Assessing Semantic Quality of Web Directory Structure

Authors:
Marko Horvat;Gordan Gledec;Nikola Bogunović
Affiliations:
Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia 10000;Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia 10000;Faculty of Electrical Engineering and Computing, University of Zagreb, Zagreb, Croatia 10000
Venue:
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Year:
2009

Citing 9
Cited 1

Learning to Generate CGs from Domain Specific Sentences

ICCS '01 Proceedings of the 9th International Conference on Conceptual Structures: Broadening the Base
Extracting Patterns and Relations from the World Wide Web

WebDB '98 Selected papers from the International Workshop on The World Wide Web and Databases
Where are the semantics in the semantic web?

AI Magazine
A Semantic Web Primer

A Semantic Web Primer
The Semantic Web Revisited

IEEE Intelligent Systems
Ontology Matching

Ontology Matching
The Semantic Web Vision: Where Are We?

IEEE Intelligent Systems
Ontologies and the semantic web

Communications of the ACM - Surviving the data deluge
Building Knowledge: What's beyond Keyword Search?

Computer

Ontology-based administration of web directories

Transactions on computational collective intelligence I

Quantified Score

Hi-index	0.00

Visualization

Abstract

The administration of a Web directory content and associated structure is a labor intensive task performed by human domain experts. Because of that there always exists a realistic risk of the structure becoming unbalanced, uneven and difficult to use to all except for a few users proficient in a particular Web directory. These problems emphasize the importance of generic and objective measures of Web directories structure quality. In this paper we demonstrate how to formally merge Web directories into the Semantic Web vision. We introduce a set of objective criterions for evaluation of a Web directory's structure quality. Some criteria functions are based on heuristics while others require the application of ontologies.