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Topic Map Presentation Framework: An Approach To Delivering Newspaper Content Over The Web

Paper, was published by Alison Stevenson and Elizabeth Styron at 2006-12-30

This paper will discuss requirements for the online delivery of newspaper content by using a semantic framework.

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This paper will discuss some of the requirements for the successful online delivery of newspaper archive content to users and examine an innovative approach taken to fulfil those requirements by using a semantic framework. This approach is based on the digital library delivery system configured by the New Zealand Electronic Text Centre (NZETC), the working name of which is the Topic Map Presentation Framework (TMPF). It has been developed as a production system at the NZETC since 2002 and is currently used to deliver the Centre’s own growing collection of digital resources, a nationally important website containing more than 40,000 pages and over half­a­million hyperlinks. Since 2005 the NZETC has been working with APEX to further develop the TMPF as means of providing sophisticated access to digitised newspaper archives wherein the semantic navigation of online resources greatly enhances the user experience in digital libraries. Using this approach, an ontology codifies an analysis of the structure and relationships in the domain of newspaper publishing and archiving, including publishers, issues, articles, pages, clippings, places, and dates. Metadata is automatically harvested from the source materials into this conceptual framework, producing a map of the content. This map is then used to present the content online in a meaningful structure.

Authors

Elizabeth Styron

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Elizabeth is author of Topic Map Presentation.. .

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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 ...

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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.

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Alexander Sigel
practical-semantics.com
Topic Maps Lab auf der Cebit 2011
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