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Integrating Grep naturfag.no Cappelen Damm

Integrating Grep naturfag.no Cappelen Damm. Reidar Bratsberg <reidar@ravn.no>. Ravn Webveveriet AS, Topic Maps 2008, Oslo, 03.03.2008. Ravn Webveveriet AS. Established 1998 Topic Maps since 2004 10 employees Based in Oslo Projects: Education, E-learning, Information, commercial.

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Integrating Grep naturfag.no Cappelen Damm

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  1. Integrating Grepnaturfag.noCappelen Damm Reidar Bratsberg <reidar@ravn.no> Ravn Webveveriet AS, Topic Maps 2008, Oslo, 03.03.2008

  2. Ravn Webveveriet AS • Established 1998 • Topic Maps since 2004 • 10 employees • Based in Oslo • Projects: Education, E-learning, Information, commercial

  3. Technical overview • Integrating Grep • Real Life • naturfag.no • Cappelen Damm

  4. Technical overview • Web publishing based on Topic Maps • Common framework, storage in topic maps • Metadata + content in the topic map • Front-end built to fit • Built with open-source components

  5. Why Grep?From the developer’s and system owner’s perspective. • Authoritative data from the source • Interoperability • Metadata for the long term • Flexibility through Topic Maps • Service to end users

  6. Integrating Grep

  7. Import • Import XTM 1.0 from Grep • A great use case for Topic Maps • The Topic Maps standard clearly defines the semantics for merging • Item identifiers track imports

  8. Updates? No. • Grep updates published in RSS • We do not follow updates. Yet. • Errors from the publisher (udir) • Changes in Grep directly affects published material • Accidentally deletions could destroy our metadata • Solution: A more complex ontology.

  9. Maintaining metadata • Facilitating metadata registration • Making the authors’ job bearable. • Register metadata at a coarse level first • Inferring metadata for the single learning objects

  10. Using it • Creating rich web applications • Interoperating with others • Exporting Learning Objects (LOM) • Grep: A common vocabulary (PSIs) • “Curriculum centric user experiences”

  11. Real Life

  12. Naturfag.no • One web site, one topic map • Most of Grep not relevant • Metadata-based: Many perspectives to the same content • Grep visible/navigable for the public • Grep adds value to search • LOM export with vocabularies from Grep

  13. Naturfag.no • ~20,000 topics • ~35,000 occurrences • ~60,000 associations • Students’ work data in separate topic maps (in development).

  14. Cappelen Damm • Our largest topic map, and growing... • 250 web sites, one topic map • “Parallel” web sites in other languages (Nynorsk), scope • Simple ontology: Close to the published content • Interactive flash from the topic map • Sharing content across sites

  15. Cappelen Damm • ~300,000 topics • ~500,000 occurrences • ~350,000 associations • ~250 different web sites

  16. Now to the Real Users • Øystein Sørborg, Naturfagsenteret(Norwegian Centre for Science Education) • Kristin Schjødt-Osmo, Cappelen Damm

  17. Thank you

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