Sonia Bergamaschi

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Providing an integrated access to multiple heterogeneous sources is a challenging issue in global information systems for cooperation and interoperability. In this context, two fundamental problems arise. First, how to determine if the sources contain semantically related information, that is, information related to the same or similar real-world(More)
and the AgentLink Community. This document may be copied and redistributed provided that all copies are complete and preserve this notice. Multiple copying for instructional purposes is permitted but should be notified to admin@agentlink.org Neither the editors, authors, contributors, reviewers nor supporters accept any responsibility for loss or damage(More)
Keyword queries offer a convenient alternative to traditional SQL in querying relational databases with large, often unknown, schemas and instances. The challenge in answering such queries is to discover their intended semantics, construct the SQL queries that describe them and used them to retrieve the respective tuples. Existing approaches typically rely(More)
1 Overview The goal of this demonstration is to present the main features of a Mediator component, Global Schema Builder, of an I3 system, called MOMIS (Mediator envirOnment for Multiple Information Sources) 1]. MOMIS 12 has been conceived to provide an integrated access to heterogeneous information stored in traditional databases (e.g., relational,(More)
Developing intelligent tools for the integration of information extracted from multiple heterogeneous sources is a challenging issue to e ectively exploit the numerous sources available on-line in global information systems. In this paper, we propose intelligent, tool-supported techniques to information extraction and integration from both structured and(More)
We present an intelligent tool for the acquisition of object-oriented schemata supporting multiple inheritance, which preserves taxonomy coherence and performs taxonomic inferences. Its theoretical framework is based onterminological logics, which have been developed in the area of artificial intelligence. The framework includes a rigorous formalization of(More)
Taxonomic reasoning is a typical task performed by many AI knowledge representation systems. In this paper, the effectiveness of taxonomic reasoning techniques as an active support to knowledge acquisition and conceptual schema design is shown. The idea developed is that by extending conceptual models with <italic>defined concepts</italic> and giving them(More)
The web explosion, both at internet and intranet level, has transformed the electronic information system from single isolated node to an entry points into a worldwide network of information exchange and business transactions. Business and commerce has taken the opportunity of the new technologies to define the e-commerce activity. An electronic marketplace(More)
2. ODB-QOPTIMIZER : the tool ODB-QOPTIMIZER is a ODMG 93 compliant tool for the schema validation and semantic query optimization. The approach is based on two fundamental ingredients. The first one is the OCDL description logics (DLs) proposed as a common formalism to express class descriptions, a relevant set of integrity constraints rules (IC rules) and(More)