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Collection/item metadata relationships
Wickett, Karen M.
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https://hdl.handle.net/2142/42198
Description
- Title
- Collection/item metadata relationships
- Author(s)
- Wickett, Karen M.
- Issue Date
- 2012-12
- Director of Research (if dissertation) or Advisor (if thesis)
- Renear, Allen H.
- Doctoral Committee Chair(s)
- Renear, Allen H.
- Committee Member(s)
- Palmer, Carole L.
- Dubin, David
- Furner, Jonathan
- Department of Study
- Library & Information Science
- Discipline
- Library & Information Science
- Degree Granting Institution
- University of Illinois at Urbana-Champaign
- Degree Name
- Ph.D.
- Degree Level
- Dissertation
- Date of Ingest
- 2013-02-03T19:27:38Z
- Keyword(s)
- Metadata
- Information organization
- Collections
- Digital libraries
- Abstract
- In information organization systems, metadata is often attached to both collections and items. Collection metadata and item metadata are related: one can infer facts about items from descriptions of collections, and facts about collections from descriptions of items. This sort of reasoning, which is important to finding, understanding, and using information, is guided by specific, if usually only implicit, inference rules. This dissertation explores the general nature of these rules and develops a logic-based framework of categories for collection/item metadata rules. The resulting framework has 28 rule categories related by two logical relationships. This framework has practical applications in metadata vocabulary development, metadata-enabled search and retrieval, and metadata quality and completeness. A number of foundational questions are also discussed, including the ontological nature of collections, the logic of the collection membership relationship, the semantic and logical nature of collection/item inference rules, and difficulties in the translation of colloquial metadata records into a logic-based knowledge representation language.
- Graduation Semester
- 2012-12
- Permalink
- http://hdl.handle.net/2142/42198
- Copyright and License Information
- Copyright 2012 Karen M. Wickett
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Dissertations and Theses - Information Sciences
Dissertations and theses from the School of Information SciencesGraduate Dissertations and Theses at Illinois PRIMARY
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