• Journal of the Economic Geographical Society of Korea
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• v.16 no.1
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• pp.50-70
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• 2013

The creation of new economic paradigm shift in creative economy age have influence on the characteristics of social networks and space, it leads to the formation of new relationship in space depending on social network service development. In this paper, it gives a name to 'social network resource' the power affecting these features and to find the meaning of spatial changes in the economic geography perspectives. 'Social network resource' shows the characteristics of openness, sharing, participation and cooperation, with features of encompassing all the features of local and global characteristics in space. This features are related the meaning of 'trans-locality' and can be found in the case of 'WikiSeoul.com (http:/www.wikiseoul.com)', Seoul's social knowledge sharing web platform. In particular, physical resources, human resources, information resources, and the characteristics of the relationship as a resource features was found and these features appear in space is projected to the space of social relations, it reflects the characteristics of qualitative space regarding social network resource.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.21 no.3
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• pp.139-149
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• 2010

This study determines the implementation status of the improvement being made to Korean university libraries. An e-mail survey was conducted targeting 24 Korean university libraries. Conclusions after analysing the responses of the survey were as follows:(1) 24 university libraries implemented 88 different methods of operating their libraries. In other words each library implemented an average 3.67 different methods operating.(2) Twelve universities initiated their improvement schemes in 2008, ten universities initiated their improvement schemes in 2007, nine universities initiated their improvement schemes in 2005, eight universities initiated their improvement schemes in 2010 and seven universities initiated their improvement schemes in 2009. Most university libraries implemented their improvement after 2005.(3) Most university libraries improvement schemes entailed online tours, special events, personal customized services, and SMS services. We noted that online reference services such as the Wiki Service, Twitter, Facebook, Cyworld were not initiated.

• The Journal of Society for e-Business Studies
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• v.21 no.4
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• pp.1-14
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• 2016

Semantic search is known as a series of activities and techniques to improve the search accuracy by clearly understanding users' search intent without big cognitive efforts. Usually, semantic search engines requires ontology and semantic metadata to analyze user queries. However, building a particular ontology and semantic metadata intended for large amounts of data is a very time-consuming and costly task. This is why commercialization practices of semantic search are insufficient. In order to resolve this problem, we propose a novel semantic search method which takes advantage of our previous semantic tensor space model. Since each term is represented as the 2nd-order 'document-by-concept' tensor (i.e., matrix), and each concept as the 2nd-order 'document-by-term' tensor in the model, our proposed semantic search method does not require to build ontology. Nevertheless, through extensive experiments using the OHSUMED document collection and SCOPUS journal abstract data, we show that our proposed method outperforms the vector space model-based search method.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.285-291
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• 2014

Recently, many researchers have paid attention to the study on generation of new linked data from tables by using linked open data (e.g. RDF, OWL). This paper proposes a new method for such generation of linked data. A pattern-based method intrinsically has a conflict problem among patterns. For instance, several patterns, mapping a single header of a table into different properties of linked data, conflict with each others. Existing studies have sacrificed precision by applying a statistically dominant pattern or have ignored conflicting patterns to increase precision. The proposed method finds appropriate patterns for all headers in a given table by connecting patterns applied to the headers. Experiments using DBPedia and Wikipedia showed results that conflicts of patterns are effectively resolved by the proposed method.

• Journal of The Korean Association of Information Education
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• v.15 no.2
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• pp.179-188
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• 2011

The purpose of this thesis was to implement effective blended PBL(Problem-Based Learning) systems for information communication ethics education. The proposed systems, Online learning and face-to-face classes were systematically combined and Moodle is used for online learning platform. We proposed the use of wikis and blogs not just for creation of knowledge, but as active learning tool to support PBL. In the proposed system, learners used the web 2.0 as a open place to create new knowledge and experience various effects of PBL, such as (1) Improvement of problem solving ability, (2) Understanding of cooperative learning. The blended PBL systems with teaching and learning model were evaluated learners' level of satisfaction and educational achievement in the study of information communication ethics. The result shows that blended PBL learning method is more effective in cultivating consciousness of information communication ethics and showed more higher level of learners' satisfaction and educational achievement than the face-to-face PBL learning method.

