22nd International Conference on Data Engineering Workshops (ICDEW'06)

We consider pragmatic issues in applying constraint-based theories (such as that developed for data exchange) to a variety of problems. We identify disconnects between theoreticians and tool developers, and propose principles for creating problem units that are appropriate for tools. Our Downstream Principle then explains why automated schema mapping is a prerequisite to transitioning schemamatchi... View full abstract»

Large data integration projects must often cope with undocumented data sources. Schema discovery aims at automatically finding structures in such cases. An important class of relationships between attributes that can be detected automatically are inclusion dependencies (IND), which provide an excellent basis for guessing foreign key constraints. INDs can be discovered by comparing the sets of dist... View full abstract»

A key aspect of any data integration endeavor is establishing a transformation that translates instances of one or more source schemata into instances of a target schema. This schema integration task must be tackled regardless of the integration architecture or mapping formalism. In this paper we provide a task model for schema integration. We use this breakdown to motivate a workbench for schema ... View full abstract»

During the wrapping of web interfaces ontological know-ledge is important in order to support an automated interpretation of information. The development of ontologies is a time consuming issue and not realistic in global contexts. On the other hand, the web provides a huge amount of knowledge, which can be used instead of ontologies. Three common classes of web knowledge sources are: Web Thesauri... View full abstract»

Current applications are often forced to filter the richness of datasources in order to reduce the information noise the user is subject to. We consider this aspect as a critical issue of applications, to be factorized at the data management level. The Context-ADDICT system, leveraging on ontology-based context and domain models, is able to personalize the data to be made available to the user by ... View full abstract»

Schema matching has been historically difficult to automate. Most previous studies have tried to find matches by exploiting information on schema and data instances. However, schema and data instances cannot fully capture the semantic information of the databases. Therefore, some attributes can be matched to improper attributes. To address this problem, we propose a schema matching framework that ... View full abstract»

The widespread explosion of Web accessible resources has lead to a new challenge of locating all relevant resources and identifying the best ones to answer a query. This challenge has to address the difficult task of ranking the resources based on user needs, as well as the more expensive computational task of determining all the solutions to answer a query. In this paper, we define a Top K proble... View full abstract»

This paper presents an audio-visual emotion database that can be used as a reference database for testing and evaluating video, audio or joint audio-visual emotion recognition algorithms. Additional uses may include the evaluation of algorithms performing other multimodal signal processing tasks, such as multimodal person identification or audio-visual speech recognition. This paper presents the d... View full abstract»

Typically, multimedia database management systems process content-based image retrieval queries by extracting a set of features from each data object as it is inserted into the underlying database. By expressing queries that are based upon these features, users are able to retrieve the data objects back from the database. Previous research has demonstrated that one method of improving the effectiv... View full abstract»