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2014 | OriginalPaper | Buchkapitel

An Auditable Reputation Service for Collective Adaptive Systems

verfasst von : Heather S. Packer, Laura Drăgan, Luc Moreau

Erschienen in: Social Collective Intelligence

Verlag: Springer International Publishing

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Abstract

The reputation of subject is a measure of a community’s opinion about that subject. A subject’s reputation plays a core role in communities within Collective Adaptive Systems (CAS) and can influence a community’s perception and their interactions with the subject. Their reputation can also affect computational activities within a system. While reputation is frequently used in CAS, there is a lack of agreed methods for its use, representation, and auditability. The aim of this chapter is to investigate key facets of an auditable reputation service for CAS, we contribute: Use cases for reputation and provenance in CAS, which are categorised into functional, auditable, privacy and security, and administrative; and a RESTful Reputation API, which allows users access to subject feedback and to access feedback reports and reputation measures.

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Vorheriges Kapitel The Future of Social Is Personal: The Potential of the Personal Data Store

Nächstes Kapitel Surfacing Collective Intelligence with Implications for Interface Design in Massive Open Online Courses

In general a CAS may be constituted only by artificial agents, with no humans, and thus with no social elements.

Uniquely identifying participants does not require or imply the use of any personally identifiable information, which would connect the participant to the real person.

A comprehensive list of the systems identified can be found at: http://sociam.org/social-machines.

http://googleblog.blogspot.co.uk/2009/08/bright-side-of-sitting-in-traffic.html.

http://collabmap.org/.

ProvStore: https://provenance.ecs.soton.ac.uk/store/.

prov-O: http://www.w3.org/TR/prov-o/.

The hash indicates that this entity isn’t stored in memory.

Berners-Lee, T.: Design Issues: Cleaning up the User Interface. W3C Note, World Wide Web Consortium (1997). URL http://www.w3.org/DesignIssues/UI.html

Berners-Lee, T., Fischetti, M., Foreword By-Dertouzos, M.L.: Weaving the Web: The original design and ultimate destiny of the World Wide Web by its inventor. HarperInformation (2000)

Chirita, P.A., Nejdl, W., Schlosser, M.T., Scurtu, O.: Personalized reputation management in p2p networks. In: ISWC Workshop on Trust, Security, and Reputation on the Semantic Web (2004)

Gal, K., et al.: Rideshare: A smart society application. Web Semantics: Science, Services and Agents on the World Wide Web (2014). URL https://docs.google.com/document/d/1cNhX-sW8pVyG5XYzrDNXzrn8R-NeKrzGszkDYJ3KwKQ/edit?invite=CPnQk7sG&pli=1

Gil, Y., Artz, D.: Towards content trust of web resources. Web Semant. Sci. Serv. Agents World Wide Web 5(4), 227–239 (2007). DOI http://dx.doi.org/10.1016/j.websem.2007.09.005. URL http://www.sciencedirect.com/science/article/pii/S1570826807000376. ¡ce:title¿World Wide Web Conference 2006Semantic Web Track¡/ce:title¿

Golbeck, J.: Trust on the world wide web: A survey. Found. Trends Web Sci. 1(2), 131–197 (2006). DOI 10.1561/1800000006. URL http://dx.doi.org/10.1561/1800000006

Golbeck, J.: Introduction to computing with social trust. In: Computing with Social Trust, pp. 1–5. Springer, London (2009)

Golbeck, J., Hendler, J.: Accuracy of Metrics for Inferring Trust and Reputation in Semantic Web-Based Social Networks. In: Motta, E., Shadbolt, N.R., Stutt, A., Gibbins, N. (eds.) Engineering Knowledge in the Age of the Semantic Web, Proceedings of the 14th International Conference, EKAW 2004, Lecture Notes in Computer Science, vol. 3257, pp. 116–131. Springer, Berlin/Heidelberg (2004). DOI 10.1007/978-3-540-30202-5_8. URL http://dx.doi.org/10.1007/978-3-540-30202-5_8

Golbeck, J.A.: Computing and applying trust in web-based social networks. Ph.D. thesis, College Park, MD, USA (2005). AAI3178583

10.

