• Journal of the Korean Society for information Management
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• v.27 no.2
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• pp.7-20
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• 2010

This study aims to provide a method of extracting the most recent information on US patent documents. An HTML paring technique that can directly connect to the US Patent and Trademark Office (USPTO) Web page is adopted. After obtaining a list of 50 documents through a keyword searching method, this study suggested an algorithm, using HTML parsing techniques, which can extract a patent number, an applicant, and the US patent class information. The study also revealed an algorithm by which we can extract both patents and subsequent patents using their closely connected relationship, that is a very distinctive characteristic of US patent documents. Although the proposed method has several limitations, it can supplement existing databases effectively in terms of timeliness and comprehensiveness.

• Economic and Environmental Geology
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• v.49 no.1
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• pp.53-61
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• 2016

The lifestyle of human's lives in the current society, it requires a tremendous amount of energy. In the recently, the international community has been progressing the energy technology revolution to combat the resource depletion, energy security and global warming. According to the academic literature to the low-carbon energy(2001~2015) by the program of 'Web of Science', the research activities of 869 papers are to be closely related to low-carbon energy. International joint research on low-carbon energy technologies was mostly conducted by the research center of the United Kingdom, China, the United States, the Netherlands and Japan.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2017.10a
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• pp.146-147
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• 2017

Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

• KIISE Transactions on Computing Practices
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• v.21 no.10
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• pp.623-630
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• 2015

In this paper, the design and implementation of an automatic reference-citation-mark attachment system are introduced. The system automatically attaches a citation mark to the end of a sentence in a technical document if the corresponding statement has a high similarity to another statement in the same document; simultaneously, the corresponding bibliographic data is automatically created from the cited-document information. In accordance with functional specifications, a Web-based, online service model and the development of its prototype system are proposed. The developed system can help in the elimination of unexpected plagiarism issues, and will alleviate the burdens of reference citation and reference-list creation for technical writers.

• The KIPS Transactions:PartD
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• v.16D no.5
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• pp.817-824
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• 2009

In recent years, Weblog has become the most typical social media for citizens to share their opinions. And, many Weblogs reflect several social issues. There are many internet users who actively express their opinions for internet news or Weblog articles through the replying comments on online community. Hence, we can easily find internet blogs including more than 10 thousand replying comments. It is hard to search and explore useful messages on weblogs since most of weblog systems show articles and their comments to the form of sequential list. In this paper, we propose a visualizing and clustering system called TRIB (Telescope for Responding comments for Internet Blog) for a large set of responding comments for a Weblog article. TRIB clusters and visualizes the replying comments considering their contents using pre-defined user dictionary. Also, TRIB provides various personalized views considering the interests of users. To show the usefulness of TRIB, we conducted some experiments, concerning the clustering and visualizing capabilities of TRIB, with articles that have more than 1,000 comments.

• Journal of the Korean Society for Library and Information Science
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• v.32 no.3
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• pp.143-156
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• 1998

This paper reports the GEM (Gateway to Educational Materials) project whose goal is to develop an operational framework to provide the K-12 teachers in the world with 'one-stop/any-stop' access to thousands of lesson plans, curriculum units and other Internet-based educational resources. To the IS-element Dublin Core base package, the GEM project added an 8-element, domain-specific GEM package. The GEM project employed the conceptual data modeling approach to designing the GEM database, used the Sybase relational database management system (RDBMS) to construct the backend database for storing the metadata of educational resources, and also employed the active server page (ASP) technology to provide Web interfaces to that database. The consortium members catalog lesson plans and other Internet-based educational resources using a cataloging module program that produces HTML meta tags. A harvest program collects these meta tags across the Internet and outputs an ASCII file that conforms to the standard agreed by the consortium members. A parser program processes this file to enter meta tags automatically into appropriate relational tables in the Sybase database. The conceptual/logical schemas of Dublin Core and GEM profile are presented. The advantages of conceptual modeling approach to manage metadata are discussed. A prototype system that provides access to the GEM metadata is available at http://lis.skku.ac.kr/gem/.

• Journal of Information Management
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• v.41 no.4
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• pp.141-163
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• 2010

It's getting popularized to collect information connecting web sites with massive information through the internet and advanced search engines. Users can handle digital materials like E-book wherever the internet is available and they will demand digital information increasingly. This study analyzes literature investigation, statistics analyses of the attached library of Kyushu University, drawings and field investigation to suggest a new model of a library which handles traditional paper-formed materials and digital-formed materials at one place with growing importance of digital materials. It results that a library performs a important role like a learning space and functions as a sociocultural communication space. Also it shows that it is required to basically reinvestigate the role of 'space' in the library with a great importance of digital materials. In the hybrid library combined with subjects and reorganized at one place, One-stop services like library materials and manpower can be provided for users staying at the same area.

• KIPS Transactions on Computer and Communication Systems
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• v.3 no.10
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• pp.351-356
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• 2014

Recently, automobile black boxes have evolved to support functionality to transfer videos stored in them into mobile phones via wireless network, from which the videos can be utilized for various purposes. This paper presents a method for automation of traffic violation reports using the automobile black boxes. When a traffic violation is captured by a black box, the proposed method helps a user to transfer the video capturing it into a mobile phone through a simple UI operation. With the video, an HTTP request to report the violation is automatically generated from the mobile phone, and then is transferred to a cyber-report center. We present a prototype system that implements the proposed method, and discuss several issues necessary to apply the method to real-world applications.

• Journal of Intelligence and Information Systems
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• v.13 no.4
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• pp.91-104
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• 2007

Ontology matching technique is one of the most important techniques in the Semantic Web as well as in other areas. Ontology matching algorithm takes two ontologies as input, and finds out the matching relations between the two ontologies by using some parameters in the matching process. Ontology matching is very useful in various areas such as the integration of large-scale ontologies, the implementation of intelligent unified search, and the share of domain knowledge for various applications. In general cases, the performance of ontology matching is estimated by measuring the matching results such as precision and recall regardless of the requirements that came from the matching environment. Therefore, most research focuses on controlling parameters for the optimization of precision and recall separately. In this paper, we focused on the harmony of precision and recall rather than independent performance of each. The purpose of this paper is to propose a methodology that determines parameters for the desired ratio of precision and recall that is appropriate for the requirements of the matching environment.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.35-43
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• 2019

This paper is a study on the improvement of industrial land information system. Status and problems of current industrial land information system is analyzed to establish objectives and methods and direction of improving the system based on our analysis. Since the industrial land information system is using outdated H/W and commercial S/W, there exists problems such as large maintenance cost, difficulty of immediate response for system problems and limited access of searching and providing information. In this paper, the problems of current system is resolved through applying the "e-Government standard framework" and open source S/W. And we suggested application of functions on information link enhancement and visualization through this research. Our research is expected to be applicable for analyzing/designing and developing system improvement in the future.