Name
Abstract | ||
|---|---|---|
Domain-specific information retrieval normally depends on general search engines, which make no use of domain knowledge and require a user to look at a linear display of loosely organized search results or handcrafted specialized systems with a better browsing interface but which are costly to build and maintain. As an alternative, a Web-based document management and retrieval system has been developed aimed at small communities in specialized domains. The system is based on the free annotation of documents by users and is browsed using the concept lattice of formal concept analysis (FCA). A number of knowledge acquisition techniques were developed to aid the annotation process. Experiments were conducted using the system to assist in finding staff and student home pages at the School of Computer Science and Engineering, University of New South Wales. Results indicated that the annotation tools provided a good level of assistance so that documents were easily organized and a lattice-based browsing structure that evolves in an ad hoc fashion provided good efficiency in retrieval performance. Results also indicated that the concept lattice helped take users beyond a narrow search to find other useful documents. These findings suggest that the concept lattice of FCA, supported by annotation techniques is a useful way of supporting the flexible open management of documents required by individuals, small communities and in specialized domains. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1016/j.ijhcs.2003.10.004 | Int. J. Hum.-Comput. Stud. |
Keywords | Field | DocType |
free annotation,evolutionary document management,annotation technique,annotation process,formal concept analysis,small community,specialized domain,domain-specific information retrieval,concept lattice,annotation tool,general search engine,search engine,computational science and engineering,domain knowledge,information retrieval,document management | World Wide Web,Search engine,Annotation,Domain knowledge,Computer science,Document management system,Knowledge management,Human–computer interaction,Computer Science and Engineering,Formal concept analysis,Knowledge acquisition | Journal |
Volume | Issue | ISSN |
60 | 2 | 1071-5819 |
Citations | PageRank | References |
21 | 0.80 | 32 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mihye Kim | 1 | 74 | 14.31 |
| Paul Compton | 2 | 481 | 44.59 |