Abstract. Poor quality data may be detected and corrected by performing various quality assurance activities that rely on techniques with different efficacy and cost. In this pape...
Lei Jiang, Daniele Barone, Alexander Borgida, John...
The paper presents a study on large-scale automatic extraction of acronyms and associated expansions from Web data and from the user interactions with this data through Web search...
We study the problem of offering publish/subscribe functionality on top of structured overlay networks using data models and languages from IR. We show how to achieve this by ext...
Abstract. We show how to specify and use the metadata for a virtual and relational data integration system under the local-as-view (LAV) approach. We use XML and RuleML for represe...
The identification and analysis of the knowledge available in document form is a key element of corporate knowledge management. In engineering-intensive organizations, it involves...