Foundations of statistical natural language processing
Foundations of statistical natural language processing
EKAW '99 Proceedings of the 11th European Workshop on Knowledge Acquisition, Modeling and Management
Exploiting Structure for Intelligent Web Search
HICSS '01 Proceedings of the 34th Annual Hawaii International Conference on System Sciences ( HICSS-34)-Volume 4 - Volume 4
Web-scale information extraction in knowitall: (preliminary results)
Proceedings of the 13th international conference on World Wide Web
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
ACM SIGKDD Explorations Newsletter
A clustering method based on path similarities of XML data
Data & Knowledge Engineering
Finding instance names and alternative glosses on the web: wordnet reloaded
CICLing'05 Proceedings of the 6th international conference on Computational Linguistics and Intelligent Text Processing
Clustering XML documents using structural summaries
EDBT'04 Proceedings of the 2004 international conference on Current Trends in Database Technology
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
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
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
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The semi-automatic extraction of semantics for ontology enhancement or semantic-based information retrieval encompasses several open challenges. There are many findings on the identification of vertical relations among concepts, but much less on indirect, horizontal relations among concepts that share a common, a priori unknown parent, such as Co-Hyponyms and Co-Meronyms. We propose the method XTREEM-SP (Xhtml TREE Mining for Sibling Pairs) for the discovery of such binary "sibling"-relations between concepts of a given vocabulary. While conventional methods process an appropriately prepared corpus, XTREEM-SP operates upon an arbitrarily heterogeneous Web Document Collection on a given topic and returns sibling relations between concepts associated to it. XTREEM-SP is independent of domain and language and does not rely on linguistic preprocessing nor on background knowledge beyond the ontology it is asked to enhance. We present our evaluation results with two gold standard ontologies and show that XTREEM-SP performs well, while being computationally inexpensive.