Full Text Databases

14,000,000 Leading Edge Experts on the ideXlab platform

Scan Science and Technology

Contact Leading Edge Experts & Companies

Scan Science and Technology

Contact Leading Edge Experts & Companies

The Experts below are selected from a list of 23754 Experts worldwide ranked by ideXlab platform

Justin Zobel - One of the best experts on this subject based on the ideXlab platform.

  • data compression in Full Text retrieval systems
    1993
    Co-Authors: Tim Bell, Ian H. Witten, Alistair Moffat, Craig G Nevillmanning, Justin Zobel
    Abstract:

    When data compression is applied to Full-Text retrieval systems, intricate relationships emerge between the amount of compression, access speed, and computing resources required. We propose compression methods, and explore corresponding tradeoffs, for all components of static Full-Text systems such as Text Databases on CD-ROM. These components include lexical indexes, inverted files, bitmaps, signature files, and the main Text itself. Results are reported on the application of the methods to several substantial Full-Text Databases, and show that a large, unindexed Text can be stored, along with indexes that facilitate fast searching, in less than half its original size—at some appreciable cost in primary memory requirements. © 1993 John Wiley & Sons, Inc.

Tim Bell - One of the best experts on this subject based on the ideXlab platform.

  • data compression in Full Text retrieval systems
    1993
    Co-Authors: Tim Bell, Ian H. Witten, Alistair Moffat, Craig G Nevillmanning, Justin Zobel
    Abstract:

    When data compression is applied to Full-Text retrieval systems, intricate relationships emerge between the amount of compression, access speed, and computing resources required. We propose compression methods, and explore corresponding tradeoffs, for all components of static Full-Text systems such as Text Databases on CD-ROM. These components include lexical indexes, inverted files, bitmaps, signature files, and the main Text itself. Results are reported on the application of the methods to several substantial Full-Text Databases, and show that a large, unindexed Text can be stored, along with indexes that facilitate fast searching, in less than half its original size—at some appreciable cost in primary memory requirements. © 1993 John Wiley & Sons, Inc.

  • INDEXING AND COMPRESSING Full-Text Databases FOR CD-ROM
    1991
    Co-Authors: Ian H. Witten, Tim Bell, Craig G. Nevill
    Abstract:

    CD-ROM is an attractive delivery velucle for Full-Text Databases. Because of large storage capacity and low access speed, careFully designed indexing structures—including a con cordance—are necessary to enable the Text to be retneved efficiently. However, the indexes are sufficiently large that they tax the ability of main store to hold them when processing quenes. The use of compression techniques can substantially mcrease the volume of Text that a disk can accommodate, and substantially decrease the amount of pnmary storage needed to hold the indexes.This paper describes a suitable indexing mechanism, and its compression potential using modem compression methods. It is possible to double the amount of Text that can be stored on a CD-ROM disk and include a Full concordance and indexes as well. A single disk can accommodate around 180 million words of Text—equivalent to a library of 1000-1500 books—and provide rapid response to a vanety of quenes involving multi ple search terms and word fragments.

Ian H. Witten - One of the best experts on this subject based on the ideXlab platform.

  • data compression in Full Text retrieval systems
    1993
    Co-Authors: Tim Bell, Ian H. Witten, Alistair Moffat, Craig G Nevillmanning, Justin Zobel
    Abstract:

    When data compression is applied to Full-Text retrieval systems, intricate relationships emerge between the amount of compression, access speed, and computing resources required. We propose compression methods, and explore corresponding tradeoffs, for all components of static Full-Text systems such as Text Databases on CD-ROM. These components include lexical indexes, inverted files, bitmaps, signature files, and the main Text itself. Results are reported on the application of the methods to several substantial Full-Text Databases, and show that a large, unindexed Text can be stored, along with indexes that facilitate fast searching, in less than half its original size—at some appreciable cost in primary memory requirements. © 1993 John Wiley & Sons, Inc.

