
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• v.27 no.4
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• pp.49-71
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• 2021

Users who intend to utilize knowledge to actively solve given problems proceed their jobs with cross- and sequential exploration of associated knowledge related each other in terms of certain criteria, such as content relevance. A knowledge map is the diagram or taxonomy overviewing status of currently managed knowledge in a knowledge-base, and supports users' knowledge exploration based on certain relationships between knowledge. A knowledge map, therefore, must be expressed in a networked form by linking related knowledge based on certain types of relationships, and should be implemented by deploying proper technologies or tools specialized in defining and inferring them. To meet this end, this study suggests a methodology for developing the knowledge graph-based knowledge map using the Graph DB known to exhibit proper functionality in expressing and inferring relationships between entities and their relationships stored in a knowledge-base. Procedures of the proposed methodology are modeling graph data, creating nodes, properties, relationships, and composing knowledge networks by combining identified links between knowledge. Among various Graph DBs, the Neo4j is used in this study for its high credibility and applicability through wide and various application cases. To examine the validity of the proposed methodology, a knowledge graph-based knowledge map is implemented deploying the Graph DB, and a performance comparison test is performed, by applying previous research's data to check whether this study's knowledge map can yield the same level of performance as the previous one did. Previous research's case is concerned with building a process-based knowledge map using the ontology technology, which identifies links between related knowledge based on the sequences of tasks producing or being activated by knowledge. In other words, since a task not only is activated by knowledge as an input but also produces knowledge as an output, input and output knowledge are linked as a flow by the task. Also since a business process is composed of affiliated tasks to fulfill the purpose of the process, the knowledge networks within a business process can be concluded by the sequences of the tasks composing the process. Therefore, using the Neo4j, considered process, task, and knowledge as well as the relationships among them are defined as nodes and relationships so that knowledge links can be identified based on the sequences of tasks. The resultant knowledge network by aggregating identified knowledge links is the knowledge map equipping functionality as a knowledge graph, and therefore its performance needs to be tested whether it meets the level of previous research's validation results. The performance test examines two aspects, the correctness of knowledge links and the possibility of inferring new types of knowledge: the former is examined using 7 questions, and the latter is checked by extracting two new-typed knowledge. As a result, the knowledge map constructed through the proposed methodology has showed the same level of performance as the previous one, and processed knowledge definition as well as knowledge relationship inference in a more efficient manner. Furthermore, comparing to the previous research's ontology-based approach, this study's Graph DB-based approach has also showed more beneficial functionality in intensively managing only the knowledge of interest, dynamically defining knowledge and relationships by reflecting various meanings from situations to purposes, agilely inferring knowledge and relationships through Cypher-based query, and easily creating a new relationship by aggregating existing ones, etc. This study's artifacts can be applied to implement the user-friendly function of knowledge exploration reflecting user's cognitive process toward associated knowledge, and can further underpin the development of an intelligent knowledge-base expanding autonomously through the discovery of new knowledge and their relationships by inference. This study, moreover than these, has an instant effect on implementing the networked knowledge map essential to satisfying contemporary users eagerly excavating the way to find proper knowledge to use.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.14 no.2
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• pp.119-140
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• 2003

The purpose of this paper is to suggest guidelines for building up an integrated information network(IIN) model that enables to enhance production, flow and use of knowledge and information. The IIN consists of four areas of key infrastructure, such as, education, labor market, school-industry cooperation, and lifelong education information infrastructure. Based on the analysis of current situations and problems of each information infrastructure, this paper raises variety of issues and solutions for the IIN model. Directions for building up the IIN includes both information base infrastructure and information support infrastructure.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.5 no.1
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• pp.173-182
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• 2001

In this paper, we discuss how ontology Plays roles in building a distributed and heterogeneous knowledge-base system. First, we discuss relationship between ontology and agent in the Knowledgeable Community which is a framework of knowledge sharing and reuse based on a multi-agent architecture. Ontology is a minimum requirement for each agent to join the Knowledgeable Community. Second we explain mediation by ontology to show how ontology is used in the Knowledgeable Community. A special agent called mediation analyzes undirected messages and infer candidates of recipient agents by consulting ontology and relationship between ontology and agents. Third we model ontology as combination of aspects each of which can represent a way of conceptualization. Aspects are combined either as combination aspect which means integration of aspects or category aspect which means choice of aspects. Since ontology by aspect allows heterogeneous and multiple descriptions for phenomenon in the world, it is appropriate for heterogeneous knowledge-base systems. We also show translation of messages as a wave of interpreting multiple aspects. A translation agent can translate a message with some aspect to one with another aspect by analyzing dependency of aspects. Mediation and translation of messages are important to build agents easily and naturally because less knowledge on other agents is requested for each agent.

• Computers and Concrete
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• v.2 no.4
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• pp.293-307
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• 2005

The development and the main features of an expert system for modeling the requirements of durable concrete in chemical exposure, called the Durable Concrete Advisor for Chemical Exposure (DCACE), are described. The system was developed to help improve the quality of concrete exposed to chemical environment by minimizing mistakes and deficiencies in selecting concrete constituents. Using Kappa-PC expert system shell, an object-oriented model was developed where the rule-based reasoning operates on or across objects. The American Concrete Institute manual of concrete practice was chosen as the main source of knowledge. Other textual sources were also consulted for knowledge acquisition. The major objectives of the research were acquisition and formalization of the relevant knowledge and building an expert system for making durable concrete for chemical exposure regarding sulfate attack, acid attack, seawater attack and carbonation. Similar to most expert systems, this system has explanation facilities, can be incrementally expanded, and has an easy to understand knowledge base. The performance of the system is demonstrated by an example session. The system is user-friendly and can be used as an educational tool.

