Books by "Daniel J. Bates"
6 books found
Introduction to Cataloging and Classification
by Daniel N. Joudrey, Arlene G. Taylor, David P. Miller
2015 · Bloomsbury Publishing USA
A new edition of this best-selling textbook reintroduces the topic of library cataloging from a fresh, modern perspective. Not many books merit an eleventh edition, but this popular text does. Newly updated, Introduction to Cataloging and Classification provides an introduction to descriptive cataloging based on contemporary standards, explaining the basic tenets to readers without previous experience, as well as to those who merely want a better understanding of the process as it exists today. The text opens with the foundations of cataloging, then moves to specific details and subject matter such as Functional Requirements for Bibliographic Records (FRBR), Functional Requirements for Authority Data (FRAD), the International Cataloging Principles (ICP), and RDA. Unlike other texts, the book doesn't presume a close familiarity with the MARC bibliographic or authorities formats; ALA's Anglo-American Cataloging Rules, 2nd Edition, revised (AACR2R); or the International Standard Bibliographic Description (ISBD). Subject access to library materials is covered in sufficient depth to make the reader comfortable with the principles and practices of subject cataloging and classification. In addition, the book introduces MARC, BIBFRAME, and other approaches used to communicate and display bibliographic data. Discussions of formatting, presentation, and administrative issues complete the book; questions useful for review and study appear at the end of each chapter.
The Organization of Information
by Daniel N. Joudrey, Arlene G. Taylor
2017 · Bloomsbury Publishing USA
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.
A Symbolic and Connectionist Approach To Legal Information Retrieval
by Daniel E. Rose
2013 · Psychology Press
Many existing information retrieval (IR) systems are surprisingly ineffective at finding documents relevant to particular topics. Traditional systems are extremely brittle, failing to retrieve relevant documents unless the user's exact search string is found. They support only the most primitive trial-and-error interaction with their users and are also static. Even systems with so-called "relevance feedback" are incapable of learning from experience with users. SCALIR (a Symbolic and Connectionist Approach to Legal Information Retrieval) -- a system for assisting research on copyright law -- has been designed to address these problems. By using a hybrid of symbolic and connectionist artificial intelligence techniques, SCALIR develops a conceptual representation of document relationships without explicit knowledge engineering. SCALIR's direct manipulation interface encourages users to browse through the space of documents. It then uses these browsing patterns to improve its performance by modifying its representation, resulting in a communal repository of expertise for all of its users. SCALIR's representational scheme also mirrors the hybrid nature of the Anglo-American legal system. While certain legal concepts are precise and rule-like, others -- which legal scholars call "open-textured" -- are subject to interpretation. The meaning of legal text is established through the parallel and distributed precedence-based judicial appeal system. SCALIR represents documents and terms as nodes in a network, capturing the duality of the legal system by using symbolic (semantic network) and connectionist links. The former correspond to a priori knowledge such as the fact that one case overturned another on appeal. The latter correspond to statistical inferences such as the relevance of a term describing a case. SCALIR's text corpus includes all federal cases on copyright law. The hybrid representation also suggests a way to resolve the apparent incompatibility between the two prominent paradigms in artificial intelligence, the "classical" symbol-manipulation approach and the neurally-inspired connectionist approach. Part of the book focuses on a characterization of the two paradigms and an investigation of when and how -- as in the legal research domain -- they can be effectively combined.
Archivists and librarians: here is the perfect introduction to archival description and its latest technological applications! Encoded Archival Description on the Internet introduces a variety of perspectives that will assist you in deciding whether EAD is an appropriate tool in a given context and, if it is, provides the knowledge you need to begin planning, organizing, and implementing projects and programs in your library. This informative book: shows how archival description differs from bibliographic description presents EAD as a standard and shows its relation to the MARC format and other standards discusses implementation issues examines museum use of EAD gives you an overview of the history of the development of EAD explores the reference implications of EAD discusses implications for nontraditional users examines the concept of union-universal access to archivesEAD version 1.0 was formally released by the Society of American Archivists and the Library of Congress Network Development and MARC Standards Office in autumn 1998. Since then, a great number of institutions have invested significant time and money to prepare for implementation of EAD programs. The most compelling reason for EAD’s success is that, in the words of Editors Pitti and Duff, “Archivists recognize in EAD their shared principles and practice, and have embraced EAD not as a full realization of all of their expectations, but as common ground upon which they can negotiate and realize the future of one of the profession’s central responsibilities.”Encoded Archival Description on the Internet shows how EAD will not only benefit the public, but also librarians and archivists. It describes how information professionals will now be able to easily share information about complementary records and collections and to “virtually” integrate collections related by provenance but dispersed administratively or by geographic distance.
Variability and Consistency in Early Language Learning
by Michael C. Frank, Mika Braginsky, Daniel Yurovsky, Virginia A. Marchman
2021 · MIT Press
A data-driven exploration of how children's language learning varies across different languages, providing both a theoretical framework and reference. The Wordbank Project examines variability and consistency in children's language learning across different languages and cultures, drawing on Wordbank, an open database with data from more than 75,000 children and twenty-nine languages or dialects. This big data approach makes the book the most comprehensive cross-linguistic analysis to date of early language learning. Moreover, its data-driven picture of which aspects of language learning are consistent across languages suggests constraints on the nature of children's language learning mechanisms. The book provides both a theoretical framework for scholars of language learning, language, and human cognition, and a resource for future research.