Rule learning for feature values extraction from HTML product information sheets

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3323 LNCS, Issue , 2004, Pages 37-48

  Bǎdicǎ, Costin ^a   Bǎdicǎ, Amelia ^a  

^a UNIVERSITY OF CRAIOVA   (Romania)

Author keywords

[No Author keywords available]

Indexed keywords

AUTOMATED MACHINES; AUTOMATED PROCESSING; EXTRACTION RULE; HTML DOCUMENTS; HTML TABLES; HUMAN UNDERSTANDING; HUMAN USERS; INFORMATION ITEMS; INFORMATION REPOSITORIES; ON THE FLIES; PRIMARY TASK; PRODUCT INFORMATION; RULE LEARNING; SEMANTIC STRUCTURES; SHOPPING AGENT; SOFTWARE TOOL; TREE NODES; UNIFORM STRUCTURE; WEB PAGE;

COMPUTER PROGRAMMING LANGUAGES; FEATURE EXTRACTION; HTML; LEARNING ALGORITHMS; LINGUISTICS; PAPER SHEETING; SEMANTIC WEB; SEMANTICS; SOFTWARE AGENTS; COMPUTATIONAL LINGUISTICS; EMBEDDED SYSTEMS; EXTRACTION; FORESTRY; TREES (MATHEMATICS); WEBSITES;

MARKUP LANGUAGES; SEMANTIC WEB;

EID: 77249085354     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30504-0_4     Document Type: Conference Paper

References (12)

1. Bǎdicǎ, C., Bǎdicǎ, A., Litoiu, V.: Enhancing WWW E-Commerce by Acquiring and Managing Product Knowledge. In: Proceedings of TAINN'03, vol.E-7, çanakkale, Turkey (2003) 684-692.
2. Chakrabarti, S.: Mining the Web. Discovering Knowledge from Hypertext Data. Morgan Kaufmann Publishers, (2003).
3. Chidlovskii, B.: Information Extraction from Tree Documents by Learning Subtree Delimiters. In: Proceedings of IJCAI-03 Workshop on Information Integration on the Web (IIWeb-03), Acapulco, Mexico (2003), 3-8.
4. Fensel, D., Ding, Y., Omelayenko, B., Schulten, E., Botquin, G., Brown, M., Flet, A.: Product Data Integration. IEEE Intelligent Systems, Vol. 16, No.4, IEEE Computer Society (2001) 54-59.
5. Freitag, D.: Information extraction from HTML: application of a general machine learning approach. In: Proceedings of AAAI'98, (1998), 517-523.
6. th European Conference, Helsinki, Finland, LNAI 2431, (2002), 299-310.
7. Kushmerick, N.: Wrapper induction: Efficiency and expressiveness. Artificial Intelligence, No.118, Elsevier Science (2000), 15-68.
8. Lenhert, W., Sundheim, B.: A Performance Evaluation of Text-Analysis Technologies. In: AI Magazine, 12(3) (1991), 81-94.
9. Mitchell, T.M.: Machine Learning, McGraw-Hill, (1997).
10. Muslea, I.: Extraction Patterns for Information Extraction Tasks: A Survey. In: AAAI-99 Workshop on Machine Learning for Information Extraction, (1999).
11. Neven, F.: Automata Theory for XML Researchers. SIGMOD Record, 31(3) (2002), 39-46.
12. Quinlan, J. R., Cameron-Jones, R. M.: Induction of Logic Programs: FOIL and Related Systems, New Generation Computing, 13, (1995), 287-312.