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» Learning to Extract Information for the Semantic Web
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WSDM
2009
ACM
198views Data Mining» more  WSDM 2009»
16 years 20 days ago
Measuring the similarity between implicit semantic relations using web search engines
Measuring the similarity between implicit semantic relations is an important task in information retrieval and natural language processing. For example, consider the situation whe...
Danushka Bollegala, Yutaka Matsuo, Mitsuru Ishizuk...
AH
2004
Springer
15 years 11 months ago
The Personal Reader: Personalizing and Enriching Learning Resources Using Semantic Web Technologies.
Traditional adaptive hypermedia systems have focused on providing adaptation functionality on a closed corpus, while Web search interfaces have delivered non-personalized informati...
Peter Dolog, Nicola Henze, Wolfgang Nejdl, Michael...
WWW
2002
ACM
16 years 6 months ago
Learning to map between ontologies on the semantic web
Ontologies play a prominent role on the Semantic Web. They make possible the widespread publication of machine understandable data, opening myriad opportunities for automated info...
AnHai Doan, Jayant Madhavan, Pedro Domingos, Alon ...
ACL
2006
15 years 7 months ago
URES : an Unsupervised Web Relation Extraction System
Most information extraction systems either use hand written extraction patterns or use a machine learning algorithm that is trained on a manually annotated corpus. Both of these a...
Binyamin Rosenfeld, Ronen Feldman
WWW
2005
ACM
16 years 6 months ago
Online curriculum on the semantic Web: the CSD-UoC portal for peer-to-peer e-learning
Online Curriculum Portals aim to support networks of instructors and learners by providing a space of convergence for enhancing peer-to-peer learning interactions among individual...
Dimitris Kotzinos, Sofia Pediaditaki, Apostolos Ap...