• Proceedings of the KIEE Conference
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• 1991.07a
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• pp.337-340
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• 1991

The most difficult, time-consuming, and expensive task in building an ES (Expert System) is constructing and debugging its knowledge base. Our goals are to eliminate the knowledge-acquisition bottle-neck for ES creation in data rich situations and to make an ANN (Artificial Neural Network) model behave as much as possible like an ES. The ANN ES has many benifits: Once it has been learned, inference time is very short. It can provide a reasonable conclusion for insufficient input data. But it has also several demerits : Learning time is too long to converge. We cannot guarantee the convergence of its weights. We introduce an ANN ES model which makes most of its benefits and compensates its shortcomings.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.4 no.3
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• pp.1-22
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• 2009

A firm's competitive capabilities become greater when the firm has a specific knowledge. There are many studies have been examined how to accumulate the firm specific knowledge and to get the competitive capability on the various perspectives. This study suggest that the conceptual framework on the absorptive capability through reviews on the knowledge management theory. And it also suggests that the proposition about the technological capability building process through the in depth case study on a small and medium sized company in a LCD industry. This study found the following major characteristics about the absorptive capability building and knowledge creating process. First, it is required to building an absorptive capability rapidly that the harmony of local capabilities, integrative capabilities, and intensity of effort. And the most important factor is the intensity of effort in a small and medium sized firm with a weak knowledge base. Second, it is required to develop an innovative new product that the utilization of expeditious learning mechanism based on the exploration and exploitation process. Finally, complementary assets are needed to proactive exploration and exploitation. Based on the findings, the theoretical and managerial implications are derives and the further research directions are proposed.

• 한국벤처창업학회:학술대회논문집
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• 2009.08a
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• pp.67-88
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• 2009

A firm's competitive capabilities become greater when the firm has a specific knowledge. There are many studies have been examined how to accumulate the firm specific knowledge and to get the competitive capability on the various perspectives. This study suggest that the conceptual framework on the absorptive capability through reviews on the knowledge management theory. And it also suggests that the proposition about the technological capability building process through the in depth case study on a small and medium sized company in a LCD industry. This study found the following major characteristics about the absorptive capability building and knowledge creating process. First, it is required to building an absorptive capability rapidly that the harmony of local capabilities, integrative capabilities, and intensity of effort. And the most important factor is the intensity of effort in a small and medium sized firm with a weak knowledge base. Second, it is required to develop an innovative new product that the utilization of expeditious learning mechanism based on the exploration and exploitation process. Finally, complementary assets are needed to proactive exploration and exploitation. Based on the findings, the theoretical and managerial implications are derives and the further research directions are proposed.

• Computational Structural Engineering
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• v.1 no.1
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• pp.95-102
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• 1988

I-BUILDS is the building design expert system conceptually modeled for synthesizing the conventional CAD programs (BUILDS; an integrated BUILding Desing System) and the knowledge base into an unified system. As a part of the efforts to build this system, this paper presents the conceptual model by which the data items generated by inference are transformed into a formatted input file to be used for several BUILDS subsystems, each of which is assigned to have various computational capabilities and to perform specialized task.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2009.05b
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• pp.175-179
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• 2009

Researches of current PMIS(Project Management Information System) information searching focus on providing personalized results as well as matching needed queries in an enormous amount of information. This paper aim at discovering hidden knowledge to provide personalized and inferred search results based on the ontology with categorized concepts and relations among construction data. The current PMIS searching occasionally presents too much redundant information or offers no matching results from large volumes of data. In this paper, we propose a service searching system, which becomes aware of users device using iPMIS(Intelligent Program Management Information System). And we design and plant the ontology-based iPMIS, which is aware of the context in its environment.

• Asian Journal of Innovation and Policy
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• v.11 no.1
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• pp.87-109
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• 2022

The study attempts to examine the system-building activities of scientific institutions in developing the Molecular Diagnostic (MDs) Innovation System in India. Scientific Institutions are the precursor of any technological development with their capabilities in generating new ideas. MDs are advanced and accurate diagnostic technology with considerable scope to serve the diagnostic needs and requirements of the healthcare system. We adopted a System framework and analyzed the development of MDs in terms of the Technological Innovation System (TIS) functions, and the systematic challenges are assessed through the System Failure Framework (SFF). Based on the secondary and primary survey of prominent science base actors, the study finds that the role of government is crucial for facilitating technological development within a science base through the mobilization of resources. In India, the MDs technological development gained significant momentum over the last decade with the development of specialized human resources and dedicated research institutes. However, we do find that the innovative capabilities in attaining need-based TIS are sub-optimal owning to the specific diagnostic needs of highly burdened diseases in the society. The system analysis reveals that the TIS functions are underperforming because of the absence of a well-defined funding mechanism and goal-oriented targeted policy regime of the government. Since MDs have a transformative effect on the present healthcare system, we argue that the government has to address the system-based challenges and issues for developing a need-based technological innovation system for MDs in the country.