초록

본 연구에서는 R2RML 방식과 Non-R2RML 방식을 각각 적용하여 RDB를 RDF 온톨로지로 변환한 결과를 비교하였다. RDB 기반의 구조적학술용어사전 데이터베이스인 STNet의 데이터를 대상으로, 변환이 완료된 데이터의 규모, 튜플당 변환에 걸리는 시간, 그리고 질의 응답 속도를 측정하였다. 변환 규모의 평가 결과 Non-R2RML 방식이 더 많은 수의 변환을 하였으며, 표현의 풍부성과 추론 가능성 정도를 높이는 변환을 수행한 것으로 나타났다. 튜플당 변환 시간의 경우 Non-R2RML 방식이 미세하지만 더 빠른 것으로 나타났으며, 질의 응답 속도는 두 방식 모두 300회 이상의 질의 횟수부터는 안정적인 성능을 보이면서 유사한 형태의 속도를 보였다. 측정에 대한 종합적 검토 결과 데이터의 변형이 빈번하고 새로운 데이터의 추가나 데이터들 간의 연결관계가 지속적으로 변화하는 STNet과 같은 동적인 RDB에는 Non-R2RML 방식이 적절한 것으로 평가되었다.

Abstract

This study described the results of converting RDB to RDF ontology by each of R2RML method and Non-R2RML method. This study measured the size of the converted data, the conversion time per each tuple, and the response speed to queries. The STNet, a structured terminology dictionary based on RDB, was served as a test bed for converting to RDF ontology. As a result of the converted data size, Non-R2RML method appeared to be superior to R2RML method on the number of converted triples, including its expressive diversity. For the conversion time per each tuple, Non-R2RML was a little bit more faster than R2RML, but, for the response speed to queries, both methods showed similar response speed and stable performance since more than 300 numbers of queries. On comprehensive examination it is evaluated that Non-R2RML is the more appropriate to convert the dynamic RDB system, such as the STNet in which new data are steadily accumulated, data transformation very often occurred, and relationships between data continuously changed.

초록

이 연구는 우리나라 지자체가 운영하는 통합도서관들을 대상으로 통합검색 서비스의 기능적 특성을 분석하는 것을 목적으로 한다. 분석대상은 서울시의 25개 지자체에서 운영하는 통합도서관들이며, 분석항목은 통합검색과 관련된 12가지 영역의 서비스 기능들로 선택하였다. 연구의 결과는 다음과 같다. 첫째, 통합도서관은 자치구 내 공공도서관과 작은도서관의 연합체이며, 통합검색 서비스를 제공하고 있다. 제공되는 통합검색 서비스의 기능, 서지정보의 항목과 패싯의 유형이 다양하지 못하다. 둘째, 검색결과의 레코드는 타이틀 형식이 아니라, 대부분 아이템 형식이었다. 셋째, 도서정보를 보완하는 보강정보는 책에 대한 소개와 연관정보, 책과 관련된 키워드, 대출관련 정보 등으로 구성된다. 넷째, 통합검색이 디스커버리형 검색보다, 통합목록DB를 기반으로 하는 통합OPAC의 형태를 나타내고 있다. 자치구 내 공공도서관이나 작은도서관들에 분산되어 있는 소장목록DB들에 대한 통합검색을 제공하는데 집중하고 있다. 다섯째, 대부분의 통합도서관은 유사한 서비스 형태를 제공한다. 이 결과를 바탕으로 국내 공공도서관들이 디스커버리형 통합검색 서비스를 기대할 수 있는 개선방안을 제안하였다.

Abstract

The purpose of this study is to analyze the characteristics of the integrated search services for integrated libraries operated by local governments in Korea. The target of analysis was integrated libraries operated by 25 local governments in Seoul, and the analysis elements were selected from service functions in 12 areas related to integrated search. The results of the study are as follows. First, the integrated library is an association of public libraries and small libraries in autonomous districts and provides integrated search services. The provided integrated search service function, types of bibliographic information, and facets are not diverse. Second, the records in the search results were mostly item types, not title types. Third, enrichment information supplementing book information consists of book introductions, related information, book-related keywords, and loan-related information. Fourth, integrated search shows the form of integrated OPAC based on integrated catalog DB rather than discovery-type search. It concentrates on providing an integrated search for catalog DBs distributed in public libraries or small libraries in the autonomous district. Fifth, most integrated libraries provide similar service types. Based on these results, improvement plans were proposed for domestic public libraries to expect discovery-type integrated search services.

