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How to make a semantic web browser
D. Quan, and D. Karger (2004)
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Ontology-Driven Document Enrichment: Principles and Case Studies
E. Motta, S. Buckingham, and J. Domingue (1999)
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Comparing Ontologies--- Similarity Measures and a Comparison Study
A. Maedche, and S. Staab (2001)
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Gimme' the context: Context-driven automatic semantic annotation with c-pankow
P. Cimiano, G. Ladwig, and S. Staab (2005)
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Learning to Harvest Information for the Semantic Web
F. Ciravegna, S. Chapman, A. Dingli, and Y. Wilks (2004)
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Authoring and annotation of web pages in CREAM
S. Handschuh, and S. Staab (2002)
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SemTag and Seeker: Bootstrapping the Semantic Web via Automated Semantic Annotation
S. Dill, N. Eiron, D. Gibson, D. Gruhl, and R. Guha (2003)
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Conceptual linking: ontology-based open hypermedia
Les Carr, Wendy Hall, Sean Bechhofer, and Carole A. Goble World Wide Web, page 334--342. (2001)
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Eliminating noisy information in web pages for data mining
L. Yi, and B. Liu (2003)
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Annotating Virtual Web Documents with DynamicMarks
Z. Fiala, and K. Meissner (2003)
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DOSE: a Distributed Open Semantic Elaboration Platform
D. Bonino, F. Corno, and L. Farinetti (2004)
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Integrating working and learning: a document enrichment approach
P. Mulholland, Z. Zdrahal, J. Domingue, and M. Hatala (2000)
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Explication of Design Requirements Through Reflection on Solutions
M. Dzbor (2000)
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A Knowledge-Based News Server Supporting Ontology-Driven Story Enrichment and Knowledge Retrieval
John Domingue, and Enrico Motta Knowledge Acquisition, Modeling and Management, page 103--120. (1999)
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End-user software visualizations for fault localization
J. Ruthru, E. Creswick, M. Burnett, C. Cook, S. Prabhakararao, and M. Main (2003)
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Harnessing curiosity to increase correctness in end-user programming
A. Wilson, M. Burnett, L. Beckwith, O. Granatir, L. Casburn, C. Cook, M. Durham, and G. Rothermel (2003)
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Wrapper induction for information extraction
N. Kushmerick, D. Weld, and R. Doorenbos (1997)
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A hierarchical approach to wrapper induction
I. Muslea, S. Minton, and C. Knoblock (1999)
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Learning Hidden Markov Model Structure for Information Extraction
Kristie Seymore, Andrew Mccallum, and Roni Rosenfeld AAAI 99 Workshop on Machine Learning for Information Extraction, (1999)
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Information extraction with HMM structures learned by stochastic optimization
D. Freitag, and A. Mccallum (2000)
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