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SEMWEB
2005
Springer
14 years 2 months ago
Ontology Learning and Reasoning - Dealing with Uncertainty and Inconsistency
Ontology Learning from text aims at generating domain ontologies from textual resources by applying natural language processing and machine learning techniques. It is inherent in t...
Peter Haase, Johanna Völker
WWW
2008
ACM
14 years 9 months ago
Learning deterministic regular expressions for the inference of schemas from XML data
Inferring an appropriate DTD or XML Schema Definition (XSD) for a given collection of XML documents essentially reduces to learning deterministic regular expressions from sets of ...
Geert Jan Bex, Wouter Gelade, Frank Neven, Stijn V...
TREC
1994
13 years 10 months ago
Indexing Structures Derived from Syntax in TREC-3: System Description
: This paper describes an approach to information retrieval based on a syntactic analysis of the document texts and user queries, and from that analysis, the construction of tree s...
Alan F. Smeaton, Ruairi O'Donnell, Fergus Kelledy
FLAIRS
2008
13 years 11 months ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon
CIDM
2007
IEEE
14 years 21 days ago
Efficient Kernel-based Learning for Trees
Kernel methods are effective approaches to the modeling of structured objects in learning algorithms. Their major drawback is the typically high computational complexity of kernel ...
Fabio Aiolli, Giovanni Da San Martino, Alessandro ...