초록

기존의 연구자 유형 구분 모델은 대부분 연구성과 지표를 활용해왔다. 이 연구에서는 인용 영향력이 공동연구와 관련이 있다는 점을 감안하여 인용 데이터를 활용하지 않고 공동연구 지표만으로 연구자 유형을 분석하는 새로운 방법을 모색해보았다. 공동연구 패턴과 공동연구 범위를 기준으로 연구자를 Sparse & Wide (SW) 유형, Dense & Wide (DW) 유형, Dense & Narrow (DN) 유형, Sparse & Narrow (SN) 유형의 4가지로 구분하는 모델을 제안하였다. 제안된 모델을 양자계측 분야에 적용해본 결과, 구분된 연구자 유형별로 인용지표와 공저 네트워크 지표에 차이가 있음이 통계적으로 검증되었다. 이 연구에서 제시한 공동연구 특성에 따른 연구자 유형 구분 모델은 인용정보를 필요로 하지 않으므로 연구관리 정책과 연구지원서비스 측면에서 폭넓게 활용할 수 있을 것으로 기대된다.

Abstract

Traditional models for categorizing researcher types have mostly utilized research output metrics. This study proposes a new model that classifies researchers based on the characteristics of research collaboration. The model uses only research collaboration indicators and does not rely on citation data, taking into account that citation impact is related to collaborative research. The model categorizes researchers into four types based on their collaborative research pattern and scope: Sparse & Wide (SW) type, Dense & Wide (DW) type, Dense & Narrow (DN) type, Sparse & Narrow (SN) type. When applied to the quantum metrology field, the proposed model was statistically verified to show differences in citation indicators and co-author network indicators according to the classified researcher types. The proposed researcher type classification model does not require citation information. Therefore, it is expected to be widely used in research management policies and research support services.

초록

This study proposes the analysis method in sentence semantics that can be automatically identified and processed as appropriate items in the system according to the composition of the sentences contained in the data corresponding to the logical semantic structure metadata of the research papers. In order to achieve the purpose, the structure of sentences corresponding to ‘Research Objectives’ and ‘Research Outcomes’ among the semantic structure metadata was analyzed based on the number of words, the link word types, the role of many-appeared words in sentences, and the end types of a word. As a result of this study, the number of words in the sentences was 38 in ‘Research Objectives’ and 212 in ‘Research Outcomes’. The link word types in ‘Research Objectives’ were occurred in the order such as Causality, Sequence, Equivalence, In-other-word/Summary relation, and the link word types in ‘Research Outcomes’ were appeared in the order such as Causality, Equivalence, Sequence, In-other-word/Summary relation. Analysis target words like ‘역할(Role)’, ‘요인(Factor)’ and ‘관계(Relation)’ played a similar role in both purpose and result part, but the role of ‘연구(Study)’ was little different. Finally, the verb endings in sentences were appeared many times such as ‘∼고자’, ‘∼였다’ in ‘Research Objectives’, and ‘∼었다’, ‘∼있다’, ‘∼였다’ in ‘Research Outcomes’. This study is significant as a fundamental research that can be utilized to automatically identify and input the metadata element reflecting the common logical semantics of research papers in order to support researchers’ scholarly sensemaking.

Abstract

초록

본 연구의 목적은 국내 학술논문 데이터베이스에서 검색한 언어 네트워크 분석 관련 53편의 국내 학술논문들을 대상으로 하는 내용분석을 통해, 언어 네트워크 분석 방법의 기초적인 체계를 파악하기 위한 것이다. 내용분석의 범주는 분석대상의 언어 텍스트 유형, 키워드 선정 방법, 동시출현관계의 파악 방법, 네트워크의 구성 방법, 네트워크 분석도구와 분석지표의 유형이다. 분석결과로 나타난 주요 특성은 다음과 같다. 첫째, 학술논문과 인터뷰 자료를 분석대상의 언어 텍스트로 많이 사용하고 있다. 둘째, 키워드는 주로 텍스트의 본문에서 추출한 단어의 출현빈도를 사용하여 선정하고 있다. 셋째, 키워드 간 관계의 파악은 거의 동시출현빈도를 사용하고 있다. 넷째, 언어 네트워크는 단수의 네트워크보다 복수의 네트워크를 구성하고 있다. 다섯째, 네트워크 분석을 위해 NetMiner, UCINET/NetDraw, NodeXL, Pajek 등을 사용하고 있다. 여섯째, 밀도, 중심성, 하위 네트워크 등 다양한 분석지표들을 사용하고 있다. 이러한 특성들은 언어 네트워크 분석 방법의 기초적인 체계를 구성하는 데 활용할 수 있을 것이다.

Abstract

The purpose of this study is to perform content analysis of research articles using the language network analysis method in Korea and catch the basic point of the language network analysis method. Six analytical categories are used for content analysis: types of language text, methods of keyword selection, methods of forming co-occurrence relation, methods of constructing network, network analytic tools and indexes. From the results of content analysis, this study found out various features as follows. The major types of language text are research articles and interview texts. The keywords were selected from words which are extracted from text content. To form co-occurrence relation between keywords, there use the co-occurrence count. The constructed networks are multiple-type networks rather than single-type ones. The network analytic tools such as NetMiner, UCINET/NetDraw, NodeXL, Pajek are used. The major analytic indexes are including density, centralities, sub-networks, etc. These features can be used to form the basis of the language network analysis method.

