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» Learning to Extract Information for the Semantic Web
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SAC
2010
ACM
14 years 2 months ago
A semantic web-based approach for personalizing news
Hermes is an ontology-based framework for building news personalization services. This framework consists of a news classification phase, which classifies the news, a knowledge ...
Kim Schouten, Philip Ruijgrok, Jethro Borsje, Flav...
OTM
2010
Springer
13 years 7 months ago
Integrating Keywords and Semantics on Document Annotation and Search
This paper describes GoNTogle, a framework for document annotation and retrieval, built on top of Semantic Web and IR technologies. GoNTogle supports ontology-based annotation for ...
Nikos Bikakis, Giorgos Giannopoulos, Theodore Dala...
SIGIR
2009
ACM
14 years 3 months ago
Smoothing clickthrough data for web search ranking
Incorporating features extracted from clickthrough data (called clickthrough features) has been demonstrated to significantly improve the performance of ranking models for Web sea...
Jianfeng Gao, Wei Yuan, Xiao Li, Kefeng Deng, Jian...
SIGIR
2008
ACM
13 years 8 months ago
Advances in information and knowledge management
Several research areas today overlap between the tracks of databases, information retrieval and knowledge management, such as natural language processing, semantic web, digital li...
Aparna S. Varde, Jian Pei
AAAI
2010
13 years 10 months ago
Multi-Task Active Learning with Output Constraints
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Yi Zhang 0010