Results 181 to 190 of about 188,807 (257)

The Mead Information Retrieval System

Digest of Papers. COMPCON Spring 88 Thirty-Third IEEE Computer Society International Conference, 1988
A case study is presented of the LEXIS/NEXIS information-retrieval system, which during peak loads processes nearly eight thousand full-text searches an hour. Most often these searches are directed at databases on the order of one hundred billion bytes in size. The I/O and CPU resource requirements to service the LEXIS/NEXIS workload is approaching the
Samuel DeFazio, C. Greenwald
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On scalable information retrieval systems

Second IEEE International Symposium on Network Computing and Applications, 2003. NCA 2003., 2003
Scalable information retrieval systems are crucial to meeting the growing volumes of data. We describe work done to facilitate scalability by reducing duplication, providing integration with structured data, and supporting integration and question answering via an intranet mediator.
Ophir Frieder, David A. Grossman, Abdur Chowdhury   +2 more
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A System for Music Information Retrieval

2002
Information Retrieval, and in part Music Information Retrieval, has come to the fore in recent years as a research area. In this paper we outline the design of a system which allows for the retrieval of tunes from a music database. We describe algorithms and implementation of techniques to allow for the retrieval of tunes based on the occurrence of ...
Orla Lahart, Colm O'Riordan
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Holographic Information Retrieval System

Applied Optics, 1974
We describe in this paper the organization and operation of an exploratory holographic library information processing system successfully demonstrated in our laboratory. This system consists of a recording stage and an information-retrieval and readout stage, all of which are controlled by a minicomputer.
K, Tsukamoto, A, Ishii, A, Ishida, M, Sumi, N, Uchida   +4 more
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Image retrieval for information systems

SPIE Proceedings, 1995
In order to retrieve a set of intended images from a huge image archive, human beings think of special contents with respect to the searched scene, like a countryside or a technical drawing. Therefore, in general it is harder to retrieve images by using a syntactical feature- based language than a language which offers the selection of examples ...
Thorsten Hermes, Christoph Klauck, Jutta Kreyß, J. Zhang   +3 more
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Improving Tag-Clouds as Visual Information Retrieval Interfaces

arXiv.org
Tagging-based systems enable users to categorize web resources by means of tags (freely chosen keywords), in order to refinding these resources later.
Yusef Hassan-Montero, Victor Herrero Solana   +1 more
semanticscholar   +1 more source

Knowledge Graphs: An Information Retrieval Perspective

Foundations and Trends in Information Retrieval, 2020
In this survey, we provide an overview of the literature on knowledge graphs (KGs) in the context of information retrieval (IR). Modern IR systems can benefit from information available in KGs in multiple ways, independent of whether the KGs are publicly ...
R. Reinanda, E. Meij, M. de Rijke
semanticscholar   +1 more source

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models

Annual Meeting of the Association for Computational Linguistics
Despite the substantial success of Information Retrieval (IR) in various NLP tasks, most IR systems predominantly handle queries and corpora in natural language, neglecting the domain of code retrieval.
Xiangyang Li, Kuicai Dong, Yi Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang   +8 more
semanticscholar   +1 more source

Expert systems and information retrieval

ACM SIGIR Forum, 1987
The existing bibliographic retrieval systems are too complex to permit direct on-line access by untrained end users. Expert system approaches have been introduced in the hope of simplifying the document indexing, search and retrieval operations and rendering these operations accessible to end users.
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An information retrieval system for software components

ACM SIGIR Forum, 1988
This paper describes an information retrieval system which is specifically designed to be used for storing and retrieving information about software components. Rather than use a retrieval mechanism which is simply based on keyword descriptions, we have made use of developments in natural language research to represent component information in a form ...
Murray Wood, Ian Sommerville
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