Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Foundations of statistical natural language processing
Foundations of statistical natural language processing
Using text processing techniques to automatically enrich a domain ontology
Proceedings of the international conference on Formal Ontology in Information Systems - Volume 2001
Migrating data-intensive web sites into the Semantic Web
Proceedings of the 2002 ACM symposium on Applied computing
Ontology Learning for the Semantic Web
IEEE Intelligent Systems
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
Term Weighting Approaches in Automatic Text Retrieval
Term Weighting Approaches in Automatic Text Retrieval
Automatic acquisition of hyponyms from large text corpora
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 2
ACM SIGKDD Explorations Newsletter
Finding new terminology in very large corpora
Proceedings of the 3rd international conference on Knowledge capture
Identification of relevant terms to support the construction of domain ontologies
HLTKM '01 Proceedings of the workshop on Human Language Technology and Knowledge Management - Volume 2001
A methodology for clustering XML documents by structure
Information Systems
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
Ontology Learning and Population from Text: Algorithms, Evaluation and Applications
A nonparametric method for extraction of candidate phrasal terms
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A clustering method based on path similarities of XML data
Data & Knowledge Engineering
Finding synonyms using automatic word alignment and measures of distributional similarity
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
Identifying synonyms among distributionally similar words
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
New experiments in distributional representations of synonymy
CONLL '05 Proceedings of the Ninth Conference on Computational Natural Language Learning
Discovering semantic sibling associations from web documents with XTREEM-SP
DaWaK'06 Proceedings of the 8th international conference on Data Warehousing and Knowledge Discovery
Building medical ontologies based on terminology extraction from texts: methodological propositions
AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
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
Proceedings of the First international conference on Knowledge Discovery from XML Documents
KDXD'06 Proceedings of the First international conference on Knowledge Discovery from XML Documents
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
Domain relevance on term weighting
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
Automatically structuring domain knowledge from text: An overview of current research
Information Processing and Management: an International Journal
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Ontology Learning is up to now dominated by techniques which use text as input. There are only few methods which use a different data source. The techniques which use highly structured data as input have the disadvantage that such data sources are rare. On the other side, there are enormous amounts of Web content present today. We present the XTREEM (Xhtml TREE Mining) methods which enable Ontology Learning from Web Documents. Those methods rely on the semi-structure of Web Documents. The added value of Web document markup is exploited by the XTREEM methods. We show methods for the acquisition of terms, synonyms and semantic relations. The XTREEM techniques are based on the structure of Web documents; they are domain and language independent. There is no need for NLP software nor for training. They do not rely on domain or document collection specific resources or background knowledge, such as patterns, rules or other heuristics; nor do they rely on manually assembling a document collection.