Design, Performance, and Analysis of Innovative Information Retrieval

Design, Performance, and Analysis of Innovative Information Retrieval

Zhongyu (Joan) Lu (University of Huddersfield, UK)
Release Date: August, 2012|Copyright: © 2013 |Pages: 508
ISBN13: 9781466619753|ISBN10: 1466619759|EISBN13: 9781466619760|DOI: 10.4018/978-1-4666-1975-3


Daily procedures such as scientific experiments and business processes have the potential to create a huge amount of data every day, hour, or even second, and this may lead to a major problem for the future of efficient data search and retrieval as well as secure data storage for the world’s scientists, engineers, doctors, librarians, and business managers.

Design, Performance, and Analysis of Innovative Information Retrieval examines a number of emerging technologies that significantly contribute to modern Information Retrieval (IR), as well as fundamental IR theories and concepts that have been adopted into new tools or systems. This reference is essential to researchers, educators, professionals, and students interested in the future of IR.

Topics Covered

The many academic areas covered in this publication include, but are not limited to:

  • Algorithms
  • Business processes management
  • Content-Based Image Retrieval
  • Data Modeling
  • Data technology
  • Document engineering
  • Information Retrieval
  • Relational Databases
  • Retrieval efficiency and accuracy
  • XML technology

Reviews and Testimonials

This work is aimed at researchers, academics, advanced students, and practitioners using XML stream data processing and concerned with the design of information retrieval systems in higher education and industry. International contributors in computer science, software engineering, and information science report on research in key word search in XML and XML stream processing technologies, then describe methods for dealing with large amounts of XML documents generated by legend systems, focusing on compression without decompression through a system called XCVQ-QP. Section 3 presents work on automatic mapping of XML documents into relational databases, focusing on the system MAXDOR, and section 4 investigates multi-feature query-language-based classification in image retrieval. Section 5 presents collaborative approaches in business process management in information retrieval, concentrating on these methods: Petri-net for analysis of business process modeling methods, pi-calculus for advanced branching, rule based approaches for process modeling, and WS-CDL. Lu is affiliated with the University of Huddersfield, UK.

– Book News Inc. Portland, OR

Table of Contents and List of Contributors

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Author(s)/Editor(s) Biography

Zhongyu (Joan) Lu is Professor in Informatics at the University of Huddersfield (UK). Her extensive research covers information access, retrieval and visualization, XML technology, object oriented technologies, agent technology, data management systems, security issues and Internet computing. She has been an invited speaker for industrial-oriented events and published 5 academic books and more than 160 papers. Professor Lu has acted as the founder and a program chair for the International XML Technology workshop and XMLTech (USA) for 11 years (2003-2011). She also serves as Chair of 5 separate international conferences, is a regular reviewer for several international journals, and a committee member for 16 international conferences. She specializes in XML technology and mobile computing with image retrieval through the latest wireless devices. Professor Lu serves as a member of the British Computer Society (BCS), BCS examiner of Advanced Database Management Systems, and fellow of the Higher Education Academy (UK). She is a founder and Editor-in-Chief for the International Journal of Information Retrieval Research.