• 정보처리학회논문지D
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• 제19D권4호
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• pp.271-280
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• 2012

현재 소셜 네트워크 서비스(Social Network Service: SNS)의 이용자 수가 늘어나면서 SNS에서 생성되는 콘텐츠 데이터의 양도 기하급수적으로 늘어나고 있다. 이러한 SNS는 개인의 근황, 관심사를 전달하기 위해 사용하고, 친목도모, 엔터테인먼트, 제품 마케팅, 최신 뉴스 공유, 1인 미디어 등 다양한 목적으로 활용하고 있다. SNS가 스마트폰에서 사용 가능해지면서 사용자들은 언제, 어디서나 실시간으로 사회의 주요쟁점이나 사회구성원들의 주 관심사와 같은 콘텐츠를 기존 미디어 매체보다 빠르게 생성하고 확산시킨다. 기존 웹 콘텐츠 색인 기법은 색인대상이 다양하고 정확성에 중점을 두어 색인하므로 실시간으로 대량 생성되는 SNS 콘텐츠를 색인하는 기법으로 한계가 있다. 이러한 문제를 해결하기 위하여 관계형 DBMS기반 실시간 색인 기법이 있으나 색인대상의 축소와 색인 절차의 복잡성이 높다는 단점이 있다. 따라서 본 논문에서는 실시간으로 생성된 SNS콘텐츠를 색인하기 위하여 NoSQL기반 SNS 콘텐츠 생성시간과 키워드를 각각 색인하는 TK-Indexing 기법을 제안하여 기존 색인 기법의 복잡성을 개선한다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권5호
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• pp.2211-2232
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• 2018

The unstructured and semi-structured big data in social network poses new challenges in query retrieval. This requirement needs to be met by introducing quality retrieval time measures like indexing. Due to the huge volume of data storage, there originate the need for efficient index algorithms to promote query processing. However, conventional algorithms fail to index the huge amount of frequently obtained information in real time and fall short of providing scalable indexing service. In this paper, a new LIndex algorithm, which is a heuristic on Lucene is built on Neo4jHA architecture that holds the social network Big data. LIndex is a flexible and simplified adaptive indexing scheme that ascendancy decomposed shortest paths around term neighbors as basic indexing unit. This newfangled index proves to be effectual in query space pruning of graph database Neo4j, scalable in index construction and deployment. A graph query is processed and optimized beyond the traditional Lucene in a time-based manner to a more efficient path method in LIndex. This advanced algorithm significantly reduces query fetch without compromising the quality of results in time. The experiments are conducted to confirm the efficiency of the proposed query retrieval in Neo4j graph NoSQL database.

• 정보관리학회지
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• 제27권2호
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• pp.225-239
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• 2010

본 연구는 이용자 협력에 의한 소셜 태깅(social tagging)이 웹 자원을 위한 디지털 지식 생성에 활용될 수 있으며, 태깅의 양질성(quality)과 효율성이 실증적으로 증명될 수 있는가를 다루었다. 이 논고는 특별히 소셜 태깅의 색인 일관성(indexing consistency)을 평가하고 전문가들의 색인 일관성과 비교하여 분석하였다. 많은 수의 색인자들 간의 색인 일관성을 측정하기 위해 벡터 공간 모델(Vector Space Model)에 기반한 두 가지의 유사성 측정 공식을 사용하였다. 본 연구는 웹자원 관리에 있어서 소셜 태깅의 활용성 증진에 공헌하며, 디지털 도서관 환경에서 새롭게 생성되는 자료들에 대한 보다 적합한 어휘를 개발하는 데에 있어 소셜 지식을 적극적으로 수용할 필요가 있다고 주장한다. 또한 두 가지 공식에 의한 비교분석은 두 공식에서의 비슷한 색인 경향을 보여주면서 보다 신뢰적인 결과를 제공하였다.

• 한국문헌정보학회지
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• 제43권1호
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• pp.189-214
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• 2009

본 연구에서는 정기간행물 기사색인 서비스의 정보자원으로서의 중요성을 인식하고, 포커스 그룹 인터뷰를 통해 이용자의 정기간행물 기사색인 서비스에 대한 요구사항과 국내외 정기간행물 기사색인 서비스 분석하였다. 이러한 분석을 통해 본 연구는 국내 정기간행물 기사색인의 방향성으로 이용자에게 심리스(seamless)한 서비스를 제공할 것을 제시하며 이를 위해 협력 기반 기사색인 구축, 공유, 검색 시스템의 마련, 표준 메타데이터 구축, 전거파일 구축, 이용자 참여형 서비스 구축, 패싯 기반 다각적 정보탐색 기능 제공, 식별체계 구축 등을 제시하였다.

