Adaptive Data Cleaning for Business Intelligence: The main goal of the project is the development of a full logical language for expressing data quality constraints (DQCs). Since data cleaning and data quality assessments are context dependent, the specification of DQCs will be extended with logic-based specifications of contexts. These contexts would provide (or constraint) the extensions of the predicates in DQCs. Another goal is to learn from data cleaning activities, with the purpose of deriving both specifications of DQCs and declarative rules for data cleaning. This project  is part of the NSERC Business Intelligence Network.

Business-driven data integration: The main goal of the project is to produce a new methodology for top-down integration driven by a conceptual model. This conceptual integration model would function as a semantic layer used by business users to specify what info is needed and in what form; the system must satisfy the user request in a (semi-) automatic fashion. This project  is part of the NSERC Business Intelligence Network.

Papyrus: A multinational European project for building a cross-discipline digital library engine that draws content from one domain and makes it available to a community of users who belong to a totally different discipline. Some ontology management research issues in this context include modeling concept evolution and semantic updates, and support for dynamic attributes (attributes for which domains and ranges are specified declaratively). 

DescribeX: A framework for structural summaries developed as part of my PhD thesis work. DescribeX supports constructing heterogeneous XML summaries that can be declaratively defined and manipulated by means of path regular expressions on axes. DescribeX not only captures most previous summary proposals but also provides a declarative way of defining entirely new ones. Some applications include exploring the heterogeneous structure of large XML collections and adapting DescribeX summaries to XPath query workloads. 

Temporal XML: A proposal for modeling and implementing temporal data in XML. It includes algorithms for validating temporal XML documents against the temporal constraints imposed by the model, as well as a framework for summarizing metadata that adds the time dimension to structural path summaries.

XPlainer: A language for providing visual explanations of XPath queries, a kind of data provenance of the answer. XPlainer-Eclipse, a tool that implements visual explanations using Java and Eclipse, can be found here.

ToX (the Toronto XML Server): A repository of XML data and metadata that provides the key functions in document management, including registering documents, indexing document structure (with ToXin), defining logical views of distributed data sources, and querying document content and structure.