An important aspect of research for Web information extraction relates to the inference of complex reasoning and correlation based on distributed information available in many different Web data sources. By defining the semantics of information and services available on the Web, the World Wide Web becomes a vast store of information that can be easily processed by computer applications. Semanti...

The move towards a semantic web has been in progress for many years and more recently there have been applications that make use of semantic web technology. One of the features that made the Web so easy to use is the ability to search web pages in a matter of seconds through the use of search en­ gines. Now that the use of OWL and RDF as a knowledge representation format is increasing, the poss...

We contribute a method that lets people create a visual history of custom notifications to track personally meaningful changes to web pages. Notifications are assembled as a collage of regions extracted from the fully rendered (bitmap) representation of the web pages. They are triggered when visual changes between successive visits are detected within regions. To use the system, a person specif...

Information Extraction aims to retrieve certain types of information from natural language text by processing them automatically. For example, an information extraction system might retrieve information about geopolitical indicators of countries from a set of web pages while ignoring other types of information. Ontology-based information extraction has recently emerged as a subfield of informat...

As the Internet becomes more and more deeply connected with our life, the Internet has brought together mass text material, and it is still in explosive growth. In order to quickly and accurately to help users find the required content, the traditional solution is to use a search engine. However, the results of existing automatic webpage summarization systems for search engine are of low qualit...

The context of a statement or assertion can be critical to a useful understanding of its meaning. In huge knowledge bases such as the CYC project, capturing context explicitly encounters significant problems. Research at the Intelligent Agent Lab at The University of Melbourne has been investigating lightweight approaches to incorporating context in the construction of knowledge-based informati...

We consider the problem of clustering nodes in a graph, where each node has also internal content (e.g., the Web, where nodes are web pages). In this context we can distinguish two kinds of information: content information and structural information. Standard clustering methods use content information only, while graph clustering methods are usually based on the graph structure. Relatively rece...

Day by day the web size is growing enormously because at each and every second data is uploaded and downloaded from the web. Some data have proper link to address its location over the web but some data do not provide its proper link that causes the un-accessing of the document. So, it is very difficult to find matches in data for known patterns of interest and also to discover new patterns of ...