Lightweight reasoning and the web of data for web science

Edward Thomas; Jeff Z Pan; Stuart Taylor; Yuan Ren

Lightweight reasoning and the web of data for web science

Edward Thomas, Jeff Z Pan, Stuart Taylor, Yuan Ren

Computing Science

Research output: Contribution to conference › Unpublished paper › peer-review

Abstract

In the last five years, more than thirteen billion facts have been posted in public, open, semantically rich data sets on the World Wide Web. These data sets and the links between data sets contain an enormous amount of information which is of interest of scientists from all disciplines, but the sheer size of them, combined with the complexity of the underlying languages, makes these data sets unwieldy when tackled with traditional knowledge management tools. In this paper, we look at some new techniques which are available to deal with these problems, and see how and when they should be applied.

Original language	English
Pages	1-6
Number of pages	6
Publication status	Published - Apr 2010
Event	International Conference on Web Science (WebSci 2010) - , United Kingdom Duration: 26 Apr 2010 → 27 Apr 2010

Conference

Conference	International Conference on Web Science (WebSci 2010)
Country/Territory	United Kingdom
Period	26/04/10 → 27/04/10

Access to Document

http://homepages.abdn.ac.uk/jeff.z.pan/pages/pub/TPTR2010.pdf

Cite this

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title = "Lightweight reasoning and the web of data for web science",

abstract = "In the last five years, more than thirteen billion facts have been posted in public, open, semantically rich data sets on the World Wide Web. These data sets and the links between data sets contain an enormous amount of information which is of interest of scientists from all disciplines, but the sheer size of them, combined with the complexity of the underlying languages, makes these data sets unwieldy when tackled with traditional knowledge management tools. In this paper, we look at some new techniques which are available to deal with these problems, and see how and when they should be applied.",

author = "Edward Thomas and Pan, {Jeff Z} and Stuart Taylor and Yuan Ren",

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TY - CONF

T1 - Lightweight reasoning and the web of data for web science

AU - Thomas, Edward

AU - Pan, Jeff Z

AU - Taylor, Stuart

AU - Ren, Yuan

PY - 2010/4

Y1 - 2010/4

N2 - In the last five years, more than thirteen billion facts have been posted in public, open, semantically rich data sets on the World Wide Web. These data sets and the links between data sets contain an enormous amount of information which is of interest of scientists from all disciplines, but the sheer size of them, combined with the complexity of the underlying languages, makes these data sets unwieldy when tackled with traditional knowledge management tools. In this paper, we look at some new techniques which are available to deal with these problems, and see how and when they should be applied.

AB - In the last five years, more than thirteen billion facts have been posted in public, open, semantically rich data sets on the World Wide Web. These data sets and the links between data sets contain an enormous amount of information which is of interest of scientists from all disciplines, but the sheer size of them, combined with the complexity of the underlying languages, makes these data sets unwieldy when tackled with traditional knowledge management tools. In this paper, we look at some new techniques which are available to deal with these problems, and see how and when they should be applied.

M3 - Unpublished paper

SP - 1

EP - 6

T2 - International Conference on Web Science (WebSci 2010)

Y2 - 26 April 2010 through 27 April 2010

ER -

Lightweight reasoning and the web of data for web science

Abstract

Conference

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Cite this