• 제목/요약/키워드: bibliographic ontology

Search Result 12, Processing Time 0.03 seconds

A Study of Ontology-based Cataloguing System Using OWL (OWL을 이용한 온톨로지 기반의 목록시스템 설계 연구)

  • 이현실;한성국
    • Journal of the Korean Society for information Management
    • /
    • v.21 no.2
    • /
    • pp.249-267
    • /
    • 2004
  • Although MARC can define the detail cataloguing data, it has complex structures and frameworks to represent bibliographic information. On account of these idiosyncratic features of MARC, XML DTD or RDF/S that supports simple hierarchy of conceptual vocabularies cannot capture MARC formalism effectively. This study implements bibliographic ontology by means of abstracting conceptual relationships between bibliographic vocabularies of MARC. The bibliographic ontology is formalized with OWL that can represent the logical relations between conceptual elements and specify cardinality and property value restrictions. The bibliographic ontology in this study will provide metadata for cataloguing data and resolve compatibility problems between cataloguing systems. And it can also contribute the development of next generation bibliographic information system using semantic Web services.

Extending Bibliographic Information Using Linked Data (링크드 데이터 방식을 통한 서지 정보의 확장에 관한 연구)

  • Park, Zi-Young
    • Journal of the Korean Society for information Management
    • /
    • v.29 no.1
    • /
    • pp.231-251
    • /
    • 2012
  • In this study, Linked Data was used for extending bibliographic data, because Linked Data provides shareable identifiers, data structures, and link information. Linked Data is especially efficient in expanding bibliographic data integrated with bibliographic ontology. Therefore, Linked Data and bibliographic ontologies were analyzed and available Linked Data was suggested. By linking between meta-data schemes, bibliographic data, and authority data, issues for the effective Linked Data sharing were suggested: 1) selecting proper Linked Data for each bibliographic organization, 2) linking between different Linked Data, and 3) developing their own Linked Data for each bibliographic organization.

Implementing Bibliographic Metadata Model for Social Semantic Digital Libraries (시맨틱 디지털도서관 서비스를 위한 서지 온톨로지 구축)

  • Lee, You-Jin;Yang, Sung-Kwon;Song, Min-A;Kim, Hong-Gee
    • Journal of the Korean Society for information Management
    • /
    • v.26 no.1
    • /
    • pp.215-230
    • /
    • 2009
  • We propose semantic model that is possible to apply for the bibliographic metadata of domestic digital library by analysing bibliographic metadata models like MARC, DC, MODS, JeromeDL's metadata model MarcOnt as the representative case of semantic digital library and FRBR model as the conceptual model.

Expanding and Improving FRBR Conceptual Model through FRBRoo (FRBRoo 분석을 통한 FRBR 개념모형의 확장과 개선)

  • Park, Zi-young
    • Journal of the Korean Society for information Management
    • /
    • v.34 no.4
    • /
    • pp.201-225
    • /
    • 2017
  • In this study, based on the analysis of FRBRoo, we tried to propose suggestions to expand and improve the FRBR family conceptual model. FRBRoo is a plug-in ontology of CIDOC CRM with cooperation of museum field. As FRBR family models also revised and integrated into IFLA Library Reference Model, the additional analysis on IFLA LRM was performed. If bibliographic information is required to support the technical and user services of the library, the way to analyze the bibliographic information should be improved in order to cope with the new challenges faced by the library. To do this, time-related event concepts should be reflected in the modeling of bibliographic information. It is also necessary to expand the creation and exchange unit of bibliographic information to smaller units or larger units than legacy bibliographic records. Using FRBRoo as a linkage tool for the sharing of bibliographic information is also suggested.

A Study on Implementation and Applying Relationship Ontology System Using RDF/OWL Object Property (RDF/OWL의 객체속성을 이용한 관계온톨로지 시스템 구축과 활용에 관한 연구)

  • Kang, Hyen-Min
    • Journal of the Korean Society for information Management
    • /
    • v.27 no.4
    • /
    • pp.219-237
    • /
    • 2010
  • This study proposes a 'Bibliographic Universe Relationship Vocabulary'(burv) using the RDF/OWL Object Property under the SPO predicate logic according to the relationship type among all entities of bibliographic universe and implemented a 'relationship ontology system' to establish a new cataloging business domain called 'Relationship Description Cataloging' based on the ontology.

The Impact of an Ontological Knowledge Representation on Information Retrieval: An Evaluation Study of OCLC's FRBR-Based FictionFinder (정보검색에 온톨로지 지식 표현이 미치는 영향에 대한 연구: OCLC의 FRBR기반 FictionFinder의 평가를 중심으로)

  • Cho, Myung-Dae
    • Journal of the Korean Society for information Management
    • /
    • v.25 no.2
    • /
    • pp.183-198
    • /
    • 2008
  • With the purpose of enriching existing catalogues with FRBR, which is the Functional Requirements for Bibliographic Records, in mind, this paper aims to evaluate the impact of bibliographic ontology on the overall system's performance in the field of literature. In doing this, OCLC's FictionFinder(http://fictionfinder.oclc.org) was selected and qualitatively evaluated. In this study 40 university seniors evaluated the following three aspects using the 'transferring thoughts onto paper method': 1) In which ways is this FRBR-aware bibliographical ontology helpful? 2) Are the things which are initially attempted to be helped being helped? 3) Would users seeking one work in particular also see all other related works? In conclusion, this study revealed that, as Cutter claimed in his $2^{nd}$ rule of the library, collocations give added-value to the users and overall ontology provides better interface and usefulness. It also revealed that a system's evaluation with qualitative methodology helped to build full pictures of the system and to grip the information needs of the users when the system is developed. Qualitative evaluations, therefore, could be used as indicators for the evaluation of any information retrieval systems.

