Web information extraction (WIE) is a fundamental problem in web document understanding, with significant impact on various applications. Visual plays crucial role WIE tasks as the nodes containing relevant are often visually distinct, such being larger font size or having brighter color, from other nodes. However, rendering visual of page can be computationally expensive. Previous works have m...

with the increased confidence in the use of the internet and the world wide web, the number of electronic commerce (e-commerce) transactions is growing rapidly. therefore, finding useful patterns and rules of users’ behaviors has become the critical issue for e-commerce and can be used to tailor e-commerce services in order to successfully meet the customers’ needs. this paper proposes an appro...

the internet is already the primary source of tourist destination information for travelers. according to world tourism organization, about 95% of web users use the internet to gather travel related information and about 93% indicate that they visited tourism web sites when planning for vacations. the number of people turning to the internet for vacation and travel planning has increased more t...

Information extraction (IE) is the process of automatically extracting structured pieces of information from unstructured or semi-structured text documents. Classical problems in information extraction include named-entity recognition (identifying mentions of persons, places, organizations, etc.) and relationship extraction (identifying mentions of relationships between such named entities). We...

The field of information extraction from the Web emerged with the growth of the Web and the multiplication of online data sources. This paper is an analysis of information extraction methods. It presents a service oriented approach for web information extraction considering both web data management and extraction services. Then we propose an SOA based architecture to enhance flexibility and on-...