
Deep Web Query Interface Understanding and Integration by Eduard C Dragut
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.-
Datalog and Logic Databases
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Blockchain-Enabled Large-Scale Transaction Management
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Query Processing over Incomplete Databases
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On Uncertain Graphs
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Big Data Integration
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An Introduction to Duplicate Detection
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Full-Text (Substring) Indexes in External Memory
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Data-Intensive Workflow Management
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Database Replication
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Data Protection from Insider Threats
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Transaction Processing on Modern Hardware
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Multidimensional Databases and Data Warehousing
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Scalable Processing of Spatial-Keyword Queries
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Generating Plans from Proofs
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Query Processing over Uncertain Databases
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Probabilistic Ranking Techniques in Relational Databases
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Relational and XML Data Exchange
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The Four Generations of Entity Resolution
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Advanced Metasearch Engine Technology
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Privacy-Preserving Data Publishing
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Data Profiling
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Non-Volatile Memory Database Management Systems
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Skylines and Other Dominance-Based Queries
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Peer-to-Peer Data Management
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Web Page Recommendation Models
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Cloud-Based RDF Data Management
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User-Centered Data Management
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Uncertain Schema Matching
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Data Exploration Using Example-Based Methods
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Querying Graphs
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Access Control in Data Management Systems
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Keyword Search in Databases
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Community Search over Big Graphs
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Human Interaction with Graphs
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Data Management in Machine Learning Systems
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Natural Language Data Management and Interfaces
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Data Cleaning
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Blockchains
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Fault-Tolerant Distributed Transactions on Blockchain
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Similarity Joins in Relational Database Systems
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Query Answer Authentication
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Semantics Empowered Web 3.0
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Foundations of Data Quality Management
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Business Processes
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Information and Influence Propagation in Social Networks
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Incomplete Data and Data Dependencies in Relational Databases
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Probabilistic Databases
Eduard C. Dragut is currently a Postdoctoral Research Associate at Purdue University, Discovery Park, Cyber Center. He completed his Ph.D. degree in Computer Science from University of Illinois at Chicago in July 2010. His Ph.D. research focused on the integration of deep Web sources that provide/sell similar products/services. His research interests include databases, information retrieval, managing unstructured data, information extraction, opinion mining and retrieval, and Web data management. Projects he is actively pursuing include deep Web integration systems, online record linkage and fusion, large-scale entity disambiguation, creation of a sentiment word dictionary, and recently, cyber-infrastructure for scientific research. Weiyi Meng is currently a professor in the Department of Computer Science of the State University of New York at Binghamton. He received his Ph.D. in Computer Science from University of Illinois at Chicago in 1992. In the same year, he joined his current department as a faculty member. He is a co-author of two books “Principles of Database Query Processing for Advanced Applications” and “Advanced Metasearch Engine Technology.” He has published over 120 papers. He has served as general chair and program chair of several international conferences and as program committee members of over 50 international conferences. He is on the editorial boards of the World Wide Web Journal, the Frontiers of Computer Science journal, and a member of the Steering Committee of the WAIM conference series. In recent years, his research has focused on metasearch engines, Web data integration, Internet-based Information Retrieval, information extraction, sentiment analysis, and information truthfulness and trustworthiness.He has done pioneering work in large-scale metasearch engines. He was a co-founder of an Internet company (Webscalers) and served as its president. Webscalers developed the world’s largest news metasearch engine AllInOneNews. Clement T. Yu isa professor of computer science at the University of Illinois at Chicago. His research interests include multimedia information retrieval, metasearch engine, database management, and applications to healthcare. He has published more than 200 papers in these areas and he is a co-author of two books “Principles of Database Query Processing for Advanced Applications” and “Advanced Metasearch Engine Technology.” He served as chairman of the ACM SIGIR and has extensive experience as a consultant in the fields of query processing in distributed and heterogeneous environments, including document retrieval. He was an advisory committee member for the National Science Foundation and was on the editorial boards of IEEE Transactions on Knowledge and Data Engineering, the Journal of Distributed and Parallel Databases, the International Journal of Software Engineering and Knowledge Engineering, and WWW: Internet and Web Information Systems. He also served as the General Chair of the ACM SIGMOD Conference and Program Committee Chair of the ACM SIGIR Conference. He is a co-founder of two Internet companies, Webscalers and PharmIR.
| SKU | Unavailable |
| ISBN 13 | 9783031007613 |
| ISBN 10 | 3031007611 |
| Title | Deep Web Query Interface Understanding and Integration |
| Author | Eduard C Dragut |
| Series | Synthesis Lectures On Data Management |
| Condition | Unavailable |
| Binding Type | Paperback |
| Publisher | Springer International Publishing AG |
| Year published | 2012-06-14 |
| Number of pages | 150 |
| Cover note | Book picture is for illustrative purposes only, actual binding, cover or edition may vary. |
| Note | Unavailable |














