초록

Abstract

Physicians have information needs related to academic research and clinical practice but encounter difficulties seeking appropriate medical resources and information. The goal of this study is to develop a search system to support Korean physicians’ information needs. To access sources to meet the identified need, in-depth interviews were conducted, and MediSearching, a new search system, was developed accordingly. To verify its usefulness and to obtain users’ suggestions, interviews were conducted and feedback was solicited via collected test searches. The initial set of interviews indicated that physicians’ information needs and search behaviors differed by type of hospital and clinical department. Physicians in university hospitals with a greater need for research materials searched for academic articles, whereas physicians in specialty hospitals or primary care clinics with a stronger need for materials related to clinical practice asked their colleagues for information. Consequently, MediSearching was designed to satisfy both groups’ needs, and the test search provided useful search results compared with existing services. Korean physicians have previously had to repeat their search process on separate sites that provide different services according to type of information and search method. MediSearching may reduce this inconvenience and add documents in various formats and languages.

초록

본 연구는 도서관 현장에서의 요구하는 인력 현황을 살펴보고, 정보조직학 교육의 개선 방안을 모색하기 위하여 정보조직 사서직에서 필요로 하는 역량과 직무 유형을 분석하였다. 미국 도서관의 채용공고 298건을 대상으로 조사․분석한 결과 기존의 자격요건들의 수요가 지속되고 있으며, 새로운 환경 변화를 반영한 표준 및 전자자원 관련 요구가 추가되었음을 확인하였다. 정보조직 직무 유형은 크게 전통적인 정보조직의 특성이 반영된 것과 전자자원, 정보기술의 특성이 반영된 것으로 나눌 수 있었다. 또한 정보조직 교육의 개선을 위하여 전자자원 교육의 확대, 이론과 실습의 조화, 정보기술 활용의 강화, 새로운 교수 방법의 적용을 제안하였다.

Abstract

This study analysed the librarian competencies and job type to identify the present state of required librarians and to suggest the direction for education in the organization of information. As the result of investigation 278 job announcement, the traditional qualifications and the knowledge of new standard and S/W related electronic resources are required. The job type divided between cluster for the traditional demands and cluster for electronic resources and information technology. It proposed the expansion of education related electronic resources and information technology, the balance of theory and practice, and the adoption of new teaching method for education in the organization of information.

초록

Abstract

In this study, pathfinder network analysis has been carried out to identify subject domains of documents which cited articles in the ASIST Proceedings. This represents how articles in the ASIST Proceedings are flowed and used in what subjects areas. For this analysis, 240 documents were selected through a search of the Scopus database. The complete linkage clustering method was used to draw out 16 clusters from 240 documents. Through MDS and pathfinder network analysis, knowledge networks of clusters have been produced. As a result, articles in the ASIST Proceedings relating to knowledge management, bibliometrics, information retrieval and digital libraries have been cited actively by other publications. The most frequent citation flow type of ASIST proceedings was citation from proceedings(ASIST) to reviews(ARIST), via journals, and the most popular subject areas related to documents were bibliometrics.

초록

Abstract

In the current information environment, metadata interoperability has become the predominant way of organizing and managing resources. However, current approaches to metadata interoperability focus on the superficial mapping between labels of metadata elements without considering semantics of each element. This research applied facet analysis to address these difficulties in achieving metadata interoperability. By categorizing metadata elements according to these semantic and functional similarities, this research identified different types of facets: basic, conceptual, and relational. Through these different facets, a faceted framework was constructed to mediate semantic, syntactical, and structural differences across heterogeneous metadata standards.

초록

본 연구의 목적은 이용자의 인지적 특성 중 하나인 성격 유형과 OPAC 탐색 과정에서 나타나는 이용자의 정보 탐색 성향 및 만족도의 관계를 파악하고자 하였다. 본 연구에서는 실험대상자들을 대상으로 KEPTI 에니어그램 검사를 통해 성격 유형을 파악하였고, 데이터는 실험-전 질문지, 태스크A 질문지, 태스크B 질문지, 그리고 실험-후 질문지로 수집되었다. 분석결과, 에니어그램의 힘의 중심에 의한 집단 간에는 탐색의 용이성, 탐색시간, 탐색시간의 충분성, 탐색결과의 유용성, 탐색과정의 쉬움에서 통계적으로 유의한 차이가 나타났고 호니비언 집단 간에는 질의에 대한 친숙성과 흥미에서 통계적으로 유의한 차이가 나타났다.

Abstract

This study examined the relation between personality types and users' searching trait and satisfaction when interacting with OPAC system. In this study, personality type was measured by the KEPTI Enneagram tools. Data was collected through four questionnaires, pre-test, TaskA, TaskB, and post-test survey. The results indicated that there was a statistically significant difference in perceptions on the expected ease of search, completion time, adequacy of search time, usefulness of search results, and performed ease of search within the Three Triads of Enneagram. Also a statistically significant difference was found on familiarity and interest in the selected queries within the Hornivian group.