%0 Conference Paper %1 citeulike:543664 %A Zhu, Jianhan %A Eisenstadt, Marc %A Goncalves, Alexandre %A Denhama, Chris %B Proceedings of the Workshop "Semantic Network Analysis" at ISWC 2005 Conference %D 2005 %E Stumme, Gerd %E Hoser, Bettina %E Schmitz, Christoph %E Alani, Harith %K community %P 55--68 %T BuddyFinder-CORDER: Leveraging Social Networks for Matchmaking by Opportunistic Discovery %U http://www.kde.cs.uni-kassel.de/ws/sna2005/SNA05-proc.pdf %X Online social networking tools are extremely popular, but can miss potential discoveries latent in the social ‘fabric’. Matchmaking services can do naive profile matching with old database technology, and modern ontological markup, though powerful, can be onerous at data-input time. In this paper, we present a system called BuddyFinder-CORDER which can automatically produce a ranked list of buddies to match a user’s search requirements specified in a term-based query, even in the absence of stored user-profiles. We integrate an online social networking search tool called BuddyFinder with a text mining method called CORDER to rank a list of online users based on ‘inferred profiles’ of these users in the form of scavenged Web pages.

@inproceedings{citeulike:543664, abstract = {Online social networking tools are extremely popular, but can miss potential discoveries latent in the social ‘fabric’. Matchmaking services can do naive profile matching with old database technology, and modern ontological markup, though powerful, can be onerous at data-input time. In this paper, we present a system called BuddyFinder-CORDER which can automatically produce a ranked list of buddies to match a user’s search requirements specified in a term-based query, even in the absence of stored user-profiles. We integrate an online social networking search tool called BuddyFinder with a text mining method called CORDER to rank a list of online users based on ‘inferred profiles’ of these users in the form of scavenged Web pages.}, added-at = {2006-09-25T12:54:00.000+0200}, author = {Zhu, Jianhan and Eisenstadt, Marc and Goncalves, Alexandre and Denhama, Chris}, biburl = {https://www.bibsonomy.org/bibtex/2733b2dedb3efe2cf640fe92069e0e5a8/grahl}, booktitle = {Proceedings of the Workshop "Semantic Network Analysis" at ISWC 2005 Conference}, citeulike-article-id = {543664}, comment = {The task is to find people with expertises in social networks. "CORDER is based on communities of practice [10], where a group of people are collaborating together on shared tasks, rather than their institutional division. The documents that a group of people produces mirror what people do and who they work with." They identify the shortcomings of: + FOAF (not trustworthy, incomplete) + Ontology for community of practice ONTOCOPI (hard to maintain, out-of-date quickly) and suggest a hybrid appraoch, for which they extend their text mining (i.e. topic identification) method CORDER. CORDER in its original version is based on similarity relations between Named Entities. The extended version with Buddy Names (as Named Entities) and terms. --- Related work for semantic network analysis workshop --- Basic CORDER version in http://www.citeulike.org/user/ldietz/article/548136}, editor = {Stumme, Gerd and Hoser, Bettina and Schmitz, Christoph and Alani, Harith}, interhash = {843c2a422c5c5124659beda4285f44ce}, intrahash = {733b2dedb3efe2cf640fe92069e0e5a8}, keywords = {community}, month = {November}, pages = {55--68}, priority = {0}, timestamp = {2006-09-25T12:54:00.000+0200}, title = {BuddyFinder-CORDER: Leveraging Social Networks for Matchmaking by Opportunistic Discovery}, url = {http://www.kde.cs.uni-kassel.de/ws/sna2005/SNA05-proc.pdf}, year = 2005 }