The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, includingphotographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.

The scope of this volume will encompass a collection of research papers related to indexing and retrieval of online non-text information. In recent years, the Internet has seen an exponential increase in the number of documents placed online that are not in textual format. These documents appear in a variety of contexts, such as user-generated content sharing websites, social networking websites etc. and formats, including photographs, videos, recorded music, data visualizations etc. The prevalence of these contexts and data formats presents a particularly challenging task to information indexing and retrieval research due to many difficulties, such as assigning suitable semantic metadata, processing and extracting non-textual content automatically, and designing retrieval systems that "speak in the native language" of non-text documents.

Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures.

This book explores the analysis and interpretation, discovery and retrieval of a variety of non-textual objects, including image, music and moving image. Bringing together chapters written by leading experts in the field, this book provides an overview of the theoretical and academic aspects of digital cultural documentation and considers both technical and strategic issues relating to cultural heritage projects, digital asset management and sustainability. Managing Digital Cultural Objects: Analysis, discovery and retrieval draws from disciplines including information retrieval, library and information science (LIS), digital preservation, digital humanities, cultural theory, digital media studies and art history. It’s argued that this multidisciplinary and interdisciplinary approach is both necessary and useful in the age of the ubiquitous and mobile Web. Key topics covered include: • Managing, searching and finding digital cultural objects • Data modelling for analysis, discovery and retrieval • Social media data as a historical source • Visual digital humanities • Digital preservation of audio content • Searching and creating affinities in web music collections • Film retrieval on the web. Readership: The book will provide inspiration for students seeking to develop creative and innovative research projects at Masters and PhD levels and will be essential reading for those studying digital cultural object management as well as practitioners in the field.

This is the first comprehensive text on Optical Character Recognition for Indic scripts. It covers many topics and describes OCR systems for eight different scripts—Bangla, Devanagari, Gurmukhi, Gujarti, Kannada, Malayalam, Tamil and Urdu.

With coverage of the entire research process in social media, data collection and analysis on specific platforms, and innovative developments in the field, this handbook is the ultimate resource for those looking to tackle the challenges that come with doing research in this sphere.

This fourth edition provides an updated look at information organization, featuring coverage of the Semantic Web, linked data, and EAC-CPF; new metadata models such as IFLA-LRM and RiC; and new perspectives on RDA and its implementation. This latest edition of The Organization of Information is a key resource for anyone in the beginning stages of their LIS career as well as longstanding professionals and paraprofessionals seeking accurate, clear, and up-to-date guidance on information organization activities across the discipline. The book begins with a historical look at information organization methods, covering libraries, archives, museums, and online settings. It then addresses the types of retrieval tools used throughout the discipline—catalogs, finding aids, indexes, bibliographies, and search engines—before describing the functionality of systems, explaining the basic principles of system design, and defining how they affect information organization. The principles and functionality of metadata is next, with coverage of the types, functions, tools, and models (particularly FRBR, IFLA-LRM, RDF) and how encoding works for use and sharing—for example, MARC, XML schemas, and linked data approaches. The latter portion of the resource describes specific activities related to the creation of metadata for resources. These chapters offer an overview of the major issues, challenges, and standards used in the information professions, addressing topics such as resource description (including standards found in RDA, DACS, and CCO), access points, authority control, subject analysis, controlled vocabularies—notably LCSH, MeSH, Sears, and AAT—and categorization systems such as DDC and LCC.