We present an analysis of a large corpus of multimedia documents obtained from the web. From this corpus of documents, we have extracted the media assets and the relation information between the assets. In order to conduct our analysis, the assets and relations are represented using a formal ontology. The ontology not only allows for representing the structure of multimedia documents but also t...

Internet which is included plenty of huge data source is now rapidly increasing in all domains. It is considered as valuable data sources if the data can be processed that results in information. Data mining techniques are widely utilized in web documents in order to extract information. In this paper a data mining approach based on Ontology is proposed to classify web documents in order to fac...

Web Data Mining is an important area of Data Mining which deals with the extraction of interesting knowledge from the World Wide Web. It defines the application of data mining techniques to extract knowledge from web data, including web documents, hyperlinks between documents, usage logs of web sites, etc. Therefore, the process of extracting useful information from the contents of web document...

Web itself contains a large amount of documents available in electronic form. The available documents are in various forms and the information in them is not in organized form. The lack of organization of materials in the WWW motivates people to automatically manage the huge amount of information. Textmining refers generally to the process of extracting interesting and non-trivial information a...

Search engine indexes function as a “local copy of the web”1, forming the foundation of every search engine. Search engines need to look for new documents constantly, detect changes made to existing documents, and remove documents from the index when they are no longer available on the web. When one considers that the web comprises many billions of documents which are constantly changing, the c...

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...

The main goal of this research was to investigate means of intelligent support for retrieval of web documents. We have proposed the architecture of the web tool system Trillian, which discovers the interests of users without their interaction and uses them for autonomous searching of related web content. Discovered pages are suggested to the user. The discovery of user interests is based on ana...

Copyrights  1998, American Association for Artificial Intelligence (www.aaai.org). All rights reserved. Abstract The World Wide Web (WWW) is currently one of the most important electronic information sources. However, its query interfaces and the provided reasoning services are rather limited. Ontobroker consists of a number of languages and tools that enhance query access and inference servic...

One of the most important aspects of a Web document is its up-to-dateness or recency. Up-todateness is particularly relevant to Web documents because they usually contain content origining from different sources and being refreshed at different dates. Whether a Web document is relevant for a reader depends on the history of its contents and so-called external factors, i.e., the up-todateness of...

The dynamic web has increased exponentially over the past few years with more than thousands of documents related to a subject available to the user now. Most of the web documents are unstructured and not in an organized manner and hence user facing more difficult to find relevant documents. A more useful and efficient mechanism is combining clustering with ranking, where clustering can group t...