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This book constitutes the refereed proceedings of the 6th Metadata and Semantics Research Conference, MTSR 2012, held in Cádiz, Spain, in November 2012. The 33 revised papers presented were carefully reviewed and selected from 85 submissions. The papers are organized in a general, main track and several others: a track on metadata and semantics for open access repositories, research information systems and infrastructures, a second on metadata and semantics for cultural collections and applications, and finally one on metadata and semantics for agriculture, food and environment.

Computer. Automation --- Artificial intelligence. Robotics. Simulation. Graphics --- Information systems --- Computer architecture. Operating systems --- Computer Science. --- Information Storage and Retrieval. --- Artificial Intelligence (incl. Robotics). --- Database Management. --- Document Preparation and Text Processing. --- Information Systems Applications (incl. Internet). --- Computer science. --- Database management. --- Information storage and retrieval systems. --- Artificial intelligence. --- Text processing (Computer science. --- Informatique --- Bases de données --- Systèmes d'information --- Intelligence artificielle --- Gestion

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This book provides extensive insight into the possibilities and challenges of XML in building new information management solutions in networked organizations. After a brief introduction to Web communication features and XML fundamentals, the book examines the benefits of adopting XML and illustrates various types of XML use: XML in document management; XML for data-centric and multimedia components; XML as a format for metadata, including metadata for the Semantic Web; and XML in support of data interchange between software applications and among organizations. The challenges of adopting XML in large-scale information management are also discussed. In addition, applications across a broad spectrum are examined and numerous case studies pertaining to the adoption of XML are presented. The book is particularly suitable for courses offered in Information Studies, Information Systems, or Information Technology. It also serves as an excellent practical guide for professionals in information management and provides important support material for courses in Computer Science and in Business.

XML (Document markup language). --- XML (Document markup language) --- Engineering & Applied Sciences --- Computer Science --- Extendible Markup Language (Document markup language) --- eXtensible Markup Language (Document markup language) --- Computer science. --- Information technology. --- Business --- Computers. --- Text processing (Computer science). --- Computer Science. --- Information Systems Applications (incl. Internet). --- Document Preparation and Text Processing. --- Information Systems and Communication Service. --- IT in Business. --- Data processing. --- Document markup languages

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This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Workshop on Graphics Recognition (GREC 2011), held in Seoul, Korea, September 15-16, 2011. The 25 revised full papers presented were carefully selected from numerous submissions. Graphics recognition is a subfield of document image analysis that deals with graphical entities in engineering drawings, sketches, maps, architectural plans, musical scores, mathematical notation, tables, and diagrams. Accordingly the conference papers are organized in 5 technical sessions, covering the topics such as map and ancient documents, symbol and logo recognition, sketch and drawings, performance evaluation and challenge processing.

Computer vision --- Optical pattern recognition --- Image processing --- Engineering & Applied Sciences --- Applied Physics --- Computer Science --- Digital techniques --- Machine vision --- Vision, Computer --- Computer science. --- Text processing (Computer science). --- Image processing. --- Computer Science. --- Document Preparation and Text Processing. --- Image Processing and Computer Vision. --- Natural language processing (Computer science). --- Computer vision. --- Natural Language Processing (NLP). --- Artificial intelligence --- Pattern recognition systems --- NLP (Computer science) --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Optical equipment

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From proposal to examination, producing a dissertation or thesis is a challenge. Grounded in decades of experience with research training and supervision, this fully updated and revised edition takes an integrated, down-to-earth approach drawing on case studies and examples to guide you step-by-step towards productive success. Early chapters frame the tasks ahead and show you how to get started. From there, practical advice and illustrations take you through the elements of formulating research questions, working with software, and purposeful writing of each of the different kinds of chapters, and finishes with a focus on revision, dissemination and deadlines. How to Write a Better Thesis presents a cohesive approach to research that will help you achieve your goals.   David Evans was Reader and Associate Professor in the Faculty of Architecture Building and Planning, University of Melbourne. Paul Gruba is Senior Lecturer in the School of Languages and Linguistics, University of Melbourne. Justin Zobel is Professor in the Department of Computing and Information Systems, University of Melbourne.

Dissertations, Academic --- Report writing. --- Authorship. --- Computer science. --- Science. --- Text processing (Computer science). --- Popular works. --- Computer Science. --- Computer Science, general. --- Learning & Instruction. --- Document Preparation and Text Processing. --- Popular Science, general. --- Science, general. --- Natural language processing (Computer science). --- Science (General). --- Natural Language Processing (NLP). --- Science, Humanities and Social Sciences, multidisciplinary. --- Informatics --- Science --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Learning. --- Instruction. --- Learning process --- Comprehension --- Education --- Research paper writing --- Research report writing --- Term paper writing --- Authorship --- Academic dissertations --- Programs, Academic --- Theses --- Thesis writing --- Universities and colleges --- Academic disputations --- Dissertations

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Recently, there has been an increased interest in the research and development of techniques for components of complete document analysis systems. In recognition of this trend, a series of workshops on Document Analysis Systems commenced in 1994, under the leadership of Henry Baird. The first workshop, held in Kaiserslautern, Germany, in October, 1994, was chaired by Andreas Dengel and Larry Spitz. The second workshop on Document Analysis Systems was held in Malvern, PA, USA, in October, 1996, chaired by Jonathan J. Hull and Suzanne Liebowitz Taylor. The DAS workshop has been one of the most prestigious technical meetings, bringing together a large number of scientists and engineers from all over the world to express their innovative ideas and report on their latest achievements in the area of document analysis systems. The papers in this special book edition were rigorously selected from the Third IAPR Workshop on Document Analysis Systems (DAS’98), held in Nagano, Japan, on 4 - 6 November 1998. It is worth mentioning that the papers were chosen for their original and substantial contributions to the workshop theme and this special book edition. From among the 53 papers that were presented by authors from 11 countries at the DAS’98 after critical reviews by at least three experts, we carefully selected 29 papers for this special book edition. Most of the contributions in this edition have been expanded or extensively revised to include helpful discussions, suggestions, or comments made during the workshop.

Optical pattern recognition --- Text processing (Computer science) --- Document imaging systems --- Image analysis --- Applied Physics --- Engineering & Applied Sciences --- Computer science. --- Text processing (Computer science). --- Image processing. --- Pattern recognition. --- Computer Science. --- Pattern Recognition. --- Image Processing and Computer Vision. --- Document Preparation and Text Processing. --- Optical pattern recognition. --- Computer vision. --- Natural language processing (Computer science). --- Natural Language Processing (NLP). --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Machine vision --- Vision, Computer --- Image processing --- Pattern recognition systems --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Integrated optics --- Photonics --- Computers --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception --- Optical equipment