- P-ISSN1013-0799
- E-ISSN2586-2073
- KCI
전문색인에 있어서 수작업 색인과 자동색인의 특성
Characteristics of Fulltext Index by Human and Automatic Indexing Systems
Abstract
The purpose of this study is to investigate the characteristics of indexes by human and machine, and differences between them in terms of term identification in a fulltext environment. A back-of-book index and two indexes produced by two term identifiers (LinkIt and Termer) as pseudo-indexing systems for a whole body of a monograph are examined. In the investigation, the traditional contrast between manual and automatic indexing is confirmed in fulltext environment; manual index is for browsing and human use, and automatic index is for searching and machine use. The border between them, however, becomes vague. Some considerations for the use of the term identifiers for browsing and for searching are discussed, and further research for the use of the term identifier is suggested.
- keywords
- index term characteristics, manual index, automatic index, fulltext index, 색인어 특성, 수작업 색인, 자동색인
참고문헌
The American Society of Indexer. The American Society of Indexers: Awards. http://www.asindexing.org/site/awards.shtml.
The American Society of Indexer. The Ame- rican Society of Indexers: Indexing Evalua- tion Checklist: The index is the key to the book. http://www.asindexing.org/site/checklist.shtml.
Anderson, J.D.. (2001). The nature of indexing: how humans and ma- chines analyze messages and texts for retrieval. Part I: Research, and the nature of manual indexing. Information Processing and Management, 37, 231-254.
Anderson, J.D.. (2001). The nature of indexing: how humans and machines analyze messages and texts for retrieval. Part II: Machine indexing, and the allocation of human versus machine effort. Information Processing and Management, 37, 255-277.
East, J. W.. (2005). Subject retrieval of scholarly monographs via electronic databases. Journal of Documentation, 62, 597-605.
Evans, D.K.. A technical Description of the LinkIt System. http://www.columbia.edu/cu/cria/SigTops/LinkITTechDoc/.
Gratch, B.. (1978). Characteristics of book indexes for subject retrieval in the humanities and social sciences. The Indexer, 11, 14-33.
Hert, C.A.. (2000). A usability Assessment of online indexing structures in the networked environment. Journal of the American Society for Information Science, 51, 971-988.
Justeson, J.S.. (1994). Technical terminology: some linguistic properties and an algorithm for identification in text. Na- tural Language Engineering, 1, 9-27.
Lancaster, F.W.. (1998). Indexing and Abstracting in Theory and Practice. Champaign, IL: Uni- versity of Illinois:Graduate School of Library and Information Science.
Lathrop, L.M.. (2008). Quality and usability in indexes (-). In Annual Conference Proceedings Society for Tech- nical Communication.
Milstead, J.L.. (1994). Needs for research in indexing. Journal of the American Society for Infor- mation Science, 45, 577-582.
Rasmussen, E.M.. (1994). Indexing and retrieval from full-text in: Challenges in Indexing Electronic Text and Images:Learned Information. Inc..
Rice, R.E.. (2001). Accessing and Browsing Information and Communication: An Interdisciplinary App- roach:MIT Press.
Sparck-Jones, K.. (1973). Does indexing exhaustivity matter?. Journal of the American Society for Information Science, 24, 313-316.
Wacholder, N.. (1998). Simplex NPs clustered by head: A method for identifying significant topics within a document (70-79). Proceedings of the Workshop on the Computational Treatment of Nominals (COLING-ACL ’98).
Wacholder, N.. (2001). Automatic identification and organization of index terms for interactive browsing (126-134). Proceedings of the first ACM/IEEE-CS joint conference on Digital libraries (JCDL ’01).
Wittman, C.. (1990). Subheadings in Award-winning book indexes: a quantitative evaluation. The Indexer, 17, 3-6.
Yang, K.. (2005). Information retrieval on the web. Annual Review of Information Science and Technology, 39, 33-80.
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