Current data integration techniques are successful at managing well-defined and wellunderstood data integration tasks, but do not cope well with uncertainty. However, the amount of uncertain data is growing with the number and variety of data sources being integrated, both in traditional data integration tasks s.a. enterprise data integration, and in next generation integration problems, s.a. c...

This position statement makes the case that, since “exact” data integration is AI complete, we should seriously consider “best-effort” data integration. I will start by briefly summarizing the development of the field of data integration. Next, I discuss best-effort data integration as one of the next logical research directions, then sketch a simple observation that can be leveraged to examine...

The World Wide Web offers a vast array of data in many forms. The majority of this data is structured for presentation not to machines but to humans, in the form of HTML tables, lists, and forms-based search interfaces. These extremely heterogeneous sources were created by individuals around the world and cover a very broad collection of topics in over 100 languages. Building systems that offer...

Data integration is the process by which data from heterogeneous data sources are conceptually integrated into a single cohesive data set. In recent years agents have been increasingly used in information systems to promote performance. In this work we propose a modeling framework for agent oriented data integration to demonstrate how agents can support this process. We provide a systematic ana...

A newspaper content management system has to deal with a very heterogeneous information space as the experience in the Diari Segre newspaper has shown us. The greatest problem is to harmonise the different ways the involved users (journalist, archivists...) structure the newspaper information space, i.e. news, topics, headlines, etc. Our approach is based on ontology and differentiated universe...

In this report, I will present the detail on the implementation of a Global-as-View (GAV) algorithm for the data integration problem. The actual implementation is written using Java; it also features the extension of negation integration, term unification and recursive rule handling. I will demonstrate the results from the sample execution of the program and explain its interaction with standar...

Information integration plays an important role in academic environments since it provides a comprehensive view of education data and enables mangers to analyze and evaluate the effectiveness of education processes. However, the problem in the traditional information integration is the lack of personalization due to weak information resource or unavailability of analysis functionality. In this ...