Abstract
Information available online has exploded over the last 20 years, which has led to the phenomenon of information overload. This phenomenon describes the fact that it becomes increasingly harder to find relevant information in the sheer amount of information available, basically, the proverbial needle in a haystack. We have previously proposed a solution to this problem in the form of the WiPo framework that does not answer queries solely based on a pre-assembled index, but based on a subject-specific database that is sourced from the Internet, curated by domain experts, and dynamically generated based on vast user input; in addition, it allows a user to take the results offline (”Web in your Pocket”). In this paper, we describe our prototypical implementation thereof: An information platform that delivers high quality information to users, achieved by means of curation. Additionally, we elaborate on use cases, namely movie tourism and search and rescue as well as present some early evaluation results gathered in an interview study.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Choudhury, G.S.: Case Study in Data Curation at Johns Hopkins University. Library Trends, 211–220 (2008)
Dice, L.R.: Measures of the Amount of Ecologic Association Between Species. Ecology 26(3), 297–302 (1945)
Dillon, S., Rastrick, K., Stahl, F., Vossen, G.: WiPo for SAR: Taking the Web in your Pocket when doing Search and Rescue. In preparations
Dillon, S., Stahl, F., Vossen, G.: Towards the Web in Your Pocket: Curated Data as a Service. In: Nguyen, N.T., Trawiński, B., Katarzyniak, R., Jo, G.-S. (eds.) Adv. Methods for Comput. Collective Intelligence. SCI, vol. 457, pp. 25–34. Springer, Heidelberg (2013)
Dillon, S., Stahl, F., Vossen, G., Rastrick, K.: A Contemporary Approach to Coping with Modern Information Overload. Communications of the ICISA: An International Journal 14(1), 1–24 (2013)
Lee, C.A., Marciano, R., Hou, C.-Y.: From harvesting to cultivating. In: Proceedings of the 9th Conference on Digital Libraries, p. 423 (2009)
Lord, P., Macdonald, A., Lyon, L., David, G.: From Data Deluge to Data Curation. In: Proceedings of the UK e-Science All Hands Meeting (2004)
Muschalle, A., Stahl, F., Löser, A., Vossen, G.: Pricing Approaches for Data Markets. In: Castellanos, M., Dayal, U., Rundensteiner, E.A. (eds.) BIRTE 2012. LNBIP, vol. 154, pp. 129–144. Springer, Heidelberg (2013)
Palmer, C.L., Allard, S., Marlino, M.: Data curation education in research centers. In: Proceedings of the 2011 iConference, pp. 738–740 (2011)
Rajaraman, A., Ullman, J.D.: Mining of Massive Datasets. Cambridge University Press (2011)
Sanderson, R., Harrison, J., Llewellyn, C.: A curated harvesting approach to establishing a multi-protocol online subject portal: Opening information horizons. In: 6th ACM/IEEE-CS Joint Conference on Digital Libraries (2006)
Stahl, F., Godde, A., Hagedorn, B., Köpcke, B., Rehberger, M., Vossen, G.: Implementing the wipo architecture. Technical Report 20, ERCIS — European Research Center for Information Systems, Münster (2014)
Stahl, F., Löser, A., Vossen, G.: Preismodelle für Datenmarktpläze. Informatik-Spektrum 37(1) (2014)
Stahl, F., Vossen, G.: From Unreliable Web Search to Information Provisioning based on Curated Data. EMISA Forum 32(2), 6–20 (2012)
Stonebraker, M., Bruckner, D., Ilyas, I.F., Beskales, G., Cherniack, M., Zdonik, S.B., Pagan, A., Xu, S.: Data Curation at Scale: The Data Tamer System. In: CIDR (2013), http://www.cidrdb.org
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2014 Springer International Publishing Switzerland
About this paper
Cite this paper
Stahl, F., Godde, A., Hagedorn, B., Köpcke, B., Rehberger, M., Vossen, G. (2014). Implementing the WiPo Architecture. In: Hepp, M., Hoffner, Y. (eds) E-Commerce and Web Technologies. EC-Web 2014. Lecture Notes in Business Information Processing, vol 188. Springer, Cham. https://doi.org/10.1007/978-3-319-10491-1_1
Download citation
DOI: https://doi.org/10.1007/978-3-319-10491-1_1
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10490-4
Online ISBN: 978-3-319-10491-1
eBook Packages: Computer ScienceComputer Science (R0)