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XML Topic Maps
XML Schemas
RDF and TM
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keywords: XML Topic Maps; SVG;
Tabular Topic Maps
Presentation Tabular Topic Maps [ppt] 2003-10-20
This presentation is an overview for the eGovernment:
  • Cogitative Topic Map web sites (CTW) framework
  • Tabular Topic Maps framework
  • Semantic Web Glasses
  • Contextual Topic Map Constraints and Concurrent Characteristics Expressions
Cogitative SVG Visualization of Kodak Digital Camera Accessories Topic Map [demo] 2003-05-06
Presentation Topic Map Solutions for Kodak Digital Camera Accessories [html] [pdf] at XML Europe 2003 Conference. 2003-05-05
This presentation shows how we used Topic Map based solutions to build, organize and maintain Kodak digital cameras accessories web site. The chosen approach did not require software investment. Excel, available and familiar spreadsheet software, served as an affordable and easy to use Topic Map GUI editor and repository.
>Excel worksheets represent different plains of relationships that are completely independent until the processing begins. An initial set of topic map documents is generated from applicable worksheets and by spidering a corpus of XML content files. Topic maps are merged based on the topic naming constraint or subject merging rule. Finally, XSLT drives generation of JHTML server pages, SVG and SQL scripts from Topic Map source code (CTW framework). We also show how we used Topic Map Ontology schema to calculate the difference between two Topic Map documents. This is also XSLT-driven. The difference topic map controls which web pages should be updated, which lowers server load and improves performance.
Because the framework is Topic Map based it was very easy to satisfy new requirements and add new planes of relationships.
Cogitative Topic Map Websites
Presentation BookBuilder: Content Repurposing with Topic Maps [ppt] [abstract] 2003-08-05
This presentation describes a solution developed at Aspen Publishers which uses Topic Maps technology for multidimensional indexing and classification of content across various products and publications. The topic map approach combines all the indexes, tables of contents, glossaries and referenced materials from all books in the series into a single multidimensional index. Using topic map associations, the entries in one book’s index can be related to other entries, as well as to entries in the other books’ indexes, glossaries, tables of contents and so on, as well as to external referenced materials, such as IRS publications or websites. The topic map graph is used for navigation and, most importantly, content repurposing and building new and customized publications.
Presentation Building Adaptive Classificators with Topic Maps at XML'2000 Conference. 2000-12-06
This presentation describes application of Topic Maps concepts to building Adaptive Classifiers. Classification expressed in Topic Maps enables to maintain rich multi - hierarchical indexes and establish vertical and horizontal associations on all levels. The demonstration includes image browser able to represent rich taxonomy of professional graphics. Demo application enables browsing faceted taxonomy of Art images. It accommodates different perspectives via add-hock navigation patterns.

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