• 연구윤리
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• 제3권2호
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• pp.19-22
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• 2022

Purpose: The two (SCOPUS and SSCI) are the most reputed indexing databases in the world for social science area, and hence the most preferred by majority of researchers in filling the academia niche that may exist on any research topic This study aims to determine five key strategic tactics that the JIDB (Journal of Industrial Distribution & Business) can use to be indexed by SCOPUS and SSCI, following five main measures as discussed in main texts. Research design, data and methodology: The literature analysis which was selected by this study is appropriate to find out useful texts dataset and this analysis provides adequate evidence for previous literature collection. Results: From the current literature analysis, this study suggests five strategic tactics for JIDB to be a journal indexed in SCOPUS and SSCI. The five tactics are follows: (1) Understanding the Selection Process, (2) Content and Relevance, (3) Finding a Niche Technical Standards, (4) Clarity in Formatting and Structure, and (5) Citations and Publication Considerations. Conclusions: This study concludes that the five discussed tactics are all imperative in aiding the research and if JIDB follows all the select strategies, it will be bound to succeed for indexing in the two databases.

• 한국도서관정보학회지
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• 제2권
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• pp.23-59
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• 1975

Indexes has not devcloped as an independent branch in library science from the beginning, but it has gradually evolved in a clo~eas sociation with catalog and under the direct influence of the development of publishing pro cesses and of the rapid social changes. Historically, index in the West can be traced back to eariler concordance. On the other hand, index in the Bast does not show a continuous development. It started with book catnlog, but other types of indexing were later 'adopted from the West. Indexing in the West and in the East can be summarized as follows: 1) In the West, Taylor considers Gesner's Pandectae was the first index but the Concordance of the Bible in 1247 was the first true index. Indexing method was first established later in 1545 in Gesner's Partitiones which appeared in three volumes. Classified index appeared after Partitions, but alphabetically ordered index was not developed until th eseventeenth century. The pxiodical index of La France S~auante in 1683 proved -its value, and Poole's An Alphabetical Index in the nineteenth century became the turning point in the development of indexing. After Poole's Index appeared periodical index and book catalog gradually began to be treated separately, and subject index and cross reference were incorporated into indexing. Also dictionary arrangement of the indexed items was adopted in the second half of the nincteenth, century after Charles A. Cutter developed his theory of rules for dictionary catalog and systematic studies of indexing were carried out by many scholars. In the twentieth century, index was mainly developed in the United States of America, especially by Wilson publishing Company. The general trend is to move away from the gcncral index to subject index. Also the ncwspapcr indcx such as The Times I~zdcx is 21 landmark in the history cf indcxing. 2) In China, thcs arc somc cvidcnccs that $Bizgluh(&), $ was the first indcx, but unforlunatcly the book itsclf has not been found as yet.

• 한국문헌정보학회지
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• 제12권
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• pp.39-86
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• 1985

The main purpose of the present study is to survey the major iudexing bulletins of national nature in Korea, to define such problem areas as lacunae, duplicates and limitation in coverage in the indexing services currently available in Korea, and to make some suggestions for action for improving the existing indexing services in the light of general principles and the tradition and constraints unique to Korea. The major findings and conclusions reached at this study are summarised as follows: (A) A new indexing bulletin of general nature covering the entire field needs to be created in each of the following fields without an established indexing service available for the outcome of research and development activities in Korea. (1) Philosophy (2) Religion (3) Pure sciences (4) Art (5) Language (6) Literature (7) History (B) A new specialised indexing bulletin needs to be created in each of the following fields where indexing services are heavily utilised but no, or only partial, indexing service is available. (1) Social sciences (a) Statistics (b) Sociology (c) Folklore (d) Military science (2) Pure sciences (a) Mathematics (b) Physics (c) Chemistry (d) Astronomy (e) Geology (f) Mineralogy (g) Life sciences (h) Botany (i) Zoology (3) Applied sciences (a) Medicine (b) Agriculture (c) Civil engineering (d) Architectural engineering (e) Mechanical engineering (f) Electrical engineering (g) Chemical engineering (h) Domestic science (C) Publication of the indexing bulletins suggested in A and B above may be ideally carried on by a qualified and dependable learned society established in the respective fields and designated by the Minister of Education, and should be financially supported from the public fund under the provisions of Art. 27 of the Scientific Research Promotion Act of 1979. (D) The coverage and contents of the four indexing bulletins in the field of banking and financing published by the Library of the Bank of Korea are similar and considerably duplicated. It is, therefore, suggested that the four indexing bulletins are combined in one to form a more comprehensive and efficient bibliographical tool in the field and it is further developed into a general guide to the literature produced in the entire field of economics in Korea by gradually expanding its subject coverage. (E) For the similar reasons stated in D, the Index to the Articles on North Korea and the Catalogue of Theses on North Korea, both publisheds by the Ministry of Unification Library, are suggested to make into one. The Index to the Articles of the Selected North Korean Journals and the Index to the Articles of the North Korean Journals in Microfilm Housed in the Ministry of Unification Library, both published by the same Library, are also suggested to be combined in one. (F) The contents of the Catalogue of the Reports Submitted by Government Officials Who Have Travelled Abroad, published by the National Archives are included in the Index to the Information Materials Related to Government Administration, published by the National Archives. The publication of the former is hardly justified. (G) The contents of the Index to Legal Literature published by the Seoul National University Libraries and those of the Law Section of the Index to Scholastic Works published by the National Central Library are nearly identical. One of the two indexes should cease to be published. (H) Though five indexes are being published in the field of political science and four in the field of public administration, their subject coverage is limited. Naturally, these indexes are little usable to many other researchers in the two fields. A comprehensive index covering all the specialised areas in each field needs to be developed on one or all the existing indexes. (I) It is suggested that the Catalogue of the Scholastic Works on Curricula published by the National Central Library expands its subject coverage to become a more usable and effective index to all the researchers in the field of education. (J) The bimonthly Index to Periodical Articles and the specialised index by subject series published by the National Assembly Library, and the Index to Scholastic Works published by the National Central Library are expected to increase their coverage and frequency of publication to be used more effectively and more efficiently by all users in all fields till the indexing bulletins suggested in this study will fully be available in Korea.

