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Extracting information from semistructured documents is a very hard task, and is going to become more and more critical as the amount of digital information available on the Internet grows. Indeed, documents are often so large that the data set returned as answer to a query may be too big to convey interpretable knowledge. In this paper, we describe an(More)
Common to all aCtors in today's information world is the problem of lowering the " information noise, " both reducing the amount of data to be stored and accessed, and enhancing the " precision " according to which the available data fit the application requirements. Thus, fitting data to the application needs is tantamount to fitting a dress to a person,(More)
This paper presents a methodology to derive views over a relational database by applying a sequence of appropriately defined operations to the global schema. Such tailoring and composition process aims at offering personalized views over the database schema, so as to improve its ability to support the new needs of customers, support evolutionary software(More)
The large volume and nature of data available to the casual users and programs motivate the increasing interest of the database community in studying flexible and efficient techniques for extracting and querying semistructured data. On the other hand, efficient methods have been discovered for solving the so-called model-checking problem for some modal(More)
XML is a rather verbose representation of semistructured data, which may require huge amounts of storage space. We propose a summarized representation of XML data, based on the concept of instance pattern, which can both provide succinct information and be directly queried. The physical representation of instance patterns exploits itemsets or association(More)
The role of the eXtensible Markup Language (XML) is becoming very important in the research fields focusing on the representation, the exchange, and the integration of information coming from different data sources and containing information related to various contexts such as, for example, medical and biological data. Extracting knowledge from XML datasets(More)
Context-aware systems are pervading everyday life, therefore context modeling is becoming a relevant issue and an expanding research field. This survey has the goal to provide a comprehensive evaluation framework, allowing application designers to compare context models with respect to a given target application; in particular we stress the analysis of(More)
The widespread use of mobile appliances, with limitations in terms of storage, power, and connectivity capability, requires to minimize the amount of data to be loaded on user's devices, in order to quickly select only the information that is really relevant for the users in their current contexts: in such a scenario, specific methodologies and techniques(More)