Abstract
In Wikipedia, knowledge related to an object is gathered into a single article that is mainly composed of text and images. We observed that some Wikipedia images are inappropriate for addition to some Wikipedia articles. In this paper, we propose a RCT model for analyzing the appropriateness of images for Wikipedia articles. The model assumes that an image appearing in article s indicates relations related to s. The model then examines the appropriateness of an image through analyzing relations indicated by the image. We also propose a system which examining Wikipedia images using the RCT model. The system also searches images on the Web which could serve as references for users to add appropriate images or text to edit high-quality and image-rich Wikipedia articles. Finally, we confirm through experiments that the RCT model could examine the appropriateness of Wikipedia images to a satisfactory degree.
This is a preview of subscription content, log in via an institution to check access.
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
Adler, B.T., de Alfaro, L.: A content-driven reputation system for the wikipedia. In: Proc. of 16th WWW, pp. 261–270 (2007)
Chen, Y., Wang, J.Z., Krovetz, R.: Clue: cluster-based retrieval of images by unsupervised learning. IEEE Transactions on Image Processing 14(8), 1187–1201 (2005)
Chesney, T.: An empirical examination of wikipedia’s credibility. First Monday 11(11) (2006)
Hu, M., Lim, E.P., Sun, A., Lauw, H.W., Vuong, B.Q.: Measuring article quality in wikipedia: models and evaluation. In: Proc. of 16th CIKM, pp. 243–252 (2007)
Jing, Y., Baluja, S.: Visualrank: Applying pagerank to large-scale image search. IEEE Transactions on Pattern Analysis and Machine Intelligence 30(11), 1877–1890 (2008)
Koren, Y., North, S.C., Volinsky, C.: Measuring and extracting proximity in networks. In: Proc. of 12th ACM SIGKDD Conference, pp. 245–255 (2006)
Li, J., Wang, J.Z., Wiederhold, G.: Irm: Integrated region matching for image retrieval. In: Proc. 8th of ACM Multimedia, pp. 147–156 (2000)
Nakayama, K., Hara, T., Nishio, S.: Wikipedia mining for an association web thesaurus construction. In: Benatallah, B., Casati, F., Georgakopoulos, D., Bartolini, C., Sadiq, W., Godart, C. (eds.) WISE 2007. LNCS, vol. 4831, pp. 322–334. Springer, Heidelberg (2007)
Tezuka, T., Maeda, A.: Typicality ranking of images using the aspect model. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds.) DEXA 2010. LNCS, vol. 6262, pp. 248–257. Springer, Heidelberg (2010)
Wang, J.Z., Li, J., Wiederhold, G.: Simplicity: Semantics-sensitive integrated matching for picture libraries. IEEE Trans. on PAMI 23(9), 947–963 (2001)
Wayne, K.D.: Generalized Maximum Flow Algorithm. Ph.D. thesis. Cornell University, New York, U.S. (January 1999)
Wilkinson, D.M., Huberman, B.A.: Cooperation and quality in wikipedia. In: Proc. of WikiSym 2007, pp. 157–164 (2007)
Zhang, X., Asano, Y., Yoshikawa, M.: Analysis of implicit relations on wikipedia: Measuring strength through mining elucidatory objects. In: Kitagawa, H., Ishikawa, Y., Li, Q., Watanabe, C. (eds.) DASFAA 2010. LNCS, vol. 5981, pp. 460–475. Springer, Heidelberg (2010)
Zhang, X., Asano, Y., Yoshikawa, M.: Enishi: Searching knowledge about relations by complementarily utilizing wikipedia and the web. In: Chen, L., Triantafillou, P., Suel, T. (eds.) WISE 2010. LNCS, vol. 6488, pp. 480–495. Springer, Heidelberg (2010)
Zhang, X., Asano, Y., Yoshikawa, M.: Mining and explaining relationships in wikipedia. In: Bringas, P.G., Hameurlain, A., Quirchmayr, G. (eds.) DEXA 2010. LNCS, vol. 6262, pp. 1–16. Springer, Heidelberg (2010)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, X., Asano, Y., Yoshikawa, M. (2011). Towards Improving Wikipedia as an Image-Rich Encyclopaedia through Analyzing Appropriateness of Images for an Article. In: Du, X., Fan, W., Wang, J., Peng, Z., Sharaf, M.A. (eds) Web Technologies and Applications. APWeb 2011. Lecture Notes in Computer Science, vol 6612. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-20291-9_21
Download citation
DOI: https://doi.org/10.1007/978-3-642-20291-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-20290-2
Online ISBN: 978-3-642-20291-9
eBook Packages: Computer ScienceComputer Science (R0)