Abstract
In this paper, we propose a method called LocalRank to rank web pages by integrating the web and a user database containing information on a specific geographical area. LocalRank is a rank value for a web page to assess its relevance degree to database entries considering geographical locality and its popularity on a local web space. In our method, we first construct a linked graph structure using entries contained in the database. The nodes of this graph consist of database entries and their related web pages. The edges in the graph are composed of semantic links including geographical links between these nodes, in addition to conventional hyperlinks. Then a link analysis is performed to compute a LocalRank value for each node. LocalRank can represent user’s interest since this graph effectively integrates the web and the user database. Our experimental results for a local restaurant database shows that local web pages related to the database entries are highly ranked based on our method.
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
Regional in the Yahoo! Directory, http://dir.yahoo.com/Regional/
goo TOWNPAGE, http://townpage.goo.ne.jp/
Balmin, A., Hristidis, V., Papakonstantinou, Y.: ObjectRank: Authority-Based Keyword Search in Databases. In: Proc. VLDB 2004, pp. 564–575 (2004)
Geerts, F., Mannila, H., Terzi, E.: Relational Link-Based Ranking. In: Proc. VLDB 2004, pp. 552–563 (2004)
Baldi, P., Frasconi, P., Smyth, P.: Modeling the Internet and the Web: Probabilistic Methods and Algorithms. Wiley, Chichester (2003)
Chakrabarti, S.: Mining the Web: Discovering Knowledge from Hypertext Data. Morgan Kaufmann, San Francisco (2002)
Kleinberg, J.M.: Authoritative Sources in a Hyperlinked Environment. JACM 46(5), 604–632 (1999)
Brin, S., Page, L.: The Anatomy of a Large-scale Hypertexual Web Search Engine. Computer Networks 30(1-7), 107–117 (1998)
Matsumoto, C., Ma, Q., Tanaka, K.: Web Information Retrieval Based on the Localness Degree. In: Hameurlain, A., Cicchetti, R., Traunmüller, R. (eds.) DEXA 2002. LNCS, vol. 2453, pp. 172–181. Springer, Heidelberg (2002)
Hiramatsu, K., Ishida, T.: An Augmented Web Space for Digital Cities. In: Proc. SAINT 2001, pp. 105–112 (2001)
Ding, J., Gravano, L., Shivakumar, N.: Computing Geographical Scopes of Web Resources. In: Proc. VLDB 2000, pp. 545–556 (2000)
Gravano, L., Hatzivassiloglou, V., Lichtenstein, R.: Categorizing Web Queries According to Geographical Locality. In: Proc. CIKM 2003, pp. 325–333 (2003)
Menczer, F., Pant, G., Srinivasan, P.: Topical Web Crawlers: Evaluating Adaptive Algorithms. ACM Trans. on Internet Technology 4(4), 378–419 (2004)
Cho, J., Garcia-Molina, H., Page, L.: Efficient Crawling through URL Ordering. Computer Networks 30(1-7), 161–172 (1998)
Chakrabarti, S., van den Berg, M., Dom, B.: Focused Crawling: A New Approach to Topic-specific Web Resource Discovery. Computer Networks 31(11-16), 1623–1640 (1999)
Diligenti, M., Coetzee, F.M., Lawrence, S., Giles, C.L., Gori, M.: Focused Crawling Using Context Graphs. In: Proc. VLDB 2000, pp. 527–534 (2000)
Gourmet navigation in Tsukuba city, http://www.i-tsukuba.com/yellow/gourmet/index.htm
Yahoo! JAPAN MAPS, http://map.yahoo.co.jp/
Measurement Calculation, http://vldb.gsi.go.jp/sokuchi/surveycalc/bl2stf.html
Scilab Home Page, http://scilabsoft.inria.fr/
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Zhang, J., Ishikawa, Y., Kurokawa, S., Kitagawa, H. (2005). LocalRank: Ranking Web Pages Considering Geographical Locality by Integrating Web and Databases. In: Andersen, K.V., Debenham, J., Wagner, R. (eds) Database and Expert Systems Applications. DEXA 2005. Lecture Notes in Computer Science, vol 3588. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11546924_15
Download citation
DOI: https://doi.org/10.1007/11546924_15
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28566-3
Online ISBN: 978-3-540-31729-6
eBook Packages: Computer ScienceComputer Science (R0)