• Publications
  • Influence
Incrementally improving dataspaces based on user feedback
TLDR
We present techniques that aim to support schema mapping specification through interaction with end users in a pay-as-you-go fashion. Expand
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A safe regression test selection technique for database-driven applications
TLDR
We show why this is the case, and propose a new definition of safety for regression test selection that takes into account the interactions of the program with database state. Expand
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Automatic Annotation of Web Services Based on Workflow Definitions
TLDR
In this paper, we show how information can be inferred about the semantics of operation parameters based on their connections to other (annotated) operation parameters within tried-and-tested workflows. Expand
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Program slicing in the presence of database state
TLDR
We propose an approach to supporting slicing over both program and database state, which requires the introduction of two new forms of data dependency into the standard program dependency graph. Expand
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User Feedback as a First Class Citizen in Information Integration Systems
TLDR
We present generic operations that underpin the management of feedback within information integration systems and that are applicable to feedback of dierent kinds, potentially supplied by multiple users. Expand
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Feedback-based annotation, selection and refinement of schema mappings for dataspaces
TLDR
We explore an approach for incrementally annotating schema mappings using feedback obtained from end users. Expand
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An intensional approach to the specification of test cases for database applications
TLDR
We propose a new approach in which the database states required for testing are specified intensionally, as constrained queries, that can be used to prepare the database for testing automatically. Expand
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Quality views: capturing and exploiting the user perspective on data quality
TLDR
We propose a framework for the specification of users' quality processing requirements, called quality views. Expand
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Managing information quality in e-science: the qurator workbench
TLDR
Data-intensive e-science applications often rely on third-party data found in public repositories, whose quality is largely unknown. Expand
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KRAFT: Knowledge Fusion from Distributed Databases and Knowledge Bases
TLDR
The KRAFT project aims to investigate how a distributed architecture can support the transformation and reuse of a particular class of knowledge, namely constraints, and to fuse this knowledge so as to gain added value from the combination of information. Expand
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