Eduard Dragut, Cyber Center Postdoctoral Researcher publishes book.
June 28, 2012
There are millions of searchable data sources on the Web and to a large extent their contents can only be reached through their own query interfaces. There is an enormous interest in making the data in these sources easily accessible. There are primarily two general approaches to achieve this objective. The first is to surface the contents of these sources from the deep Web and add the contents to the index of regular search engines. The second is to integrate the searching capabilities of these sources and support integrated access to them. In this book, we introduce the state-of-the-art techniques for extracting, understanding, and integrating the query interfaces of deep Web data sources. These techniques are critical for producing an integrated query interface for each domain. The interface serves as the mediator for searching all data sources in the concerned domain. While query interface integration is only relevant for the deep Web integration approach, the extraction and understanding of query interfaces are critical for both deep Web exploration approaches.
This book aims to provide in-depth and comprehensive coverage of the key technologies needed to create high quality integrated query interfaces automatically. The following technical issues are discussed in detail in this book: query interface modeling, query interface extraction, query interface clustering, query interface matching, query interface attribute integration, and query interface integration.
February 2, 2016
Cyber Center's Scientific Director of Big Data Analysis, Gesualdo Scutari, received an ONR Award for the project "Distributed On-line Optimization and Learning for Nonconvex Big Data Analytics over Dynamic Networks".Read Full Story
January 14, 2016
Peiran Song, graduate student of Gesualdo Scutari, Scientific Director of Big Data Analysis, received the 2015 IEEE Signal Processing Society Young Author Best Paper Award.Read Full Story