The WWW is experiencing explosive growth and an increasing number of security-sensitive applications make now use of it. To achieve worldwide scalability and reduce latency in handling user requests, many of these applications make extensive use of data replication through caches and Content Delivery Networks. However, such replication mechanisms place data on untrusted hosts, which introduces ...

In this paper we present a methodology to build automatically an ontology, extracting information from the World Wide Web from an initial keyword. This ontology represents a taxonomy of classes and gives to the user a general view of the kind of concepts and the most significant sites that he can find on the Web for the specified keyword's domain. The system uses intensively a publicly availabl...

The automatic categorisation of web documents is becoming crucial for organising the huge amount of information available in the Internet. We are facing a new challenge due to the fact that web documents have a rich structure and are highly heterogeneous. Two ways to respond to this challenge are (1) using a representation of the content of web documents that captures these two characteristics ...

With a constantly increasing size of billions of freely accessible documents, one of the major issues raised by the World Wide Web is that of searching in an effective and efficient way through these documents to find these that best suit a user's need. The purpose of the chapter is to describe the techniques that are at the core of today's search engines (such as Google 1 , Yahoo! 2 , Microsof...

Presentational XML documents, such as XHTML or Presentation MathML, use XML tags mainly for formating purposes, while descriptive XML applications, such as a wellstructured movie database, use tags to structure data items in a semantically meaningful way. There is little semantic connection between tags in a presentational XML document and its content, so the tagging is often complex and seemin...

Many Web documents containing the same type of information , would have similar structure. In this paper, we examine the problem of nding the structure of web documents and present a hierarchical structure to represent the relation among text data in the web documents. Due to the loose standard of web page publishing, diierent authors can use diierent wordings (labels) to label the same informa...

The Semantic Web is evolving into a property-linked web of data, conceptually different from but contained in the Web of hyperlinked documents. Data Retrieval techniques are typically used to retrieve data from the Semantic Web while Information Retrieval techniques are used to retrieve documents from the Hypertext Web. We present a Unified Web model that integrates the two webs and formalizes ...

With the fast growth of the Internet, more and more information is available on the Web. The Semantic Web has many features which cannot be handled by using the traditional search engines. It extracts metadata for each discovered Web documents in RDF or OWL formats, and computes relations between documents. We proposed a hybrid indexing and ranking technique for the Semantic Web which finds rel...

User behavior signals such as clicks are strong indicators of a search engines performance. Many existing search algorithms focus on predicting users interactions, by optimizing a relevance cost function for the query and individual web documents. The result set (list) is then generated by ranking web documents with this score. However, the probability of user interaction with a web document on...

With a constantly increasing size of billions of freely accessible documents, one of the major issues raised by the World Wide Web is that of searching in an effective and efficient way through these documents to find these that best suit a user's need. The purpose of the chapter is to describe the techniques that are at the core of today's search engines (such as Google 1 , Yahoo! 2 , Microsof...