Movatterモバイル変換

[0]ホーム
URL:

Skip to main content

Advertisement

Springer Nature Link
Log in

Towards a Knowledge Ecosystem

  • Conference paper

Abstract

People who belong to an organization own common knowledge that, with time, grows, evolves and is transferred from one person to another. As it happens in an ecosystem, each individual has his own work environment and personal goals, but also interacts with others, using common knowledge and contributing to its improvement.

According to this vision, we have created a knowledge management environment equipped with a set of tools to better support cooperation by working along two main directions: the first one relies on establishing a community driven central repository enhanced with Semantic Web technologies, which allows information to be organized according to its semantic structure by exploiting classification, information extraction, and semantic filtering techniques. The second direction relies on enriching users’ everyday work environment – including emails, web browsers, RSS aggregators, and desktops – by providing tools that exploit contextual information, directing more relevant information where it is needed and adding value to the information as it is generated and shared.

The system we describe in this paper on the one hand opens up corporate knowledge even to individuals who are normally unwilling to use a traditional KM system and, on the other hand, makes access much easier to those users who are already willing to share, leading to a healthier knowledge ecosystem which grows through seamless cross fertilization.

This is a preview of subscription content,log in via an institution to check access.

Access this chapter

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Drucker, P.: The Coming of the New Organization. Harvard Business Review (1988)

    Google Scholar 

  2. Cimiano, P., Staab, S.: Learning by Googling. SIGKDD Explorations 6(2), 24–34 (2004)

    Article  Google Scholar 

  3. Curiosity: an xpath based web scraper and push platform,http://www.go-curiosity.com/

  4. Dzbor, M., Domingue, J.B., Motta, E.: Magpie – towards a semantic web browser. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 690–705. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  5. Gilardoni, L., Biasuzzi, C., Ferraro, M., Fonti, R., Slavazza, P.: LKMS – A Legal Knowledge Management System Exploiting Semantic Web Technologies. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 872–886. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  6. Mnemosyne : Legal Knowledge Management System,http://mnemosyne.quinary.com/EN-en/index.html

  7. Herlocker, J., Konstan, J., Borchers, A., Riedl, J.: An Algorithmic Framework for Performing Collaborative Filtering. In: Proceedings of the 1999 Conference on Research and Development in Information Retrieval (August 1999)

    Google Scholar 

  8. Huynh, D., Mazzocchi, S., Karger, D.: Piggy Bank: Experience the Semantic Web Inside Your Web Browser. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 413–430. Springer, Heidelberg (2005)

    Chapter  Google Scholar 

  9. Microformats data formats,http://microformats.org/

  10. Ontoprise GmbH. OntoOffice Tutorial (2003),http://www.ontoprise.de/documents/tutorial_ontooffice.pdf

  11. Ontoprise products suite,http://www.ontoprise.de/content/e1171/index_eng.html

  12. Quan, D., Huynh, D., Karger, D.R.: Haystack: A Platform for Authoring End User Semantic Web Applications. In: Fensel, D., Sycara, K.P., Mylopoulos, J. (eds.) ISWC 2003. LNCS, vol. 2870, pp. 738–753. Springer, Heidelberg (2003)

    Chapter  Google Scholar 

  13. Sauermann, L., Schwarz, S.: Introducing the Gnowsis Semantic Desktop. In: McIlraith, S.A., Plexousakis, D., van Harmelen, F. (eds.) ISWC 2004. LNCS, vol. 3298. Springer, Heidelberg (2004)

    Google Scholar 

  14. Sebastiani, F.: Machine learning in automated text categorization. ACM Computing Surveys 34(1), 147 (2002)

    Article  Google Scholar 

  15. Semantic Mediawiki,http://meta.wikimedia.org/wiki/Semantic_MediaWiki

  16. Tazzoli, R., et al.: Towards a Semantic Wiki Wiki Web. In: ISWC 2004 (2004)

    Google Scholar 

  17. UCINET, Social Network Analysis Software,http://www.analytictech.com/ucinet.htm

  18. Zoë: Intertwingling Your Email,http://zoe.nu/

Download references

Author information

Authors and Affiliations

  1. Quinary SpA, Via Pietrasanta 14, 20141, Milan, Italy

    Piercarlo Slavazza, Roberto Fonti, Massimo Ferraro, Christian Biasuzzi & Luca Gilardoni

Authors
  1. Piercarlo Slavazza

    You can also search for this author inPubMed Google Scholar

  2. Roberto Fonti

    You can also search for this author inPubMed Google Scholar

  3. Massimo Ferraro

    You can also search for this author inPubMed Google Scholar

  4. Christian Biasuzzi

    You can also search for this author inPubMed Google Scholar

  5. Luca Gilardoni

    You can also search for this author inPubMed Google Scholar

Editor information

Editors and Affiliations

  1. Fachbereich Informatik, Universität Koblenz-Landau, Universitätsstraße 1, 56070, Koblenz, Germany

    Steffen Staab

  2. Dept. Information and Knowledge Engineering,, University of Economics, Prague, Winston Churchill Sq. 4, 130 67 Praha 3, Prague, Czech Republic

    Vojtěch Svátek

Rights and permissions

Copyright information

© 2006 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Slavazza, P., Fonti, R., Ferraro, M., Biasuzzi, C., Gilardoni, L. (2006). Towards a Knowledge Ecosystem. In: Staab, S., Svátek, V. (eds) Managing Knowledge in a World of Networks. EKAW 2006. Lecture Notes in Computer Science(), vol 4248. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11891451_33

Download citation

Publish with us

[8]ページ先頭
©2009-2025 Movatter.jp