Text Retrieval Systems for the Web
Programming and Computing Software
IEEE Internet Computing
Using Implicit Relevance Feedback in a Web Search Assistant
WI '01 Proceedings of the First Asia-Pacific Conference on Web Intelligence: Research and Development
GAMA-Mall - Shopping in Communities
WELCOM '01 Proceedings of the Second International Workshop on Electronic Commerce
Dialogue for Web Search Utilizing Automatically Acquired Domain Knowledge
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
Ontological inference for image and video analysis
Machine Vision and Applications
Using community-generated contents as a substitute corpus for metadata generation
International Journal of Advanced Media and Communication
Discovering Groups of Sibling Terms from Web Documents with XTREEM-SG
Journal on Data Semantics XI
The XTREEM Methods for Ontology Learning from Web Documents
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
Discovering semantic sibling associations from web documents with XTREEM-SP
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Discovering semantic sibling groups from web documents with XTREEM-SG
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
Discovering multi terms and co-hyponymy from XHTML documents with XTREEM
KDXD'06 Proceedings of the First international conference on Knowledge Discovery from XML Documents
Learning of semantic sibling group hierarchies - K-means vs. bi-secting-K-means
DaWaK'07 Proceedings of the 9th international conference on Data Warehousing and Knowledge Discovery
Hi-index | 0.00 |
Together with the rapidly growing amount of online data we register an immense need for intelligent search engines that access a restricted amount of data as found in intranets or other limited domains. This sort of search engines must go beyond simple keyword indexing/matching, but they also have to be easily adaptable to new domains without huge costs. This paper presents a mechanism that addresses both of these points: first of all, the internal document structure is being used to extract concepts which impose a directory-like structure on the documents similar to those found in classified directories. Furthermore, this is done in an efficient way, which is largely language independent and does not make assumptions about the document structure.