THE DESIGN OF A SOCIAL SEMANTIC SEARCH ENGINE - Preserving Archived Collaborative Engineering Knowledge with Ontology Matching

Jörg Brunsmann

Abstract

Private and business related knowledge acquisition is either performed via learning by doing or via human dialogue that includes transmission of social or collaborative questions and answers. Unfortunately it can be a time consuming task to find a trusted friend on the web for private recommendations or to find a qualified expert colleague in a (virtual) organisation for work-related questions or to find a suitable company contact person as a customer. Recently, such social question and answering is conducted with internet based technologies like social search engines which route a question to a appropriate human selected from a social or expert network. However, even if social search engines are involved, it is unlikely that existing social search approaches exploit machine-readable lightweight ontologies that enable classifying, publishing and sharing questions and answers to support subsequent semantic search without human involvement. This paper proposes the combination of semantic web and social search technologies in order to publish and archive social and collaborative generated knowledge for future reuse. Since knowledge classifying vocabularies evolve over time the paper also describes why archived knowledge may become obsolete and how ontology matching methods are used to migrate knowledge to conform to contemporary vocabularies.

References

  1. Brunsmann, J., Wilkes W., 2009. Enabling product design reuse by long-term preservation of engineering knowledge. International Journal of Digital Curation, Vol 4, No 3, 17-28.
  2. Evans B. M., 2009. 3 Flavors of Social Search: What to Expect.http://www.readwriteweb.com/archives/3_flav ors_of_social_search_what_to_expect.php
  3. Evans B. M., Kairam S., Pirolli P., 2009. Do Your Friends Make You Smarter? An Analysis of Social Strategies In Online Information Seeking. Information Processing and Management.
  4. Fricke, M., 2009. The knowledge pyramid: A critique of the dikw hierarchy. Journal of Information Science, 35(2), April 2009, pp.131-142.
  5. Hangal S., MacLean D., Lam, M. S., Heer J., 2010. All Friends are not Equal: Using Weights in Social Graphs to Improve Search. Proceedings of the SIGKDD 4th Workshop on Social Network Mining and Analysis.
  6. Horowitz D., Kamvar, S. D., 2010. The Anatomy of a Large Scale Social Search Engine, WWW 2010 conference.
  7. Kamara J. M., Augenbroe G., Anumba C. J. and Carrillo P. M., 2002. Knowledge management in the architecture, engineering and construction industry, Journal of Construction Innovation, Vol. 2, 53-67.
  8. Lopez, V., Motta, E., Uren, V. and Pasin, M., 2007. AquaLog: An ontology-driven Question Answering System for organizational Semantic intranets, Journal of Web Semantics, 5, 2, pp. 72-105, Elsevier.
  9. Morris, M. R., Teevan, J. Panovich, K., 2010. What do people ask their social networks, and why? A survey study of status message Q&A behavior. In Proceedings of CHI.
  10. Narasimhan, N., 2010. The Evolution of Social Search, http://nityan.wordpress.com/2010/03/30/the-evolutionof-social-search/
  11. Nonaka, I. and Takeuchi, H., 1995. The KnowledgeCreating Company, Oxford University Press.
  12. Pattberg, J.; Fluegge, M., 2007. Towards an Ontology of Collaboration Patterns. In (Adam Pawlak et. al. Eds.): Proceedings of 5th International Workshop on Challenges in Collaborative Engineering (CCE'07), pp.85-95, GI-Edition - Lecture Notes in Informatics.
  13. SHAMAN Project, 2009. SHAMAN Homepage. http://shaman-ip.eu/
  14. Smyth, B., Briggs, P., Coyle, M., O'Mahony, M., 2009. Google Shared. A Case-Study in Social Search. Proceedings of UMAP.
  15. YAHOO, 2010. SearchMonkey documentation, http:// developer.yahoo.com/searchmonkey/smguide/profile_ vocab.html
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Paper Citation


in Harvard Style

Brunsmann J. (2010). THE DESIGN OF A SOCIAL SEMANTIC SEARCH ENGINE - Preserving Archived Collaborative Engineering Knowledge with Ontology Matching . In Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010) ISBN 978-989-8425-29-4, pages 200-205. DOI: 10.5220/0003070402000205


in Bibtex Style

@conference{keod10,
author={Jörg Brunsmann},
title={THE DESIGN OF A SOCIAL SEMANTIC SEARCH ENGINE - Preserving Archived Collaborative Engineering Knowledge with Ontology Matching },
booktitle={Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)},
year={2010},
pages={200-205},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003070402000205},
isbn={978-989-8425-29-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Knowledge Engineering and Ontology Development - Volume 1: KEOD, (IC3K 2010)
TI - THE DESIGN OF A SOCIAL SEMANTIC SEARCH ENGINE - Preserving Archived Collaborative Engineering Knowledge with Ontology Matching
SN - 978-989-8425-29-4
AU - Brunsmann J.
PY - 2010
SP - 200
EP - 205
DO - 10.5220/0003070402000205