Hua, H., Tilmes, C., Zednik (eds.), S., Moreau, L.: PROV-XML: The PROV XML Schema. W3C Working Group Note NOTE-prov-xml-20130430, World Wide Web Consortium (2013). URL http://www.w3.org/TR/2013/NOTE-prov-xml-20130430/

11.

Huang, B., Kimmig, A., Getoor, L., Golbeck, J.: A flexible framework for probabilistic models of social trust. In: Social Computing, Behavioral-Cultural Modeling and Prediction, pp. 265–273. Springer, Berlin/Heidelberg (2013)

12.

Huynh, T.D.: Trust and reputation in open multi-agent systems (2006). URL http://eprints.soton.ac.uk/262759/

13.

Jøsang, A., Ismail, R., Boyd, C.: A survey of trust and reputation systems for online service provision. Decis. Support Syst. 43(2), 618–644 (2007). DOI 10.1016/j.dss.2005.05.019. URL http://dx.doi.org/10.1016/j.dss.2005.05.019

14.

Koutrouli, E., Tsalgatidou, A.: Reputation-based trust systems for p2p applications: Design issues and comparison framework. In: Proceedings of the Third International Conference on Trust, Privacy, and Security in Digital Business, TrustBus’06, pp. 152–161. Springer, Berlin, Heidelberg (2006). DOI 10.1007/11824633_16. URL http://dx.doi.org/10.1007/11824633_16

15.

Lebo, T., Sahoo, S., McGuinness (eds.), D., Behajjame, K., Cheney, J., Corsar, D., Garijo, D., Soiland-Reyes, S., Zednik, S., Zhao, J.: PROV-O: The PROV Ontology. W3C Recommendation REC-prov-o-20130430, World Wide Web Consortium (2013). URL http://www.w3.org/TR/2013/REC-prov-o-20130430/

16.

Li, X., Lebo, T., McGuinness, D.L.: Provenance-based strategies to develop trust in semantic web applications. In: McGuinness, D.L., Michaelis, J., Moreau, L. (eds.) Provenance and Annotation of Data and Processes, Lecture Notes in Computer Science, vol. 6378, pp. 182–197. Springer, Berlin/Heidelberg (2010). DOI 10.1007/978-3-642-17819-1_21. URL http://dx.doi.org/10.1007/978-3-642-17819-1_21

17.

Liu, L., Munro, M.: Systematic analysis of centralized online reputation systems. Decis. Support Syst. 52(2), 438–449 (2012). DOI 10.1016/j.dss.2011.10.003. URL http://dx.doi.org/10.1016/j.dss.2011.10.003

18.

Moreau, L.: Provenance-based reproducibility in the semantic web. Web Semant. Sci. Serv. Agents World Wide Web 9(2), 202–221 (2011). URL http://eprints.soton.ac.uk/271992/

19.

Moreau, L., Groth, P.: Provenance: An Introduction to PROV. Morgan and Claypool, San Rafael, CA, US (2013). URL http://dx.doi.org/10.2200/S00528ED1V01Y201308WBE007

20.

Moreau, L., Missier (eds.), P., Belhajjame, K., B’Far, R., Cheney, J., Coppens, S., Cresswell, S., Gil, Y., Groth, P., Klyne, G., Lebo, T., McCusker, J., Miles, S., Myers, J., Sahoo, S., Tilmes, C.: PROV-DM: The PROV Data Model. W3C Recommendation REC-prov-dm-20130430, World Wide Web Consortium (2013). URL http://www.w3.org/TR/2013/REC-prov-dm-20130430/

21.

Moreau, L., Missier (eds.), P., Cheney, J., Soiland-Reyes, S.: PROV-N: The Provenance Notation. W3C Recommendation REC-prov-n-20130430, World Wide Web Consortium (2013). URL http://www.w3.org/TR/2013/REC-prov-n-20130430/

22.

Pinyol, I., Sabater-Mir, J.: Arguing about social evaluations: From theory to experimentation. Int. J. Approximate Reason. 54(5), 667–689 (2013). DOI http://dx.doi.org/10.1016/j.ijar.2012.11.006. URL http://www.sciencedirect.com/science/article/pii/S0888613X1200196X

23.

Pinyol, I., Sabater-Mir, J.: Computational trust and reputation models for open multi-agent systems: a review. Artif. Intell. Rev. 40(1), 1–25 (2013). DOI 10.1007/s10462-011-9277-z. URL http://dx.doi.org/10.1007/s10462-011-9277-z

24.

