The problem of finding quality information and services on the Web is analyzed. We present two user-centered evaluation methodologies to characterize the quality of the Web documents and Web sites that contain these Web documents. These evaluation methodologies are designed using a fuzzy linguistic approach in order to facilitate the expression of qualitative and subjective judgements. These me...

A large portion of the useful information on the web is in the form of unstructured natural language documents. Currently such documents are understandable to humans but not to software agents. One of the goals of the Semantic Web activity is to enrich a considerable number of web documents with annotations, which will then allow new generation search engines and novel web services to access th...

The amount of information available on the World Wide Web has been increasing dramatically in recent years. To enhance speedy searching and retrieving Web documents of interest, researchers and practitioners have partially relied on various information retrieval techniques. In this paper; we propose a probabilistic model to classib Web documents into relevant documents and irrelevant documents ...

Web mining is a one class of data mining. Web Mining is a variation of data mining that distills untapped source of abundantly available free textual information. The need and importance of web mining is growing along with the massive volumes of data generated in web day-to-day life. Web data Clustering is the organization of a collection of web documents into clusters based on similarity. A go...

with the present effort, we propose to investigate results of applying the right-truncated index-based web search engine in order to determine its usefulness for storing and retrieving arabic documents. the right-truncated index-based web search engine, being a program for reading any set of arabic documents accepts a query, and then processes both the documents and the query. thus, it selects ...

With the increase of information on the Web, it is difficult to find desired information quickly out of the documents retrieved by a search engine. One way to solve this problem is to classify web documents according to various criteria. Most document classification has been focused on a subject or a topic of a document. A genre or a style is another view of a document different from a subject ...

ConTag is an approach to generate semantic tag recommendations for documents based on Semantic Web ontologies and Web 2.0 services. We designed and implemented a process to normalize documents to RDF format, extract document topics using Web 2.0 services and finally match extracted topics to a Semantic Web ontology. Due to ConTag we are able to show that the information provided by Web 2.0 serv...

A vast amount of temporal information is provided on the web. Even though many facts expressed in documents are time-related, the temporal properties of web presentations have not received much attention. In database research, temporal databases have become a mainstream topic in recent years. In web documents temporal data may exist as meta data in the header and as user-directed data in the bo...

OF THESIS STEREOTYPING THE WEB: GENRE CLASSIFICATION OF WEB DOCUMENTS Retrieving relevant documents over the Web is a difficult task. Currently, search engines rely on keywords for matching documents to user queries. This paper explores the potential for discriminating documents based on the genre of the document. I define genre as a taxonomy that incorporates the style, form and content of a d...