On Embedding Machine-Processable Semantics into Documents

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Most Web and legacy paper-based documents are available in human comprehensible text form, not readily accessible to or understood by computer programs. Here we investigate an approach to amalgamate XML technology with programming languages for representational purposes. Specifically, we propose a modular technique to embed machine-processable semantics into a text document with tabular data via annotations, and evaluate it vis a vis document querying, manipulation, and integration. The ultimate aim is to be able to author and extract, human-readable and machine-comprehensible parts of a document "hand in hand", and keep them "side by side".
Original languageEnglish
Title of host publicationLecture Notes in Computer Science
EditorsFarid Meziane, Elisabeth Metais
PublisherSpringer Berlin Heidelberg
Pages368-373
Number of pages6
Volume3136
ISBN (Electronic)978-3-540-27779-8
ISBN (Print)978-3-540-22564-5
DOIs
StatePublished - 2004
Event9th International Conference on Applications of Natural Languages to Information Systems - Salford, United Kingdom
Duration: Jun 23 2004Jun 25 2004
Conference number: 9

Publication series

NameNatural Language Processing and Information Systems
Volume3136
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference9th International Conference on Applications of Natural Languages to Information Systems
Abbreviated titleNLDB 2004
Country/TerritoryUnited Kingdom
CitySalford
Period6/23/046/25/04

ASJC Scopus Subject Areas

  • Theoretical Computer Science
  • General Computer Science

Keywords

  • Machine-Processable Semantics
  • XML-based programming language

Disciplines

  • Databases and Information Systems
  • Cataloging and Metadata

Cite this