Authors:
Ioannis Anagnostopoulos
;
Christos-Nikolaos Anagnostopoulos
and
Dimitrios D. Vergados
Affiliation:
University of the Aegean, Greece
Keyword(s):
Web search, web evolution, user modeling, XML services.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Data Engineering
;
Enterprise Information Systems
;
Health Information Systems
;
Information Systems Analysis and Specification
;
Internet Technology
;
Knowledge Discovery and Information Retrieval
;
Knowledge Management
;
Knowledge-Based Systems
;
Multimedia and User Interfaces
;
Ontologies and the Semantic Web
;
Personalized Web Sites and Services
;
Searching and Browsing
;
Society, e-Business and e-Government
;
Soft Computing
;
Symbolic Systems
;
System Integration
;
User Modeling
;
Web Information Systems and Technologies
;
Web Interfaces and Applications
;
Web Mining
;
Web Personalization
Abstract:
Nowadays, many web services have the essential role of accessing and processing the disseminated information on the web, while in parallel, distribute and exchange metadata among them in order to deliver relevant information to the end user. However, their competence is hindered, due to the vast amount of information added, the poor organization, as well as the lack of effective crawling techniques that fail to follow the exponential growth of the web. In this paper we propose an algorithm, which uses five third party web search services and it is capable of self-adapting over the incessant changes that occur on the indexed web. The algorithm works in conjunction with a user browsing behavior model that monitors and records the users’ interactions with the third-party services, using XML search session instances. From the assessment made, it was concluded that the proposed algorithm not only adapts to the users’ web search profiles but also adapts to the evolutionary nature of the web.