Aspects of the P-Norm model of information retrieval: syntactic query generation, efficiency, and theoretical properties
Information retrieval: data structures and algorithms
Information retrieval: data structures and algorithms
The effect of adding relevance information in a relevance feedback environment
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
What the query told the link: the integration of hypertext and information retrieval
HYPERTEXT '97 Proceedings of the eighth ACM conference on Hypertext
Information retrieval on the web
ACM Computing Surveys (CSUR)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
Extended Boolean Information Retrieval
Extended Boolean Information Retrieval
Extending the boolean and vector space models of information retrieval with p-norm queries and multiple concept types
A Scalable Hybrid Approach for Extracting Head Components from Web Tables
IEEE Transactions on Knowledge and Data Engineering
Extraction of meaningful tables from the internet using decision trees
IEA/AIE'2003 Proceedings of the 16th international conference on Developments in applied artificial intelligence
Discriminating Meaningful Web Tables from Decorative Tables Using a Composite Kernel
WI-IAT '08 Proceedings of the 2008 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
Mining table information on the internet
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Web table discrimination with composition of rich structural and content information
Applied Soft Computing
| Hi-index | 0.00 |
Information retrieval services on the Internet have tried to provide Internet users with information processed as the way users want. These information retrieval systems merely show html pages that include the index word abstracted from the user's query. There are a number of difficulties to be overcome in the present technology which could be solved by considering semantics in html documents. However it can heighten the precision of retrieval results by using the structural information of the document as an alternative source of information. The tabular form, which appears on ordinary documents, usually has the most relevant information. Based on the similarity to a Web's html document, we try to improve the precision of results by analyzing the table on html documents. Our main purpose here is to do table parsing and construct a dictionary of table indexes for applying to our information retrieval system and thus enhance the accuracy.