Last edited by Mezit
Monday, October 19, 2020 | History

2 edition of Computer interfaces for user access to heterogeneous information-retrieval systems found in the catalog.

Computer interfaces for user access to heterogeneous information-retrieval systems

Richard S. Marcus

Computer interfaces for user access to heterogeneous information-retrieval systems

by Richard S. Marcus

  • 160 Want to read
  • 14 Currently reading

Published by National Technical Information Service in Springfield(Va) .
Written in English


Edition Notes

Originally published, Washington (D.C.), National Science Foundation, 1977.

StatementRichard S. Marcus, J. Francis Reintjes ; prepared for National Science Foundation.
SeriesPB 269 126
ContributionsReintjes, J. Francis 1912-, National Technical Information Service.
The Physical Object
Pagination1 microfiche (93 fr.)
Number of Pages93
ID Numbers
Open LibraryOL13963023M

Ahmed Elmagarmid is Professor of Computer Sciences at Purdue University. He is the editor-in-chief of Distributed and Parallel Databases: An International Journal, editor of Information Sciences, and editor of the Advances in Database Systems series. Elmagarmid's research interests focus on consistency aspects of distributed databases; heterogeneous, federated, and multidatabases; and. We present SenseWeb, an open and scalable infrastructure for sharing and geocentric exploration of sensor data streams. SenseWeb allows sensor owners to share data streams across multiple applications and users, thus amortizing sensor deployment costs effectively. It also provides mechanisms to transparently index and cache data, to process spatio-temporal queries on real-time and historic Cited by:

  Social information retrieval is an emerging area and a promising avenue for the design and implementation of a new generation of information retrieval systems. It has drawn interest in academia as well as in industry. This book introduces readers to this area as well as discusses the state-of-the-art techniques in social information retrieval. Many envision that AI (artificial intelligence) will usher in the next iteration of technology revolution, where humans and machines will work side-by-side to augment, enhance, or accelerate our ability to analyze, learn, create, and think. There are successful stories emerging fast already, such as IBM Watson, Microsoft HoloLens, and Google AlphaGo. One essential component to .

An important focus for the information retrieval domain has been the development of techniques for coping with the heterogeneous and dynamic information space represented by the World Wide Web and the impact of new retrieval devices and interfaces. However, information retrieval systems do not traditionally care about the individual searcher.   The NSF Center for Intelligent Information Retrieval (CIIR) was formed in the Computer Science Department of the University of Massachusetts, Amherst, in Through its efforts in basic research, applied research, and technology transfer, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval.


Share this book
You might also like
Acid deposition on prime resource lands in eastern Canada

Acid deposition on prime resource lands in eastern Canada

Texas personal injury forms

Texas personal injury forms

slat of wood & other poems

slat of wood & other poems

ENGWOMAN REV 1872

ENGWOMAN REV 1872

An oration in commemoration of the anniversary of American independence

An oration in commemoration of the anniversary of American independence

meaning of Marxism.

meaning of Marxism.

Analysis of yeast mitochondrial RNA synthesis using a homologous in vitro transcription system

Analysis of yeast mitochondrial RNA synthesis using a homologous in vitro transcription system

Race and nation in the United States

Race and nation in the United States

Pro football and the running back

Pro football and the running back

International Trade and Global Economic Growth

International Trade and Global Economic Growth

Computer interfaces for user access to heterogeneous information-retrieval systems by Richard S. Marcus Download PDF EPUB FB2

A translating-computer-interface approach to providing a common, or virtual-system, mode of access to a network of heterogeneous online bibliographic retrieval systems has been investigated. Enhanced access to such systems by end users has been demonstrated through test usage of an experimental by: 5.

Many books describe the algorithms behind search engines and information retrieval systems, but the unique focus of this book is specifically on the user interface. It will be welcomed by industry professionals who design systems that use search interfaces as well as graduate students and academic researchers who investigate information by: The main contribution of this paper is the design of an architecture for an Information Retrieval (IR) system that integrates heterogeneous data sources, with a query interface in natural language.

This system uses Natural Language Processing (NLP) techniques in order to transform the user query in subqueries to be executed on different data sources, profiting the query capabilities of Database (DB) Cited by: 1. The advent of the heterogeneous digital library provides the opportunity and establishes the need for the design of new user interfaces.

