empirical study, incorporating about 100 students of
our semantic web course. Finally, case studies will
be conducted together with our demonstrators, the
eMedia retailer Thalia
23
and the eRecruiting
company IVENTA
24
, in order to evaluate the
TheHiddenU in a real world setting. In particular,
three exemplary social networks will be integrated
by the system provider, dedicated profilers will be
developed by our demonstrators to personalize their
services and volunteers will refine their integrated
profile and subscribe to services. On basis of
structured interviews, it will be explored, first, to
which extent personalization and service provision
met the volunteer’s requirements, second which
social content is shared with the service provider to
analyze privacy attitudes and third, to what extent
the provided provenance information procured
privacy control over the volunteers social content.
REFERENCES
Baumgartner, N., Gottesheim, W., Mitsch, S,
Retschitzegger, W., Schwinger, W.: BeAware!
Situation Awareness, the Ontology-Driven Way.
accepted for DKE Journal, Elsevier, 2010.
Bizer, C., Heath, T., Berners-Lee, T.: Linked Data - The
Story So Far. Int. Journal on Semantic Web and
Information Systems (IJSWIS), 2009
Bleiholder, J., Naumann, F.: Data fusion. ACM Computing
Surveys, 41(1), 2008
Bonhard P., et al.: The devil you know knows best – How
online recommendations can benefit from social
networking. Proc. of the 21st British CHI Group
Annual Conf. on HCI, 2007
Chapman, A., Jagadish, H. V.: Issues in Building Practical
Provenance Systems. IEEE Data Eng. Bull., 30 (4),
2007
Dustdar, S., et al.: Self-Adaptation Techniques for
Complex Service-oriented Systems. Proc. of 5
th
Int.
Conf. on Next Generation Web Services Practices,
IEEE, 2009
Elmagarmid, A. K., Ipeirotis, P. G., Verykios, V. S.:
Duplicate Record Detection: A Survey. IEEE
Transactions on Knowledge and Data Engineering, 19
(1), 2007
Ereteo, G., et al.: A State of the Art on Social Network
Analysis and its Applications on a Semantic Web.
Proc of the 1
st
Social Data on the Web Workshop
(SDoW’08), Karlsruhe, Oct. 2008
Ghosh, R., Dekhil, M.: Mashups for semantic user
profiles. Proc. of the 17th Int. Conf. on World Wide
Web (WWW’08), ACM, 2008
Golemati, M. et al.: Creating an Ontology for the User
Profile: Method and Application. Proc. of the 1
st
Int.
Conf. on Research Challenges in Information Science
(RCIS’07), 2007
Halpin, H.: Ten Theses on the Future of Social
Networking. Proc. of W3C Workshop on the Future of
Social Networking, Barcelona, 2009
Harth, A., Polleres, A., Decker, S.: Towards a Social
Provenance Model for the Web. Proc. of Workshop
on Principles of Provenance (PrOPr’07), 2007
Huang, Z. et al.: A Survey of Web Scale Reasoning. FP7
Deliverable, LarKC/2008/D4.1, 2008
Kappel, G., Kotsis, G., Kusel, A., Lechner, S., Pröll, B.,
Retschitzegger, W., Schönböck, J., Schwinger, W.,
Wimmer, M.: TheHiddenU - A Social Nexus for
Privacy-Assured Personalisation Brokerage, Technical
Report, University Linz, 2009,
http://www.ifs.jku.at/download/TheHiddenU.pdf
Kay, J.: Scrutable Adaptation: Because We Can and Must.
Proc. of 4th Int. Conf. on Adaptive Hypermedia and
Adaptive Web-Based Systems, Springer, LNCS 4018,
2006
Kobsa, A.: Generic User Modeling Systems. The Adaptive
Web, Springer, LNCS 4321, 2007a
Kobsa, A.: Privacy-enhanced personalization.
Communication of the. ACM 50(8): 24-33, 2007b
Lukasiewicz, T., Straccia, U.: Description Logic Programs
under Probabilistic Uncertainty and Fuzzy Vagueness.
Journal of Approximate Reasoning, 50(6), 2009
Nielsen: Global Faces and Networked Places – Report on
Social Networking’s New Global Fingerprint.
http://blog.nielsen.com/nielsenwire/wp-content/
uploads/2009/03/nielsen_globalfaces_mar09.pdf, 2009
Noor, S., Martinez, K.: Using Social Data as Context for
Making Recommendations: An Ontology based
Approach. Proc. of the Workshop on Context,
Information And Ontologies (CIAO’09), 2009
Le-Phuoc, D. et al.: Rapid prototyping of semantic mash-
ups through semantic web pipes. Proc. of the 18
th
Int.
Conf. on World Wide Web (WWW '09), ACM, 2009
Rahm, E., et al.: Data Cleaning: Problems & Current
Approaches. IEEE Data Eng. Bull., 23(4), 2000
Simmhan, Y. L. et al.: A survey of data provenance in e-
science. SIGMOD Rec. 34(3), 2005
Sutterer, M. et al.: UPOS: User profile ontology with
situation-dependent preferences support. Proc. of the
1
st
Int. Conf. on Advances in Computer-Human
Interaction, IEEE, 2008
Tan, W.: Provenance in Databases: Past, Current, and
Future. IEEE Data Eng. Bull., 30(4), 2007
Wimmer, M., Kusel, A., Schoenboeck, J., Kappel, G.,
Retschitzegger, W., Schwinger, W.: Reviving QVT
Relations: Model-based Debugging using Colored
Petri Nets. Proc. of ACM/IEEE 12
th
Int. Conf. on MDE
Languages and Systems (MODELS’09), Denver, 2009
Wimmer, M., Schauerhuber, A., Retschitzegger, W.,
Schwinger, W., Kappel, G., Kapsammer, E.: A Survey
on UML-based Aspect-Oriented Design. accepted for
ACM Computing Surveys, 2010.
23 www.thalia.at
24
www.inventa.at
ICEIS 2010 - 12th International Conference on Enterprise Information Systems
162