Deploying Linked Open Vocabulary (LOV) to Enhance Library Linked Data

  • Oh, Sam Gyun;Yi, Myongho;Jang, Wonghong
    • Journal of Information Science Theory and Practice
    • /
    • v.3 no.2
    • /
    • pp.6-15
    • /
    • 2015
  • Since the advent of Linked Data (LD) as a method for building webs of data, there have been many attempts to apply and implement LD in various settings. Efforts have been made to convert bibliographic data in libraries into Linked Data, thereby generating Library Linked Data (LLD). However, when memory institutions have tried to link their data with external sources based on principles suggested by Tim Berners-Lee, identifying appropriate vocabularies for use in describing their bibliographic data has proved challenging. The objective of this paper is to discuss the potential role of Linked Open Vocabularies (LOV) in providing better access to various open datasets and facilitating effective linking. The paper will also examine the ways in which memory institutions can utilize LOV to enhance the quality of LLD and LLD-based ontology design.

An Identification of the Image Retrieval Domain from the Perspective of Library and Information Science with Author Co-citation and Author Bibliographic Coupling Analyses

  • Yoon, JungWon;Chung, EunKyung;Byun, Jihye
    • Journal of the Korean Society for Library and Information Science
    • /
    • v.49 no.4
    • /
    • pp.99-124
    • /
    • 2015
  • As the improvement of digital technologies increases the use of images from various fields, the domain of image retrieval has evolved and become a growing topic of research in the Library and Information Science field. The purpose of this study is to identify the knowledge structure of the image retrieval domain by using the author co-citation analysis and author bibliographic coupling as analytical tools in order to understand the domain's past and present. The data set for this study is 245 articles with 8,031 cited articles in the field of image retrieval from 1998 to 2013, from the Web of Science citation database. According to the results of author co-citation analysis for the past of the image retrieval domain, our findings demonstrate that the intellectual structure of image retrieval in the LIS field consists of predominantly user-oriented approaches, but also includes some areas influenced by the CBIR area. More specifically, the user-oriented approach contains six specific areas which include image needs, information seeking, image needs and search behavior, image indexing and access, indexing of image collection, and web image search. On the other hand, for CBIR approaches, it contains feature-based image indexing, shape-based indexing, and IR & CBIR. The recent trends of image retrieval based on the results from author bibliographic coupling analysis show that the domain is expanding to emerging areas of medical images, multimedia, ontology- and tag-based indexing which thus reflects a new paradigm of information environment.

The Current State and Challenges of Linked Data in Library Cataloging (편목의 관점에서 본 링크드 데이터: 현황과 과제)

  • Rho, Jee-Hyun
    • Journal of Korean Library and Information Science Society
    • /
    • v.50 no.3
    • /
    • pp.71-95
    • /
    • 2019
  • With high interest in linked data, there are various attempts to accommodate the linked data model in cataloging process. This study intends to discuss how to adopt and make the best use of linked data based bibliographic framework in order to improve the quality of library catalogs and to enhance library services in Korean libraries. To the end, this study focuses on (1) discussion of the meaning of linked data from the library cataloging perspective, (2) tracking best practices for implementing and operating linked data among North American and Europe libraries and bibliographic networks (in detail, constructing various types of ontology, developing linked data model including BIBFRAME and OCLC linked model, and improving retrieval service and interface), and finally (3) exploring problems and the anticipated challenges to transition to the linked data model in Korea. The data for discussion were collected from literature review and case study.

Ontology Construction of Technological Knowledge for R&D Trend Analysis (연구 개발 트렌드 분석을 위한 기술 지식 온톨로지 구축)

  • Hwang, Mi-Nyeong;Lee, Seungwoo;Cho, Minhee;Kim, Soon Young;Choi, Sung-Pil;Jung, Hanmin
    • The Journal of the Korea Contents Association
    • /
    • v.12 no.12
    • /
    • pp.35-45
    • /
    • 2012
  • Researchers and scientists spend huge amount of time in analyzing the previous studies and their results. In order to timely take the advantageous position, they usually analyze various resources such as paper, patents, and Web documents on recent research issues to preoccupy newly emerging technologies. However, it is difficult to select invest-worthy research fields out of huge corpus by using the traditional information search based on keywords and bibliographic information. In this paper, we propose a method for efficient creation, storage, and utilization of semantically relevant information among technologies, products and research agents extracted from 'big data' by using text mining. In order to implement the proposed method, we designed an ontology that creates technological knowledge for semantic web environment based on the relationships extracted by text mining techniques. The ontology was utilized for InSciTe Adaptive, a R&D trends analysis and forecast service which supports the search for the relevant technological knowledge.