Web Metadata Standards: Observations and Prescriptions

Authors:
David Bodoff;Mordechai Ben-Menachem;Patrick C. K. Hung
Affiliations:
Hong Kong Univ. of Science & Technology;Ben-Gurion University of the Negev;Hong Kong Univ. of Science & Technology
Venue:
IEEE Software
Year:
2005

Citing 3
Cited 3

Formal ontology, conceptual analysis and knowledge representation

International Journal of Human-Computer Studies - Special issue: the role of formal ontology in the information technology
Supporting ontological analysis of taxonomic relationships

Data & Knowledge Engineering - ER2000
E-Business Process Modeling: The Next Big Step

Computer

Adaptive hypermedia for the semantic web

Proceedings of the joint international workshop on Adaptivity, personalization & the semantic web
Adaptive systems in the era of the semantic and social web, a survey

User Modeling and User-Adapted Interaction
On metamodeling in megamodels

MODELS'07 Proceedings of the 10th international conference on Model Driven Engineering Languages and Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The proliferation of Web metadata standards presents an opportunity to recall key lessons from related disciplines, such as software engineering, software reuse, library science, and knowledge representation. The haste to advance these standards also entails a danger that such lessons might be overlooked. In addition, the apparent confluence of metadata standards and artificial intelligence will likely yield mutual benefits, but might also divert researchersý energies away from interoperability and other key issues, such as considerations of software testing and providing search tools and proper access points. This article reviews various Web metadata standards and calls attention to important lessons learned from related disciplines.