Adlet: An active document abstraction for multimedia information fusion

Shi Kuo Chang, Taieb Znati

Research output: Contribution to journalConference articlepeer-review

17 Citations (Scopus)

Abstract

A new approach is described for the fusion of multimedia information based on the concept of active documents advertising on the Internet, whereby the metadata of a document travels in the network to seek out documents of interest to the parent document and, at the same time, advertises its parent document to other interested documents. This abstraction of metadata is called an adlet, which is the core of our approach. Two important features make this approach applicable to multimedia information fusion, information retrieval, data mining, geographic information systems, and medical information systems: 1) any document, including a web page, database record, video file, audio file, image and even paper documents, can be enhanced by an adlet and become an active document, and 2) any node in a nonactive network can be enhanced by adlet-savvy software and the adlet-enhanced node can coexist with other nonenhanced nodes. An experimental prototype provides a testbed for feasibility studies in a hybrid active network environment.

Original languageEnglish
Pages (from-to)112-123
Number of pages12
JournalIEEE Transactions on Knowledge and Data Engineering
Volume13
Issue number1
DOIs
Publication statusPublished - Jan 2001
Externally publishedYes
Event16th International Conference on Data Engineering - San Diego, CA, United States
Duration: Feb 29 2000Mar 3 2000

Keywords

  • Active document
  • Active index system
  • Information fusion

ASJC Scopus subject areas

  • Information Systems
  • Computer Science Applications
  • Computational Theory and Mathematics

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