Abstract
The table extraction is an important issue of Webpage information analysis. At present, there are three mainly methods, which is how to construct the wrapper, how to construct the ontology and directly analysis the structure of a table on the webpage. In the process of analysis, usually these methods are applied independently. Aiming at the shortcomings of single method, this paper presents a synthetic method based on the ontology and structure. In this paper, we firstly locates the tables based on heuristic rules, and then analysis the table structure according to the label and the title ontology, at last extract and save the table data on the basis of the obtained characteristics. The experiments show that the introduction of the ontology greatly improved the accuracy of table structure recognition, and the precision and recall of the methods are better.
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
Gatterbauer, W., Bohunsky, P.: Table extraction using spatial reasoning on the CSS2 visual box model. In: Proceedings of the 21st National Conference on Artificial Intelligence (2006)
Amin, M.S., Jamil, H.: FastWrap: An efficient wrapper for tabular data extraction from the web. In: IEEE International Conference on Information Reuse & Integration, IRI 2009, pp. 354–359. IEEE (2009)
Garofalakis, M., Gionis, A., Rastogi, R., et al.: XTRACT: A system for extracting document type descriptors from XML documents. ACM SIGMOD Record 29(2), 165–176 (2000)
Fensel, D., Van Harmelen, F., Horrocks, I., et al.: OIL: An ontology infrastructure for the semantic web. IEEE Intelligent Systems 16(2), 38–45 (2001)
Cha, S., Ma, Z., Cheng, J., et al.: Learning of ontology from the web-table. In: 2011 Eighth International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), vol. 3, pp. 1454–1458. IEEE (2011)
Wang, F., Gui, L., Wu, G.W.: Extracting information from Ontology-based WEB Table. MINI-MICRO SYSTEM 24(12), 2142–2146 (2003)
Xu, F., Zhang, S.Q., Yao, H.G.: Web Form Data Extraction System Based on Structure. Journal of Xi’an Technological University 29(6), 574–578 (2009)
Gatterbauer, W., Bohunsky, P., Herzog, M., et al.: Towards domain-independent information extraction from web tables. In: Proceedings of the 16th International Conference on World Wide Web, pp. 71–80. ACM (2007)
Liu, Y., Wu, G.Q., Hu, X.G.: A web table extraction algorithm based on tree edit distance. In: IEEE Conference Anthology, pp. 1–6. IEEE (2013)
Zhang, Z.Y., Xu, T., Feng, X.: Auto Generation Technology for Flight Information Extraction Rules. Computer Engineering 37(6), 65–67 (2011)
Dalvi, N., Kumar, R., Soliman, M.: Automatic wrappers for large scale web extraction. Proceedings of the VLDB Endowment 4(4), 219–230 (2011)
Gultom, R.A.G., Sari, R.F., Budiardjo, B.: Proposing the new Algorithm and Technique Development for Integrating Web Table Extraction and Building a Mashup. Journal of Computer Science 7(2) (2011)
Zhao, H., Xiao, H., Xue, D., et al.: A Survey of the Research on Information Extraction over Web Tables. New Technology of Library and Information Service 3, 24–31 (2008)
Kuhlins, S., Tredwell, R.: Toolkits for generating wrappers. In: Akşit, M., Mezini, M., Unland, R. (eds.) NODe 2002. LNCS, vol. 2591, pp. 184–198. Springer, Heidelberg (2003)
Liu, Y., Bai, K., Mitra, P., et al.: Tableseer: Automatic table metadata extraction and searching in digital libraries. In: Proceedings of the 7th ACM/IEEE-CS Joint Conference on Digital Libraries, pp. 91–100. ACM (2007)
Liao, T., Liu, Z.T., Kong, Q.P.: The Design and Implementation of Information Extraction Model on Web Tables. Computer Application and Software 26(4), 72–74 (2009)
Zhang, S., Zhang, C., Yan, X.: Post-mining: Maintenance of association rules by weighting. Inf. Syst. 28(7), 691–707 (2003)
Zhang, S., Qin, Z., Ling, C.X., Sheng, S.: “Missing Is Useful’: Missing Values in Cost-Sensitive Decision Trees. IEEE Trans. Knowl. Data Eng. 17(12), 1689–1693 (2005)
Wu, X., Zhang, S.: Synthesizing High-Frequency Rules from Different Data Sources. IEEE Trans. Knowl. Data Eng. 15(2), 353–367 (2003)
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
Guo, C., Ma, S., Yuan, D. (2014). A Web Table Extraction Method Based on Structure and Ontology. In: Luo, X., Yu, J.X., Li, Z. (eds) Advanced Data Mining and Applications. ADMA 2014. Lecture Notes in Computer Science(), vol 8933. Springer, Cham. https://doi.org/10.1007/978-3-319-14717-8_55
Download citation
DOI: https://doi.org/10.1007/978-3-319-14717-8_55
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-14716-1
Online ISBN: 978-3-319-14717-8
eBook Packages: Computer ScienceComputer Science (R0)