- /publications/going_beyond_google
Going Beyond Google: Representation and Retrieval of Information Using Topic Maps
Poster, by Alison Stevenson, Jason Darwin, and Conal Tuohy
External Link: more information
Library collections include increasingly large amounts of digital material. Libraries are digitising parts of their collection to provide wider access to important resources, and born-digital material is being added to collections. Basic text string searching and linear chapter-by-chapter browsing functionality is usually provided but so much more is possible. The implicit linkages and cross-references between books, which occur in all print collections, can be made explicit in a collection of electronic texts. Correctly encoded, they create a framework to provide users with the ability to move horizontally between books and collections by following links between topics. Using this approach the New Zealand Electronic Text Centre (NZETC) has explored and developed an improved means of navigation for its growing online digital library using Topic Map technology. Like a simple back-of book index or a library classification system, a topic map aggregates information to provide binding points from which everything that is known about a given subject can be reached.
Authors
Alison Stevenson
http://www.nzetc.org/tm/scholarly ...
Alison is project leader of New Zealand Electronic Text.. . She is author of Topic Maps and Entity.. , Topic Map Presentation.. , Going Beyond Google:.. , and Ambient Findability and.. .
Jason Darwin
No contact information available.
Jason is involved in New Zealand Electronic Text.. . He is author of Going Beyond Google:.. .
Projects
New Zealand Electronic Text Centre
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NZETC is engaged in an ongoing programme of digitisation and hosts an expanding online library. The standards-based collection is delivered through ...
Visit homepage of New Zealand ...
As a former information scientist, I am fascinated since 1999 by the capabilities for building Topic Maps-based knowledge systems having the potential to augment human mind. One can model arbitrary knowledge organization systems, deal with semantic heterogeneity, collocate all facts about one subject in one logical place, and with TMQL have semantic retrieval on federated semantic networks. Therefore I expect bright prospects for business concepts building on the exchange of such knowledge snippets via semantic knowledge services.