Semantic Document Engineering with WordNet and PageRank

PDF Version Also Available for Download.

Description

This article discusses semantic document engineering with WordNet and PageRank.

Physical Description

5 p.

Creation Information

Tarau, Paul; Mihalcea, Rada, 1974- & Figa, Elizabeth March 2005.

Context

This paper is part of the collection entitled: UNT Scholarly Works and was provided by UNT College of Engineering to Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 285 times . More information about this paper can be viewed below.

Who

People and organizations associated with either the creation of this paper or its content.

Authors

Provided By

UNT College of Engineering

The UNT College of Engineering promotes intellectual and scholarly pursuits in the areas of computer science and engineering, preparing innovative leaders in a variety of disciplines. The UNT College of Engineering encourages faculty and students to pursue interdisciplinary research among numerous subjects of study including databases, numerical analysis, game programming, and computer systems architecture.

Contact Us

What

Descriptive information to help identify this paper. Follow the links below to find similar items on the Digital Library.

Degree Information

Description

This article discusses semantic document engineering with WordNet and PageRank.

Physical Description

5 p.

Notes

Abstract: This paper describes natural language processing techniques for document engineering in combination with graph algorithms and statistical methods. Google's PageRank and similar fast-converging recursive graph algorithms have provided practical means to statistically rank vertices of large graphs like the World Wide Web. By combining a fast Java-based PageRank implementation with a Prolog base inferential layer, running on top of an optimized WordNet graph, the authors describe applications to word sense disambiguation and evaluate their accuracy on standard benchmarks.

Source

  • Association for Computing Machinery (ACM) Symposium on Applied Computing (SAC), 2005, Santa Fe, New Mexico, United States

Language

Item Type

Collections

This paper is part of the following collection of related materials.

UNT Scholarly Works

Materials from the UNT community's research, creative, and scholarly activities and UNT's Open Access Repository. Access to some items in this collection may be restricted.

What responsibilities do I have when using this paper?

When

Dates and time periods associated with this paper.

Creation Date

  • March 2005

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

Description Last Updated

  • March 27, 2014, 12:56 p.m.

Usage Statistics

When was this paper last used?

Yesterday: 0
Past 30 days: 1
Total Uses: 285

Interact With This Paper

Here are some suggestions for what to do next.

Start Reading

PDF Version Also Available for Download.

Citations, Rights, Re-Use

Tarau, Paul; Mihalcea, Rada, 1974- & Figa, Elizabeth. Semantic Document Engineering with WordNet and PageRank, paper, March 2005; (digital.library.unt.edu/ark:/67531/metadc30974/: accessed October 22, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT College of Engineering.