Abstract: . . .  Universal Description, Discovery and In- tegration (UDDI), www.uddi.org [18] Wroe, C., Stevens, R., Goble, C., Roberts. A., Greenwood, M., A Suite of DAML+OIL Ontologies to Describe Bioinformatics Web Services and Data, 10 Page 11 Intl. Journal of Cooperative Information Systems, to appear. [19] Web Service Description Language (WSDL), http://www.w3.org/TR/wsdl 11  . . .
. . .  andatory = { Name, CreditCardNo, EmailAddress } Optional = Home.Phone 6 Conclusions and Future Work Privacy preferences of a user, define the rules that control the read access for personal in- formation. In related specifications like P3P, privacy preferences are based on URLs of Web sites, as these technologies are mostly intended for Web browsing applications and interactive e-commerce sessions. In this work, a privacy framework for Web services is proposed. Declaring privacy prefer- ences on the basis of a service ontology pre- vents the user from repetitive specifications since the privacy preferences . . .
. . .  [10] ebXML, http://www.ebxml.org/ [11] e-person: Personal Information In- frastructure, http://www.hpl.hp.com/- semweb/e-person.htm [12] Karjoth G., Schunter M., A Privacy Model for Enterprises, 15th IEEE Com- puter Security Foundations Workshop, June 24-26, 2002. [13] A. Kim, L. J. Hoffman, C. D. Mar- tin, Building Privacy into the Seman- tic Web : An Ontology Needed Now, in Proc. of Semantic Web Workshop, Hawaii, USA, 2002. [14] R. Lee, Personal Data Protection in the Semantic Web , ME Thesis, MIT, USA, 2002, http://www.w3.org/2002/- 01/pedal/thesis.html [15] Microsoft Passport, http://www.- microsoft.com/myservices/passport. . . .
. . .  data requests - Services advertised Negotiation Component (Data request types Optional) Not Given ) ( Free, Limited, of services: Mandatory or - Rule extraction mechanism Figure 1: General Architecture of the Frame- work cies to allow or deny access to the personal information that a policy governs. The work also describes how policies can be merged us- ing negotiation rules and how Semantic Web logic processors reason through policies. What distinguishes our work is that we pro- pose a privacy framework for Web services based on domain specific Web service ontolo- gies. How service ontologies can be stored . . .
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