Abstract
Ubiquitous knowledge discovery systems must be captured from many different perspectives. In earlier chapters, aspects like machine learning, underlying network technologies etc. were described. An essential component, which we shall discuss now, is still missing: Ubiquitous Data. While data themselves are a central part of the knowledge discovery process, in a ubiquitous setting new challenges arise. In this context, the emergence of data itself plays a large role, therefore we label this part of KDubiq systems ubiquitous data. It clarifies the KDubiq challenges related to the multitude of available data and what we must do before we can tap into this rich information source.
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References
Hand, D., Mannila, H., Smyth, P.: Principles of Data Mining. MIT Press, Cambridge (2001)
Giannotti, F., Pedreschi, D. (eds.): Mobility, privacy, and geography: a knowledge discovery perspective. Springer, Heidelberg (2008)
Shirky, C.: Listening to Napster. In: [4], pp. 21–37
Oram, A. (ed.): Peer-to-Peer. O’Reilly, Sebastopol (2001)
Weiß, G. (ed.): Multiagent Systems: A Modern Approach to Distributed Artificial Intelligence. MIT Press, Cambridge (1999)
Golder, S., Huberman, B.A.: The structure of collaborative tagging systems (2005)
Hammond, T., Hannay, T., Lund, B., Scott, J.: Social Bookmarking Tools (I). D-Lib Magazine (2005)
Jäschke, R., Hotho, A., Schmitz, C., Stumme, G.: Analysis of the publication sharing behaviour in BibSonomy. In: Priss, U., Polovina, S., Hill, R. (eds.) ICCS 2007. LNCS (LNAI), vol. 4604, pp. 283–295. Springer, Heidelberg (2007)
Flasch, O., Kaspari, A., Morik, K., Wurst, M.: Aspect-based tagging for collaborative media organisation. In: Proceedings of the ECML/PKDD Workshop on Ubiquitous Knowledge Discovery for Users (2006)
Stumme, G., Hotho, A., Berendt, B.: Semantic web mining - state of the art and future directions. Journal of Web Semantics 4(2), 124–143 (2006)
Schmitz, C., Hotho, A., Jschke, R., Stumme, G.: Mining association rules in folksonomies. In: Batagelj, V., Bock, H.H., Ferligoj, A., Ziberna, A. (eds.) Data Science and Classification. Proceedings of the 10th IFCS Conf. Studies in Classification, Data Analysis and Knowledge Organization, pp. 261–270. Springer, Heidelberg (2006)
Mika, P.: Ontologies are us: A unified model of social networks and semantics. In: Gil, Y., Motta, E., Benjamins, V.R., Musen, M.A. (eds.) ISWC 2005. LNCS, vol. 3729, pp. 522–536. Springer, Heidelberg (2005)
Hotho, A., Jäschke, R., Schmitz, C., Stumme, G.: Information retrieval in folksonomies: Search and ranking. In: Sure, Y., Domingue, J. (eds.) ESWC 2006. LNCS, vol. 4011, pp. 411–426. Springer, Heidelberg (2006)
Cattuto, C., Schmitz, C., Baldassarri, A., Servedio, V.D.P., Loreto, V., Hotho, A., Grahl, M., Stumme, G.: Network properties of folksonomies. AI Communications 20(4), 245–262 (2007)
Decker, S., Frank, M.R.: The Networked Semantic Desktop. In: Proc. WWW Workshop on Application Design, Development and Implementation Issues in the Semantic Web, New York (2004)
Decker, S., Park, J., Quan, D., Sauermann, L. (eds.): The Semantic Desktop - Next Generation Information Management & Collaboration Infrastructure. Proc. of Semantic Desktop Workshop at the ISWC 2005, CEUR Workshop Proceedings, vol. 175 (2005), ISSN: 1613–0073
Decker, S., Park, J., Sauermann, L., Auer, S., Handschuh, S. (eds.): Proceedings of the Semantic Desktop and Social Semantic Collaboration Workshop (SemDesk 2006) at the ISWC 2006, Proceedings of the Semantic Desktop and Social Semantic Collaboration Workshop (SemDesk 2006) at the ISWC 2006. CEUR-WS, vol. 202 (2006)
Wurst, M., Morik, K.: Distributed feature extraction in a p2p setting - a case study. Future Generation Computer Systems, Special Issue on Data Mining (2006)
Madden, S.R., Franklin, M.J., Hellerstein, J.M., Hong, W.: Tinydb: an acquisitional query processing system for sensor networks. ACM Trans. Database Syst. 30(1), 122–173 (2005)
Pedersen, R.U.: Tinyos education with lego mindstorms nxt. In: Gama, J., Gaber, M.M. (eds.) Learning from Data Streams. Processing Techniques in Sensor Networks, pp. 231–241. Springer, Heidelberg (2007)
Andrienko, N., Andrienko, A., Pelekis, N., Spaccapietra, S.: Basic concepts of movement data. In: Mobility, Privacy and Geography: a Knowledge Discovery Perspective. Springer, Heidelberg (2008)
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Hotho, A., Pedersen, R.U., Wurst, M. (2010). Ubiquitous Data. In: May, M., Saitta, L. (eds) Ubiquitous Knowledge Discovery. Lecture Notes in Computer Science(), vol 6202. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16392-0_4
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DOI: https://doi.org/10.1007/978-3-642-16392-0_4
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