The Quintessential Searcher
| Author | : Marylaine Block |
| Publisher | : Information Today, Inc. |
| Total Pages | : 236 |
| Release | : 2001 |
| Genre | : Biography & Autobiography |
| ISBN | : 9781573871143 |
'Searcher' Magazine editor Barbara Quint (bq) is not only one of the world's most famous online searchers, but the most creative and controversial writer, editor and speaker to emerge from the information industry in the last two decades. bq is a guru of librarians and database professionals the world over, and - as her readers, publishers and 'quarry' know - when it comes to barbed wit she is in a class by herself. Whether she chastises database providers about unacceptable fees, interfaces and updates, recouting the ills visited on the world by computer makers, or inspiring her readers to achieve greatness, her voice is consistently original and compelling. In this book, for the first time anywhere, Marylaine Block has gathered hundreds of Barbara Quint's most memorable, insightful, and politically-incorrect quotations for the enjoyment of her many fans.
Keyword Search in Databases
| Author | : Jeffrey Xu Yu |
| Publisher | : Springer Nature |
| Total Pages | : 143 |
| Release | : 2022-06-01 |
| Genre | : Technology & Engineering |
| ISBN | : 3031794265 |
It has become highly desirable to provide users with flexible ways to query/search information over databases as simple as keyword search like Google search. This book surveys the recent developments on keyword search over databases, and focuses on finding structural information among objects in a database using a set of keywords. Such structural information to be returned can be either trees or subgraphs representing how the objects, that contain the required keywords, are interconnected in a relational database or in an XML database. The structural keyword search is completely different from finding documents that contain all the user-given keywords. The former focuses on the interconnected object structures, whereas the latter focuses on the object content. The book is organized as follows. In Chapter 1, we highlight the main research issues on the structural keyword search in different contexts. In Chapter 2, we focus on supporting structural keyword search in a relational database management system using the SQL query language. We concentrate on how to generate a set of SQL queries that can find all the structural information among records in a relational database completely, and how to evaluate the generated set of SQL queries efficiently. In Chapter 3, we discuss graph algorithms for structural keyword search by treating an entire relational database as a large data graph. In Chapter 4, we discuss structural keyword search in a large tree-structured XML database. In Chapter 5, we highlight several interesting research issues regarding keyword search on databases. The book can be used as either an extended survey for people who are interested in the structural keyword search or a reference book for a postgraduate course on the related topics. Table of Contents: Introduction / Schema-Based Keyword Search on Relational Databases / Graph-Based Keyword Search / Keyword Search in XML Databases / Other Topics for Keyword Search on Databases
Online Searching
| Author | : Karen Markey |
| Publisher | : Rowman & Littlefield |
| Total Pages | : 325 |
| Release | : 2015-07-23 |
| Genre | : Language Arts & Disciplines |
| ISBN | : 1442238860 |
Online Searching is a complete guide for the aspiring expert searcher, explaining important online searching concepts and practices, demonstrating them visually in figures and videos, and inviting you to get hands-on practice by completing its end-of-the-chapter questions and comparing your online experiences with its suggested answers.
Federated Search
| Author | : Christopher N. Cox |
| Publisher | : Routledge |
| Total Pages | : 420 |
| Release | : 2013-10-18 |
| Genre | : Computers |
| ISBN | : 1317976754 |
Understand federated searching implementation better—and what works best in your library Federated Search: Solution or Setback for Online Library Services is a comprehensive guide to choosing, implementing, testing, teaching, and marketing federated search products in libraries. Experts in the field and librarians across the United States provide firsthand information on using federated search engines in different types of libraries (small, academic, and consortia), integrating search engines into library Web sites, homegrown upgrades, bidding on a product, other uses for software, and the future of federated searching. Federated Search: Solution or Setback for Online Library Services explains what factors come into play when choosing which federated search engine is appropriate for a library. This helpful resource discusses how to go out to bid for a product and provides a variety of case examples that illustrate implementation in libraries of different sizes. The book also includes information of what happened once federated search was implemented on various campuses, such as usability studies, teaching issues, getting buy-on from librarians, and marketing to students. Topics discussed in Federated Search: Solution or Setback for Online Library Services include: implementing federated search in different types of libraries why some libraries choose NOT to implement federated searching usability testing of federated search product implementations teaching issues with federated search products marketing to library users integrating federated searching into library web sites and existing services homegrown federated search upgrades the future of federated searching in libraries Federated Search: Solution or Setback for Online Library Services is an essential source on federated searching in libraries for librarians from any size or type of library.
Phonetic Search Methods for Large Speech Databases
| Author | : Ami Moyal |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 58 |
| Release | : 2013-02-28 |
| Genre | : Technology & Engineering |
| ISBN | : 1461464897 |
“Phonetic Search Methods for Large Databases” focuses on Keyword Spotting (KWS) within large speech databases. The brief will begin by outlining the challenges associated with Keyword Spotting within large speech databases using dynamic keyword vocabularies. It will then continue by highlighting the various market segments in need of KWS solutions, as well as, the specific requirements of each market segment. The work also includes a detailed description of the complexity of the task and the different methods that are used, including the advantages and disadvantages of each method and an in-depth comparison. The main focus will be on the Phonetic Search method and its efficient implementation. This will include a literature review of the various methods used for the efficient implementation of Phonetic Search Keyword Spotting, with an emphasis on the authors’ own research which entails a comparative analysis of the Phonetic Search method which includes algorithmic details. This brief is useful for researchers and developers in academia and industry from the fields of speech processing and speech recognition, specifically Keyword Spotting.
