Vol.8 No.3 September 1, 2009       

Research articles:
A Survey of Cookie Technology Adoption Amongst Nations (pp211-244)
        Andrew F. Tappenden and James Miller
This paper presents the results of a novel survey probing the use of cookies with respect to country of origin and related web technologies.  A number of significant relationships are established between the origin of the web application and cookie deployment.  Cookie usage amongst five popular dynamic web application frameworks is analyzed providing a per-country breakdown of platform adoption and the establishment of a link between dynamic web technologies and first-party and sessional cookies.  The prevalence of vendor-specific third-party technologies both globally and within specific countries is studied.  Although global leaders emerged, a number of country-specific market leaders were discovered, suggesting that country-specific niche technologies are competing with the globally dominant technologies within specific markets.  A large association is identified between third-party persistent cookie usage and a country’s e-business environment—the strongest evidence that cookies are an integral part of the global e-commerce environment.

Ontology-Based Search for eGovernment Services Using Citizen Profile Information (pp245-267)
        Vassilios Peristeras, Sotirios K. Goudos, Nikolaos Loutas, and Konstantinos Tarabanis
This paper presents our effort to “ontologize” a conceptual public service model in order to express in a formal way domain specific semantics and create a reusable service ontology for eGovernment applications. The conceptual model we have used comes from a broader public administration domain modeling effort, called Governance Enterprise Architecture (GEA). With this as a starting point, we document our experience of using the Web Ontology Language (OWL) for the ontological representation of the model. Moreover, we present a use case and a platform that is based and uses this ontology for the discovery of eGovernment services. These services are discovered by semantically matching citizens’ profiles with formally described public services. The proposed domain ontology is reusable and can be exploited by a variety of semantic web applications for eGovernment whenever a formal and standardized model for public services is needed. 

An Automatic Web News Article Contents Extraction System Based on RSS Feeds (pp268-284)
        Hao Han, Tomoya Noro, and Takehiro Tokuda
Nowadays, the Web news article contents extraction is vital to provide news indexing and searching services. Most of the traditional methods need to analyze the layout of news pages to generate the wrappers manually or automatically. It is a costly work and needs much maintenance during the extraction over a long period of time. In this paper, we construct an automatic Web news article contents extraction system based on RSS feeds. We propose an effective and efficient algorithm to extract the news article contents from the news pages without the analysis of news sites before extraction. We calculate the relevance between the news title and each sentence in the news page to detect the news article contents. Our approach is applicable to the general types of news RSS feeds and independent of news page layout. Our experimental results show that our approach can extract the news article contents automatically, accurately and constantly.

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