Complex web information structures prevent search engines from providing satisfactory context-sensitive retrieval. We see that in order to overcome this obstacle, it is essential to use techniques that recover the web authors' intentions and superimpose them with the users' retrieval contexts in summarizing web sites. Therefore, in this paper, we present a framework for discovering implicit ass...

World Wide Web is considered the most valuable place for Information Retrieval and Knowledge Discovery. While retrieving information through user queries, a search engine results in a large and unmanageable collection of documents. A more efficient way to organize the documents can be a combination of clustering and ranking, where clustering can group the documents and ranking can be applied fo...

Résumé. Nous présentons un système pour l’inférence de programmes d’extraction de relations dans les documents Web. Il utilise les vues textuelle et structurelle sur les documents. L’extraction des relations est incrémentale et utilise des méthodes de composition et d’enrichissement. Nous montrons que notre système est capable d’extraire des relations pour les organisations existantes dans les ...

An algorithm to synthesise a web search query from example documents is described. A user searching for information on the Web can use a rudimentary query to locate a set of potentially relevant documents. The user classifies the retrieved documents as being relevant or irrelevant to his or her needs. A query can be synthesised from these categorised documents to perform a definitive search wit...

A large amount of information in the form of text, audio, video and other documents is available on the web. Users should be able to find relevant information in these documents. Information Retrieval (IR) refers to the task of searching relevant documents and information from the contents of a data set such as the World Wide Web (WWW). A web search engine is an IR system that is designed to se...

Information in the internet is evolving in terms of high volume through different sources. Extracting tuples from HTML pages has been an important issue in various web applications such as web data integration, e-commerce market monitoring, and mash ups that repurpose and selectively combine existing web data services. Data Mining is the process of analyzing data from different perspectives and...

The field of Web Archiving exists in a fluid, fragmented, and heterogeneous state. Part of the problem is that this field is relatively new and its literature is scattered across a wide range of journal and conference venues. This makes the state of Web Archiving as a discipline particularly difficult to ascertain. This paper presents an approach to building a collection of articles about the s...

As online information dissemination and e-commerce transactions become globally popular, understanding the cultural aspects of Web site documents will gain critical importance. Hidden cultural dimensions could facilitate or inhibit the usability and communication effectiveness of Web sites. However, few studies have investigated the existence of cultural dimensions in Web sites. This study iden...

Annotation of documents is a complex and labour intensive task. So far, research has focused on supporting the annotation of documents in single media, e.g. texts or images. Much less attention has been paid to the issue of annotating documents across media, especially useful for web documents that usually contain both text and images. In this paper we describe AKTiveMedia, a tool which support...

Despite the advancement of XML, the majority of documents on the Web is still marked up with HTML for visual rendering purposes only, thus building a huge amount of ”legacy” data. In order to facilitate querying Web based data in a way more efficient and effective than just keyword based retrieval, enriching such Web documents with both structure and semantics is necessary. This paper describes...