Abstract
In the spirit of the Linked Data initiative pioneered by Tim Berners-Lee, we propose a new type of link between entities identified by URIs named kleenk. This new type of link bridges the gap between the classical structured data published as RDF and the semi-structured data formats pushed by social networks such as Facebook and Twitter.
Unlike previously published work on RDF and its extensions, our proposal promotes links to a first-class citizenship in the world of a semantic web: a kleenk has a content of itself, can be linked to recursively, and both people and machines can harmoniously collaborate in creating, evaluating and extending them.
We discuss the theoretical model of the kleenk and how it can be built on top of existing frameworks such as RDF, and identify the main challenges for adoption of the new model.
Finally, we validate our model with two real-world implementations: an online platform for spreading research results between researchers and an ambient intelligence elder tracking scenario where kleenks are used to perform sensor fusion between heterogeneous data sources.
Chapter PDF
Similar content being viewed by others
References
Bizer, C., Cyganiak, R.: Quality-driven information filtering using the WIQA policy framework. Web Semant. 7, 1–10 (2009)
Bizer, C., Lehmann, J., Kobilarov, G., Auer, S., Becker, C., Cyganiak, R., Hellmann, S.: DBpedia - A crystallization point for the Web of Data. Web Semantics: Science, Services and Agents on the World Wide Web 7(3), 154–165 (2009)
Bollacker, K., Evans, C., Paritosh, P., Sturge, T., Taylor, J.: Freebase: a collaboratively created graph database for structuring human knowledge. In: Proceedings of the 2008 ACM SIGMOD International Conference on Management of Data, pp. 1247–1250. ACM (2008)
Botts, M., Percivall, G., Reed, C., Davidson, J.: OGC® sensor web enablement: Overview and high level architecture. In: Nittel, S., Labrinidis, A., Stefanidis, A. (eds.) GSN 2006. LNCS, vol. 4540, pp. 175–190. Springer, Heidelberg (2008)
Costa, R., Carneiro, D., Novais, P., Lima, L., Machado, J., Marques, A., Neves, J.: Ambient assisted living. In: 3rd Symposium of Ubiquitous Computing and Ambient Intelligence 2008, pp. 86–94. Springer (2009)
Dividino, R., Sizov, S., Staab, S., Schueler, B.: Querying for provenance, trust, uncertainty and other meta knowledge in RDF. Web Semant. 7, 204–219 (2009)
Gutierrez, C., Hurtado, C.A., Vaisman, A.: Introducing Time into RDF. IEEE Trans. on Knowl. and Data Eng. 19, 207–218 (2007)
Haklay, M., Weber, P.: Openstreetmap: User-generated street maps. IEEE Pervasive Computing 7(4), 12–18 (2008)
Haque, O.: Pachube (2004), http://www.pachube.com
RDF Primer (February 2004), http://www.w3.org/TR/rdf-primer/
Ismail, A.-A., Florea, A.M.: Multimodal indoor tracking of a single elder in an aal environment. In: ISAMI 2013 - 4th International Symposium on Ambient Intelligence (2013)
Jøsang, A., Ismail, R., Boyd, C.: A survey of Trust and Reputation Systems for Online Service Provision. Decis. Support Syst. 43, 618–644 (2007)
Mazzieri, M., Dragoni, A.F.: A Fuzzy Semantics for the Resource Description Framework. In: da Costa, P.C.G., d’Amato, C., Fanizzi, N., Laskey, K.B., Laskey, K.J., Lukasiewicz, T., Nickles, M., Pool, M. (eds.) URSW 2005-2007. LNCS (LNAI), vol. 5327, pp. 244–261. Springer, Heidelberg (2008)
Najork, M., Heydon, A.: High-performance web crawling. In: Handbook of Massive Data Sets, vol. 4, p. 25 (2002)
Petrie, C., Bussler, C.: Service agents and virtual enterprises: A survey. IEEE Internet Computing 7(4), 68–78 (2003)
Prud’Hommeaux, E., Seaborne, A., et al.: Sparql query language for rdf. W3C recommendation, 15 (2008)
Ramos, E.: Arduino basics. Arduino and Kinect Projects, 1–22 (2012)
Schenk, S.: On the Semantics of Trust and Caching in the Semantic Web. In: Sheth, A.P., Staab, S., Dean, M., Paolucci, M., Maynard, D., Finin, T., Thirunarayan, K. (eds.) ISWC 2008. LNCS, vol. 5318, pp. 533–549. Springer, Heidelberg (2008)
Sheth, A., Henson, C., Sahoo, S.S.: Semantic sensor web. IEEE Internet Computing 12(4), 78–83 (2008)
Shotton, J., Fitzgibbon, A., Cook, M., Sharp, T., Finocchio, M., Moore, R., Kipman, A., Blake, A.: Real-time human pose recognition in parts from single depth images. In: 2011 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 1297–1304. IEEE (2011)
Zimmermann, A., Lopes, N., Polleres, A., Straccia, U.: A General Framework for Representing, Reasoning and Querying with Annotated Semantic Web Data. Elements, 1437–1442 (2011)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 IFIP International Federation for Information Processing
About this paper
Cite this paper
Ismail, AA., Dinu, R., Florea, A.M., Stratulat, T., Ferber, J. (2014). Kleenks: Linked Data with Applications in Research and Ambient Assisted Living. In: Mercier-Laurent, E., Boulanger, D. (eds) Artificial Intelligence for Knowledge Management. AI4KM 2012. IFIP Advances in Information and Communication Technology, vol 422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-54897-0_4
Download citation
DOI: https://doi.org/10.1007/978-3-642-54897-0_4
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-54896-3
Online ISBN: 978-3-642-54897-0
eBook Packages: Computer ScienceComputer Science (R0)