• Journal of the Korean Institute of Intelligent Systems
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• v.21 no.1
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• pp.68-79
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• 2011

This paper focuses on the opinion information extraction and analysis system through Web mining that is based on statistics collected from Web contents. That is, users' opinion information which is scattered across several websites can be automatically analyzed and extracted. The system provides the opinion information search service that enables users to search for real-time positive and negative opinions and check their statistics. Also, users can do real-time search and monitoring about other opinion information by putting keywords in the system. Proposing technique proved that the actual performance is excellent by comparison experiment with other techniques. Performance evaluation of function extracting positive/negative opinion information, the performance evaluation applying dynamic window technique and tokenizer technique for multilingual information retrieval, and the performance evaluation of technique extracting exact multilingual phonetic translation are carried out. The experiment with typical movie review sentence and Wikipedia experiment data as object as that applying example is carried out and the result is analyzed.

• Journal of Korean Society of Archives and Records Management
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• v.10 no.2
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• pp.31-52
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• 2010

This study discusses 'Archive 2.0' as a new paradigm for managing and maintaining user-centered archives. A number of characteristics of 'Archive 2.0' which are quite different from established archives, so-called 'Archive 1.0', are explored in three aspects including management, user relation and archivists' role. Furthermore, the study analyzes types of record services and user participations according to applied technologies. For case studies, two wiki-based record services, 'Your Archives' and 'Our Archives', are explored. Based on the theoretical and practical studies, advantages and drawbacks of 'Archive 2.0' are analyzed. As a result, essential elements for establishing 'Archive 2.0' are discussed.

• Journal of the Korean Institute of Intelligent Systems
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• v.25 no.2
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• pp.111-118
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• 2015

Entity linking is to link entity's name mentions occurring in text to corresponding entities within knowledge bases. Since the same entity mention may refer to different entities according to their context, entity linking needs to deal with entity disambiguation. Most recent works on entity disambiguation focus on semantic relatedness between entities and attempt to integrate semantic relatedness with entity prior probabilities and term co-occurrence. To the best of my knowledge, however, it is hard to find studies that analyze and present the pure effects of semantic relatedness on entity disambiguation. From the experimentation on Korean Wikipedia data set, this article empirically evaluates entity disambiguation approaches using semantic relatedness in terms of the following aspects: (1) the difference among semantic relatedness measures such as NGD, PMI, Jaccard, Dice, Simpson, (2) the influence of ambiguities in co-occurring entity mentions' set, and (3) the difference between individual and collective disambiguation approaches.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.24-27
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• 2008

As shown in Wikipedia, tagging or cross-linking through major key-words improves the readability of documents. Recently, the Semantic Web rises the importance of social tagging as a key feature of the Web 2.0 and Tag Cloud has emerged as its crucial phenotype. In this paper we provides an efficient method of automated keyword tagging based on controlled term collection, where the computational complexity of O(mN) - if pattern matching algorithm is used - can be reduced to O(mlogN) - if Information Retrieval is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that IR-based tagging speeds up 5.6 times compared with fast pattern matching algorithm.

• Journal of the Korean Society for Library and Information Science
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• v.52 no.1
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• pp.447-467
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• 2018

Biographical information about people is usually collected and provided by a company or an institute which has a specific standard to select people for service. Recently, user oriented contents service like Wikipedia has started biographical information service, Wikipedia Biography Portal, in which users select people and freely describe about them. This study collected 500 biographical data from three categories of Wikipedia biography portal such as criminals, faculty, and directors. The contents of data from each category were analyzed with the word frequency and the divergence indicator to identify the characteristics of each category. As a result, divergency indicator is effective to represent the differential factors of each category. This study provides word clouds of top 100 word with divergence indicator and top 100 common words of three categories with word frequency as a guide for users to write about a person in these categories and for editors to accept and monitor the biography from users.