• Title/Summary/Keyword: representational systems

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A Study in the Selection Factors of Facility Management(FM) Enterprises Using AHP Analysis (AHP 분석을 활용한 Facility Management(FM) 기업의 선택 요인에 관한 연구)

  • Han, Sanghun;Kim, Seungchul;Park, Sohyun
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.42 no.3
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    • pp.193-205
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    • 2019
  • Looking at recent safety accidents in buildings, most of them due to lack of FM expertise, and this is due to human resources. In each all industry areas, some companies are competitive, representational, and leading in the market through long-term expertise and research in their respective fields. In the field of FM industry, some companies offer core-competencies in internal and external innovative building management through competition with others. However, old custom and old management form still exist in the FM field. However, an old custom and old management system still exist in the FM field; it forces cost-cutting and caused by carelessness in technical development competitiveness and safety measures. The government control by safety inspection and facility inspection through legislation of building management, but the management is still weak as a side of in the facility management section due to inspect sth as a mere formality and submit a paper report. These facts exist different kind of usage of the building have a three-party encounter between a building owner, user, and FM enterprises. In this research identify survey, especially building owner (manager)'s choice perception priority for optional factors to choose FM enterprises. Based on this, FM enterprises will be forced to seek a new dimension for better building management. In this light, the purpose of the research is to shape changes in the FM market culture safely and providing better service in building management and understanding building owner's insight through this research's information.

A Dynamic Management Method for FOAF Using RSS and OLAP cube (RSS와 OLAP 큐브를 이용한 FOAF의 동적 관리 기법)

  • Sohn, Jong-Soo;Chung, In-Jeong
    • Journal of Intelligence and Information Systems
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    • v.17 no.2
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    • pp.39-60
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    • 2011
  • Since the introduction of web 2.0 technology, social network service has been recognized as the foundation of an important future information technology. The advent of web 2.0 has led to the change of content creators. In the existing web, content creators are service providers, whereas they have changed into service users in the recent web. Users share experiences with other users improving contents quality, thereby it has increased the importance of social network. As a result, diverse forms of social network service have been emerged from relations and experiences of users. Social network is a network to construct and express social relations among people who share interests and activities. Today's social network service has not merely confined itself to showing user interactions, but it has also developed into a level in which content generation and evaluation are interacting with each other. As the volume of contents generated from social network service and the number of connections between users have drastically increased, the social network extraction method becomes more complicated. Consequently the following problems for the social network extraction arise. First problem lies in insufficiency of representational power of object in the social network. Second problem is incapability of expressional power in the diverse connections among users. Third problem is the difficulty of creating dynamic change in the social network due to change in user interests. And lastly, lack of method capable of integrating and processing data efficiently in the heterogeneous distributed computing environment. The first and last problems can be solved by using FOAF, a tool for describing ontology-based user profiles for construction of social network. However, solving second and third problems require a novel technology to reflect dynamic change of user interests and relations. In this paper, we propose a novel method to overcome the above problems of existing social network extraction method by applying FOAF (a tool for describing user profiles) and RSS (a literary web work publishing mechanism) to OLAP system in order to dynamically innovate and manage FOAF. We employed data interoperability which is an important characteristic of FOAF in this paper. Next we used RSS to reflect such changes as time flow and user interests. RSS, a tool for literary web work, provides standard vocabulary for distribution at web sites and contents in the form of RDF/XML. In this paper, we collect personal information and relations of users by utilizing FOAF. We also collect user contents by utilizing RSS. Finally, collected data is inserted into the database by star schema. The system we proposed in this paper generates OLAP cube using data in the database. 'Dynamic FOAF Management Algorithm' processes generated OLAP cube. Dynamic FOAF Management Algorithm consists of two functions: one is find_id_interest() and the other is find_relation (). Find_id_interest() is used to extract user interests during the input period, and find-relation() extracts users matching user interests. Finally, the proposed system reconstructs FOAF by reflecting extracted relationships and interests of users. For the justification of the suggested idea, we showed the implemented result together with its analysis. We used C# language and MS-SQL database, and input FOAF and RSS as data collected from livejournal.com. The implemented result shows that foaf : interest of users has reached an average of 19 percent increase for four weeks. In proportion to the increased foaf : interest change, the number of foaf : knows of users has grown an average of 9 percent for four weeks. As we use FOAF and RSS as basic data which have a wide support in web 2.0 and social network service, we have a definite advantage in utilizing user data distributed in the diverse web sites and services regardless of language and types of computer. By using suggested method in this paper, we can provide better services coping with the rapid change of user interests with the automatic application of FOAF.