• Journal of the Korea Society of Computer and Information
• /
• v.15 no.12
• /
• pp.101-108
• /
• 2010

In this paper, how fast and accurate the companies provides exponentially increasing information to the users is the most important in the corporate competitiveness. The enhancement of the retrieval relevance became the important element in enhancing company competitiveness and it is required to provide the services that are beyond simple retrieval service for good quality search service. This paper proposes the effective scheme that enhances retrieval relevance by utilizing registered tag information. By proposed scheme, we can overcome the limitations of retrieval relevance that usual search engines provide. And we compare the proposed scheme with existing web retrieval service on retrieval relevance evaluation and related search keyword.

• Journal of Information Science Theory and Practice
• /
• v.10 no.1
• /
• pp.45-58
• /
• 2022

Community enterprise plays an important role for developing local business. Products from local communities apply local specialties such as high-quality materials and inherited wisdom. This work aims to support merchandises from local community enterprises by bringing out their specialties related to local wisdom and intangible cultural aspects. An ontology is applied to demonstrate the innate information regarding the implicit values of the products and is used as a core for a semantic search system. Details of the products are gathered from their respective community using an interview method and are extracted to align with the developed ontological schema. The semantic search system thus is implemented with a recommendation process for online accessibility for providing the organised information. From evaluation, the developed ontology and its instances are rated highly for their consistency, conciseness, and completeness. In usage, accuracy of the query and recommendation results are evaluated at 97.38% searching accuracy and 85.03% for recommending interesting products.

• International Journal of Computer Science & Network Security
• /
• v.21 no.12
• /
• pp.328-334
• /
• 2021

The article examines the economic essence and approaches to determining the efficiency of the enterprise. The author in the study considers the effectiveness and from the standpoint of qualitative analysis of the effectiveness of change and implementation of enterprise development goals. It is established that the tool for ensuring qualitative impacts on the efficiency of the enterprise is the innovative development of the economic space of the enterprise. The article considers the dominant innovations that have influenced the means and methods of production. An organizational and economic mechanism has been recommended to coordinate the costs of innovation activities in order to ensure the efficiency of enterprises. The object of management in the organizational and economic mechanism is the innovation process in the enterprise: from the design of strategic goals of innovation, search and commercialization of innovations, to building and implementing innovation potential. The efficiency of the enterprise under the condition of realization of innovative potential will be characterized by steady competitive advantages and strategically-oriented behavior in the market.

• Journal of information and communication convergence engineering
• /
• v.21 no.2
• /
• pp.117-129
• /
• 2023

High-utility itemset mining (HIUM) has emerged as a key data-mining paradigm for object-of-interest identification and recommendation systems that serve as frequent itemset identification tools, product or service recommendation systems, etc. Recently, it has gained widespread attention owing to its increasing role in business intelligence, top-N recommendation, and other enterprise solutions. Despite the increasing significance and the inability to provide swift and more accurate predictions, most at-hand solutions, including frequent itemset mining, HUIM, and high average- and fast high-utility itemset mining, are limited to coping with real-time enterprise demands. Moreover, complex computations and high memory exhaustion limit their scalability as enterprise solutions. To address these limitations, this study proposes a model to extract high-utility frequent closed itemsets based on an improved cumulative summary list structure (CSLFC-HUIM) to reduce an optimal set of candidate items in the search space. Moreover, it employs the lift score as the minimum threshold, called the cumulative utility threshold, to prune the search space optimal set of itemsets in a nested-list structure that improves computational time, costs, and memory exhaustion. Simulations over different datasets revealed that the proposed CSLFC-HUIM model outperforms other existing methods, such as closed- and frequent closed-HUIM variants, in terms of execution time and memory consumption, making it suitable for different mined items and allied intelligence of business goals.

