Retrieving and managing semi-structured and business process data

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XML is the dominant format for web data, and is particularly suitable to represent the many forms of semi-structured data present in web pages, blogs, wikis, RSS feeds, etc.XML is also the wire format for data exchanged via web services, and as such is at the foundation of modern Business Process Management approaches that are built on top of service-oriented architectures.The objectives of our research are to develop an array of novel techniques for XML data management that can significantly contribute to the retrieval and management of both semi-structured and business process data.We propose to start by addressing the problem of describing and visualizing the structure of large collections of XML documents using summaries.We are also interested in techniques for processing retrieval queries that combine structural constraints with keyword search. Supporting these queries in a way that can be answered as efficiently and effectively as in traditional keyword searching is an ambitious goal for XML data management systems. To begin, we will address the challenge of how to measure the effectiveness of retrieval results obtained from XML collections.We intend to apply the preceding techniques to facilitate the retrieval and the description of data exchanged among business processes.