  • INDEXING AND COMPRESSING Full-Text Databases FOR CD-ROM
    1991
    Co-Authors: Ian H. Witten, Tim Bell, Craig G. Nevill
    Abstract:

    CD-ROM is an attractive delivery velucle for Full-Text Databases. Because of large storage capacity and low access speed, careFully designed indexing structures—including a con cordance—are necessary to enable the Text to be retneved efficiently. However, the indexes are sufficiently large that they tax the ability of main store to hold them when processing quenes. The use of compression techniques can substantially mcrease the volume of Text that a disk can accommodate, and substantially decrease the amount of pnmary storage needed to hold the indexes.This paper describes a suitable indexing mechanism, and its compression potential using modem compression methods. It is possible to double the amount of Text that can be stored on a CD-ROM disk and include a Full concordance and indexes as well. A single disk can accommodate around 180 million words of Text—equivalent to a library of 1000-1500 books—and provide rapid response to a vanety of quenes involving multi ple search terms and word fragments.

Peizhong Peter Wang - One of the best experts on this subject based on the ideXlab platform.

  • the association between breastfeeding and childhood obesity a meta analysis
    2014
    Co-Authors: Jing Yan, Lin Liu, Yun Zhu, Guowei Huang, Peizhong Peter Wang
    Abstract:

    The increase in childhood obesity is a serious public health concern. Several studies have indicated that breastfed children have a lower risk of childhood obesity than those who were not breastfed, while other studies have provided conflicting evidence. The objective of this meta-analysis was to investigate the association between breastfeeding and the risk of childhood obesity. The PubMed, EMBASE and CINAHL Plus with Full Text Databases were systematically searched from start date to 1st August 2014. Based on the meta-analysis, pooled adjusted odds ratio (AOR) and 95% confidence interval (CI) were calculated. I2 statistic was used to evaluate the between-study heterogeneity. Funnel plots and Fail-safe N were used to assess publication bias and reliability of results, and results from both Egger test and Begg test were reported. Twenty-five studies with a total of 226,508 participants were included in this meta-analysis. The studies’ publication dates ranged from 1997 to 2014, and they examined the population of 12 countries. Results showed that breastfeeding was associated with a significantly reduced risk of obesity in children (AOR = 0.78; 95% CI: 0.74, 0.81). Categorical analysis of 17 studies revealed a dose-response effect between breastfeeding duration and reduced risk of childhood obesity. Results of our meta-analysis suggest that breastfeeding is a significant protective factor against obesity in children.

Judith L Weddle - One of the best experts on this subject based on the ideXlab platform.

  • 561 Political Science: KEDS—A Program for the Machine Coding of Event Data
    2016
    Co-Authors: Philip A Schrodt, Shannon G Davis, Judith L Weddle
    Abstract:

    This paper describes in technical detail the Kansas Event Data System (KEDS) and sum-marizes our experience in coding Reuters data for the Middle East. The components of KEDS are first described; this discussion is intended to provide sufficient detail about the program that one could develop a more sophisticated machine-coding system based on our research. We then discuss a number of problems we have encountered in machine coding, focusing on the Reuters data source and the KEDS program itself. The paper concludes with a discussion of future approaches to machine coding in event data research and other potential applications of the technology. Keywords event data, natural language, Full-Text Databases, international relations, social science. Event data are used in quantitative international relations research to reduce journalistic descriptions of international interactions to categorical data that can be analyzed statistically. An early paper by Charles McClelland provides the following general definition of international events: Event-interaction is meant to refer to something very discrete and simple-to the veritable building blocks of international politics. The content of diplomatic history is made up, in large measure, of event-interactions. They are the specific elements of streams of exchange between nations. Here are a few exam-ples for hypothetical Nations A and B: Nation A proposes a trade negotiation, Nation B rejects the proposal, Nation A accuses B of hostile intentions, Nation B denies the accusation, Nation B deploys troops along a disputed boundary, Nation A requests that the troops be withdrawn.... Each act undertaken by each actor as in the illustration is regarded as an event-interaction

  • political science keds a program for the machine coding of event data
    1994
    Co-Authors: Philip A Schrodt, Shannon G Davis, Judith L Weddle
    Abstract:

    This paper describes in technical detail the Kansas Event Data System (KEDS) and summarizes our experience in coding Reuters data for the Middle East. The components of KEDS are first described; this discussion is intended to provide sufficient detail about the program that one could develop a more sophisticated machine-coding system based on our research. We then discuss a number of problems we have encountered in machine coding, focusing on the Reuters data source and the KEDS program itself. The paper concludes with a discussion of future approaches to machine coding in event data research and other potential applications of the technology. Keywords. event data, natural language, Full-Text Databases, international relations, social science.