Many machine learning and data mining tasks depend on functions that estimate similarity
between instances. Similarity computations are particularly important in clustering and …

The Web contains a vast amount of information on an abundance of topics, much of which is
encoded as structured data indexed by local databases. However, these databases are …

With increased dependence on efficient use and inclusion of diverse corporate and Web
based data sources for business information analysis, financial information providers will …

The problem of identifying objects in databases that refer to the same real world entity, is
known, among others, as duplicate detection or record linkage. Objects may be duplicates …

XML, Web services, and the Semantic Web have opened the door for new and exciting
information integration applications. Information sources on the web are controlled by …

XML, web services, and the semantic web have opened the door for new and exciting
informationintegration applications. Information sources on the web are controlled by …

Robust gesture recognition in video requires segmentation of the meaningful gestures from
a whole body gesture sequence. This is a challenging problem because it is not …

Linked Data publishing has brought about a novel “Web of Data”: a wealth of diverse,
interlinked, structured data published on the Web. These Linked Datasets are described …

In this work we argue for the definition a knowledge-based entity matching framework for the
implementation of a reliable and incrementally scalable solution. Such knowledge base is …

Web search engines such as Google, Yahoo! MSN/Bing, and Ask are far from the
consummate Web search solution: they do not typically produce direct answers to queries …