Prat, N., Madnick, S.: Measuring data believability: A provenance approach. In: Proceedings of the Proceedings of the 41st Annual Hawaii International Conference on System Sciences, HICSS ’08, pp. 393–. IEEE Computer Society, Washington, DC, USA (2008). DOI 10.1109/HICSS.2008.243. URL http://dx.doi.org/10.1109/HICSS.2008.243

25.

Ramchurn, S.D., Huynh, D., Jennings, N.R., et al.: Trust in multi-agent systems. Knowl. Eng. Rev. 19(1), 1–25 (2004)

26.

Ramchurn, S.D., Huynh, T.D., Venanzi, M., Shi, B.: Collabmap: crowdsourcing maps for emergency planning. In: The 5th Annual ACM Web Science Conference, pp. 326–335 (2013). URL http://eprints.soton.ac.uk/350677/

27.

Richardson, M., Agrawal, R., Domingos, P.: Trust management for the semantic web. In: Fensel, D., Sycara, K., Mylopoulos, J. (eds.) The Semantic Web—ISWC 2003, Lecture Notes in Computer Science, vol. 2870, pp. 351–368. Springer, Berlin/Heidelberg (2003). DOI 10.1007/978-3-540-39718-2_23. URL http://dx.doi.org/10.1007/978-3-540-39718-2_23

28.

Sabater, J., Sierra, C.: Review on computational trust and reputation models. Artif. Intell. Rev. 24(1), 33–60 (2005). DOI 10.1007/s10462-004-0041-5. URL http://dx.doi.org/10.1007/s10462-004-0041-5

29.

Shadbolt, N.R., Smith, D.A., Simperl, E., Kleek, M.V., Yang, Y., Hall, W.: Towards a classification framework for social machines. In: SOCM2013: The Theory and Practice of Social Machines (2013). URL http://eprints.soton.ac.uk/350513/

30.

Shadbolt, N.R., Smith, D.A., Simperl, E., Van Kleek, M., Yang, Y., Hall, W.: Towards a classification framework for social machines. In: Proceedings of the 22nd International Conference on World Wide Web Companion, pp. 905–912. International World Wide Web Conferences Steering Committee (2013)

31.

Smart, P., Simperl, E., Shadbolt, N.: A Taxonomic Framework for Social Machines. In: Miorandi, D., Maltese, E., Rovatsos, M., Nijholt, A., Stewart, J. (eds.) Social Collective Intelligence: Combining the Powers of Humans and Machines to Build a Smarter Society. Springer, New York (2014)

32.

Stein, K., Hess, C.: Does it matter who contributes: A study on featured articles in the german wikipedia. In: Proceedings of the Eighteenth Conference on Hypertext and Hypermedia, HT ’07, pp. 171–174. ACM, New York, NY, USA (2007). DOI 10.1145/1286240.1286290. URL http://doi.acm.org/10.1145/1286240.1286290

33.

von Ahn, L., Maurer, B., Mcmillen, C., Abraham, D., Blum, M.: reCAPTCHA: Human-Based Character Recognition via Web Security Measures. Science 321(5895), 1465–1468 (2008). URL http://dx.doi.org/10.1126/science.1160379

34.

Vu, L.H., Aberer, K.: Effective usage of computational trust models in rational environments. ACM Trans. Auton. Adapt. Syst. 6(4), 24:1–24:25 (2011). DOI 10.1145/2019591.2019593. URL http://doi.acm.org/10.1145/2019591.2019593

35.

Weitzner, D.J., Abelson, H., Berners-Lee, T., Feigenbaum, J., Hendler, J., Sussman, G.J.: Information Accountability, pp. 82–87. ACM, New York (2008)

Titel: An Auditable Reputation Service for Collective Adaptive Systems
verfasst von: Heather S. Packer
Laura Drăgan
Luc Moreau
Verlag: Springer International Publishing
Buch: Social Collective Intelligence
Print ISBN: 978-3-319-08680-4

Electronic ISBN: 978-3-319-08681-1

Copyright-Jahr: 2014
DOI: https://doi.org/10.1007/978-3-319-08681-1_8

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