Abstract
In recent years, a large quantity of algorithms has been presented for extracting information from semi-structured sources like HTML pages. Some of them already focus on product information and are adopted, e.g., in online platforms. However, most of those algorithms do not specifically target technical product specifications and never take the localization of such specifications into account.
This work focuses on automating the whole process of retrieving and extracting product specifications. It achieves a high data quality by directing the source retrieval to producer pages where product specifications are extracted in an unsupervised manner. The resulting specifications are of high relevance to consumers since they enable effective product comparisons. The success of the developed algorithms is proven by a federated information system called Fedseeko.
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.
References
Walther, M., Schuster, D., Juchheim, T., Schill, A.: Category-based ranking of federated product offers. In: WWW/Internet 2009: Proceedings of the IADIS International Conference WWW/Internet 2009, Lisbon, Portugal. IADIS Press (2009)
Wong, T.L., Lam, W.: An unsupervised method for joint information extraction and feature mining across different web sites. Data Knowledge Engineering 68, 107–125 (2009)
Banko, M., Cafarella, M.J., Soderland, S., Broadhead, M., Etzioni, O.: Open information extraction from the web. In: IJCAI 2007: Proceedings of the 20th International Joint Conference on Artifical Intelligence, pp. 2670–2676. Morgan Kaufmann Publishers Inc., San Francisco (2007)
Scaffidi, C., Bierhoff, K., Chang, E., Felker, M., Ng, H., Jin, C.: Red opal: Product-feature scoring from reviews. In: EC 2007: Proceedings of the 8th ACM Conference on Electronic Commerce, pp. 182–191. ACM, New York (2007)
Califf, M.E., Mooney, R.J.: Relational learning of pattern-match rules for information extraction. In: AAAI 1999/IAAI 1999: Proceedings of the 16th National Conference on Artificial Intelligence and the 11th Innovative Applications of Artificial Intelligence Conference, pp. 328–334. AAAI, Menlo Park (1999)
Freitag, D.: Information extraction from html: Application of a general machine learning approach. In: AAAI 1998/IAAI 1998: Proceedings of the 15th National Conference on Artificial Intelligence and the 10th Innovative Applications of Artificial Intelligence Conference, pp. 517–523. AAAI, Menlo Park (1998)
Kushmerick, N., Weld, D.S., Doorenbos, R.: Wrapper induction for information extraction. In: IJCAI 1997: Proceedings of the 10th International Joint Conference on Artificial Intelligence (1997)
Hsu, C.N., Dung, M.T.: Generating finite-state transducers for semi-structured data extraction from the web. Information Systems 23, 521–538 (1998)
Muslea, I., Minton, S., Knoblock, C.A.: A hierarchical approach to wrapper induction. In: AGENTS 1999: Proceedings of the 3rd Annual Conference on Autonomous Agents, pp. 190–197. ACM, New York (1999)
Laender, A.H.F., Ribeiro-Neto, B., da Silva, A.S.: Debye - date extraction by example. Data Knowledge Engineering 40, 121–154 (2002)
Chang, C.H., Lui, S.C.: Iepad: Information extraction based on pattern discovery. In: WWW 2001: Proceedings of the 10th International Conference on World Wide Web, pp. 681–688. ACM, New York (2001)
Zhai, Y., Liu, B.: Web data extraction based on partial tree alignment. In: WWW 2005: Proceedings of the 14th International Conference on World Wide Web, pp. 76–85. ACM, New York (2005)
Liu, B., Zhai, Y.: NET – A system for extracting web data from flat and nested data records. In: Ngu, A.H.H., Kitsuregawa, M., Neuhold, E.J., Chung, J.-Y., Sheng, Q.Z. (eds.) WISE 2005. LNCS, vol. 3806, pp. 487–495. Springer, Heidelberg (2005)
Liu, B., Grossman, R., Zhai, Y.: Mining data records in web pages. In: KDD 2003: Proceedings of the 9th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 601–606. ACM, New York (2003)
Crescenzi, V., Mecca, G., Merialdo, P.: Roadrunner: Towards automatic data extraction from large web sites. In: VLDB 2001: Proceedings of the 27th International Conference on Very Large Data Bases, pp. 109–118. Morgan Kaufmann Publishers Inc., San Francisco (2001)
Arasu, A., Garcia-Molina, H.: Extracting structured data from web pages. In: SIGMOD 2003: Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, pp. 337–348. ACM, New York (2003)
Liu, B.: Web Data Mining: Exploring Hyperlinks, Contents, and Usage Data (Data-Centric Systems and Applications). Springer Verlag New York, Inc., Secaucus (2006)
Walther, M., Schuster, D., Schill, A.: Federated product search with information enrichment using heterogeneous sources. In: Abramowicz, W. (ed.) BIS 2009. LNBIP, vol. 21, pp. 73–84. Springer, Heidelberg (2009)
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
Walther, M., Hähne, L., Schuster, D., Schill, A. (2011). Directed Retrieval and Extraction of High-Quality Product Specifications. In: Filipe, J., Cordeiro, J. (eds) Enterprise Information Systems. ICEIS 2010. Lecture Notes in Business Information Processing, vol 73. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19802-1_30
Download citation
DOI: https://doi.org/10.1007/978-3-642-19802-1_30
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19801-4
Online ISBN: 978-3-642-19802-1
eBook Packages: Computer ScienceComputer Science (R0)