• 한국문헌정보학회지
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• 제49권2호
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• pp.291-311
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• 2015

This paper demonstrates the comparative analysis of the similarity and difference between Medical Subject Headings (MeSH) and social tags. Both types of metadata have the same purpose - that is, succinctly abstracting content of a given document - but are created from heterogeneous viewpoints. The former MeSH terms show the aspects of publication related professionals, whereas the latter social tags are from the perspectives of general readers. When both types of metadata are assigned to the same publications, do they consist of different nomenclatures reflecting the heterogeneous viewpoints or are they similar, since both metadata types describe the same publications? Social tags are also compared with family terms of MeSH terms in the given MeSH hierarchy, so as to understand the specificity of social tags, related to MeSH terms. Lastly, given the fact that readers assign social tags in casual ways without any restricted vocabulary, we tested how many social tags contain consumer health terms, which are familiar to laypeople. Through these comparisons, we ultimately aim to examine how much the highly controlled publication index reflects general readers' cognitive understandings and stress the necessity of general readers' involvement in the publication indexing process.

• The Journal of Asian Finance, Economics and Business
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• 제7권10호
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• pp.161-169
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• 2020

The condition of mining companies that exploit natural resources in their business processes underline this research to emphasize on social and environmental issues. After twelve years of government regulation on CSR practices, this study investigates the factors that influence mining companies in disclosing information about corporate social responsibility based on legitimacy, stakeholders, and agency theory. Thus, independent variables are foreign ownership, company size, leverage, and the board of commissioners. The dependent variable is the corporate social reporting disclosure that is measured using GRI indexing. For sampling, we have used thirty-four Indonesian mining companies listed in IDX during the 2014-2018. out of which only fifty-two companies meet the sample criteria. All data should pass the classical assumption test to get the best estimator. Multiple linear regression is used to test the hypothesis, and the results show that the model is good, and can explain 60% of the dependent variable. Based on F-test, all four variables affect CSR practices simultaneously. The findings of this study suggest that foreign ownership and firm size influences CSR disclosure in a positive direction. However, this study did not support the hypothesis that leverage negatively affects CSR disclosure and board size measures positively affect CSR disclosure.

• 디지털산업정보학회논문지
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• 제14권4호
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• pp.35-45
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• 2018

Users are sharing many of contents such as text, image, video, and so on in SNS. There are various information as like as personal interesting, opinion, and relationship in social media contents. Therefore, many of recommendation systems or search systems are being developed through analysis of social media contents. In order to extract subject-related topics of social context being collected from social media channels in developing those system, it is necessary to develop ontologies for semantic analysis. However, it is difficult to develop formal ontology because social media contents have the characteristics of non-formal data. Therefore, we develop a social topic system based on semantic and subject correlation. First of all, an extracting system of social topic based on semantic relationship analyzes semantic correlation and then extracts topics expressing semantic information of corresponding social context. Because the possibility of developing formal ontology expressing fully semantic information of various areas is limited, we develop a self-extensible architecture of ontology for semantic correlation. And then, a classifier of social contents and feed back classifies equivalent subject's social contents and feedbacks for extracting social topics according semantic correlation. The result of analyzing social contents and feedbacks extracts subject keyword, and index by measuring the degree of association based on social topic's semantic correlation. Deep Learning is applied into the process of indexing for improving accuracy and performance of mapping analysis of subject's extracting and semantic correlation. We expect that proposed system provides customized contents for users as well as optimized searching results because of analyzing semantic and subject correlation.