As a single portal to a wide array of information sources. His research focused on the design of front-end interfaces that improve access to databases, and on the evaluation of information retrieval systems. Further interests included the application of probabilistic techniques to information retrieval and in methods that Computer interfaces for user access to heterogeneous information-retrieval systems book user preferences and user interaction in the retrieval techniques.

The paper describes two methods for realizing a user-friendly access to distributed information resources. The first method (Method I) is based on a form-driven dialogue, which is used in the. The book illustrates some prototypes which analyze networked data.

Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition.

in human-computer interaction with research and development in information retrieval to create highly interactive systems that engage the user in defining their needs iteratively and going beyond retrieval to understanding the corpus and the retrieved information.

The information retrieval system is also made up of two components: the indexing system and the query system. The first of these is in charge of analyzing the documents downloaded from the Web and with the creating of indexes that then allow search queries to be made; while the second is the search engine’s visible interface, that is, the part with which users interact.

Data Engineering CONTENTS LetterfromtheEditor—in—Chief 1 Won Kim LetterfromtheIssueEditor 2 From Theory to Practice in Heterogeneous DBMS Access D. Reiner Research Systems INTERBASE: AnApproachto Controlled SharingamongAutonomous, Heterogeneous 4 Database Systems D. McLeod The Composite Information Systems Laboratory (CISL) Project at MIT   Interactive Information Retrieval in Digital Environments includes the integration of existing frameworks on user-oriented information retrieval systems across multiple disciplines; the comprehensive review of empirical studies of interactive information retrieval systems for different types of users, tasks, and subtasks; and the discussion of.

needs of an end-user of an information retrieval system (IRS) with regard to the communicative properties of the system. User requirements and two methods of their fulfilment The long-term aim in the development of an IRS is to provide an user-friendly access to the sys-tem not only for specialists but rather for the so Weiyi Meng holds a Ph.D.

from the University of Illinois, Chicago, and is an Assistant Professor in the Department of Computer Science at the State University of New York, Binghamton. His research interests include heterogeneous database systems, query processing, Internet-based information retrieval. Written from a computer science perspective by three leading experts in the field, 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.

32 Chapter 2: Wireless System Architecture: How Wireless Works Users A user can be anything that directly utilizes the wireless network. One of the most common types of user is a person. For example, a business traveler accessing the Internet from a public wireless LAN at an airport is a user.

In some cases, how-ever, the user might not be human. This chapter explores data compression in information-retrieval systems. Modern information-retrieval systems are generally based on inverted files, and require large amounts of storage space and powerful machines for the processing of sophisticated queries.

the task executed by the information system in response to a user request. It is basically of two types: ad hoc and filtering. Retrieval unit: the type of objects returned by an information retrieval system as the response to a query, e.g. documents, files, Web pages, etc. S; SGML: Standard markup metalanguage.

HTML is a markup language based. Using Formal Concept Analysis for Heterogeneous Information Retrieval Object Similarity Choice. We mention that the object similarity value whatever the view point system or semantic is a value in the interval [0,1].

This object similarity criterean may crold two values: two objects may seen alike or Cited by: 4. Retrieval task: the task executed by the information system in response to a user request. It is basically of two types: ad hoc and filtering.

Retrieval unit: the type of objects returned by an information retrieval system as the response to a query, e.g. documents, files, Web pages, etc. SGML: Standard markup metalanguage. HTML is a markup. With the proliferation of huge amounts of (heterogeneous) data on the Web, the importance of information retrieval (IR) has grown considerably over the last few years.

Big players in the computer industry, such as Google, Microsoft and Yahoo!, are the primary contributors of technology for fastBrand: Springer-Verlag Berlin Heidelberg.

This first of two related articles by the same authors describes the philosophy, design, and implementation of an experimental translating computer system, CONIT, whose purpose was to investigate techniques for simplifying access to, and operation of, bibliographic retrieval systems.

Forty-one references are cited. (FM)Cited by: As a result of these efforts, the CIIR has become known internationally as one of the leading research groups in the area of information retrieval. The CIIR focuses on research that results in more effective and efficient access and discovery in large, heterogeneous, distributed, text and multimedia : Paperback.tion retrieval system they try to improve – user experience, user interface, effectiveness or efficiency of the search system.

But they are all based on the basic assumption stated by the cluster hypothesis. SEARCH RESULT The first applicationmentioned in Table is search result clustering where.