Name
Title | ||
|---|---|---|
The elusive tale: leveraging the study of information seeking and knowledge organization to improve access to and discovery of folktales |
Abstract | ||
|---|---|---|
The “Folktales and Facets” project proposes ways to enhance access to folktales—in written and audiovisual formats—through the systematic and rigorous development of user-focused and task-focused models of information representation. Methods used include cognitive task analysis and facet analysis to better understand the information-seeking and information-use practices of people working with folktales and the intellectual dimensions of the domain. Interviews were conducted with 9 informants, representing scholars, storytellers, and teachers who rely on folktales in their professional lives to determine common tasks across user groups. Four tasks were identified: collect, create, instruct, and study. Facet analysis was conducted on the transcripts of these interviews, and a representative set of literature that included subject indexing material and a random stratified set of document surrogates drawn from a collection of folktales, including bibliographic records, introductions, reviews, tables of contents, and bibliographies. Eight facets were identified as most salient for this group of users: agent, association, context, documentation, location, subject, time, and viewpoint. Implications include the need for systems designers to devise methods for harvesting and integrating extant contextual material into search and discovery systems, and to take into account user-desired features in the development of enhanced services for digital repositories. © 2012 Wiley Periodicals, Inc. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1002/asi.21710 | JASIST |
Keywords | Field | DocType |
systems designer,facet analysis,wiley periodicals,elusive tale,audiovisual format,account user-desired feature,extant contextual material,knowledge organization,subject indexing material,random stratified set,rigorous development,cognitive task analysis | Data mining,World Wide Web,Task analysis,Information retrieval,Computer science,Information seeking,Extant taxon,Documentation,Subject indexing,Knowledge organization,Information discovery,Salient | Journal |
Volume | Issue | ISSN |
63 | 4 | 1532-2882 |
Citations | PageRank | References |
5 | 0.51 | 18 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kathryn La Barre | 1 | 169 | 13.01 |
| Carol L. Tilley | 2 | 5 | 0.51 |