Linking content in unstructured sources

This tutorial focuses on the task of automated information linking in text and multimedia sources. In any task where information is fused from different sources, this linking is a necessary step. To solve the problem we borrow methods from computational linguistics, computer vision and data mining. Although the main focus is on finding equivalence relations in the sources, the tutorial opens views on the recognition of other relation types. Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing]: linguistic processing; I.2.7 [Natural Language Processing]: text analysis, machine translation; I.2.10 [Vision and Scene Understanding]: video analysis General Terms Algorithms, Experimentation Keywords Content alignment and linking

• Type: Conference
• Year: 2010
• Where: WWW
• Authors: Marie-Francine Moens
• Keywords: Analysis General Terms, Internet Technology, Keywords Content Alignment, Tutorial Opens Views, WWW 2010