• The Journal of the Convergence on Culture Technology
• /
• v.9 no.6
• /
• pp.371-388
• /
• 2023

In recent years, the business model innovation of small and medium-sized enterprises has become a hot research issue, and it is also regarded as an important hot issue to promote the transformation and development of small and medium-sized enterprises and promote economic transformation and development. In this study, we analyzes the influence of cross-border search and dynamic capabilities of small and medium-sized enterprises in China on business model innovation. The model of influencing factors is established. After collecting relevant data through questionnaire survey, the model is verified and analyzed. It is verified that for small and medium-sized enterprises in China, dynamic capability and cross-border search have a positive and significant impact on enterprise business model innovation, and dynamic capability plays an intermediary role between cross-border search and enterprise business model innovation. Through this paper, we can give some enlightenment to the business model innovation of small and medium-sized enterprises in China.

• Journal of Information Technology Services
• /
• v.7 no.3
• /
• pp.239-252
• /
• 2008

Since EA includes huge information of a company, it takes long time and high cost for company's employees to search for what they need. We try to make the foundation to solve this problem by using ontology technology based on semantic web. In this paper, we try to verify efficiency of EA ontology by developing ontology for Business Enterprise Architecture(BEA). The purpose of this paper is to develop BEA ontology to provide new information by reasoner and to discover new relations between matadata by using extracted information and data. The EA ontology we developed will provide the new way of access and use for companies. The experience of ontology development will help EA ontology development in various domains. In the future, the development of other EAs which has more information resources will help to solve problems for interoperability between different EAs.

• Proceedings of the Korea Society for Industrial Systems Conference
• /
• 2006.05a
• /
• pp.241-248
• /
• 2006

Web is greatly contributing in providing a variety of information. Especially, as media for the purpose of development and education of human resources, the role of web is important. Furthermore, E-Learning through web plays an important role for each enterprise and an educational institution. Also, above all, fast and various searches are required in order to manage and search a great number of educational contents in web. Therefore, most of present information is composed in HTML, so there are lots of restrictions. As a solution to such restriction, XML a standard of Web document, and its various search functions is being extended and studied variously. This paper proposes a search system able to search XML in E-Learning or var ious contents of non-XML using mobile device PDA.

• Korean Journal of Computational Design and Engineering
• /
• v.6 no.4
• /
• pp.229-235
• /
• 2001

As the networks (i.e., intranet and internet) proliferate all over the world, it is inevitable to move some (or all) of the enterprise activities into virtual spaces. Differently from business data, product data have complex semantics and thus are not properly exchanged among different application programs. Even though some neutral formats of product data have been developed by standard organizations, exchanging them among various application programs still needs the comprehensive understanding of the complex semantics. Recently, it is widely recognized that capturing more knowledge is the next step to overcome the current difficulties on sharing product data. In this paper, we utilize the ontology concept in order to facilitate information search far product data in the internet environment. A prototype of search system implemented using the ontology for automobile product data is presented.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2006.05a
• /
• pp.639-640
• /
• 2006

Many companies in mechanical engineering fields have accumulated information of design and manufacturing. The Enterprise Resource Planning (ERP) and Product Data Management (PDM) systems help information gathering and data managing. However, these systems are not flexible to support suitable functionality for specific product because these systems deal with entire enterprise resources. To cope with this issue, a web-based design support system was constructed for the design process of automotive steel pulley. This system provided 1) search service for part design with key word and clustering map, and 2) estimation service of maximum stress. These services reduced design time by reducing iterative jobs with Computer Aided Design (CAD) and Computer Aided Engineering (CAE) for stress analysis, and by enhancing search for existing data of steel pulley.

• Journal of Digital Convergence
• /
• v.17 no.9
• /
• pp.147-152
• /
• 2019

Infrastructure is rapidly growing as Internet business grows with the latest IT technologies such as IoT, BigData, and AI. However, in most companies, a limited number of people need to manage a lot of hardware and software. Therefore, Polestar Enterprise Management System(PEMS) is applied to monitor the system operation status, IT service and key KPI monitoring. Real-time monitor screening prevents system malfunctions and quick response. With PEMS, you can see configuration information related to IT hardware and software at a glance, and monitor performance throughout the entire end-to-end period to see when problems occur in real time.