Now-a-days the web based information is increasing day-by-day. As the number of internet users and the number of web document grows, it is difficult for users to find the documents that are relevant to their particular needs.In Recent years semantic web search is not considering semantic relations between words in traditional Machine Learning algorithms. Previous works on ontology-based semanti...

The construction of metadata which annotates the documents is one of the major tasks for making data understandable to the machine on the Semantic Web. Most of the exiting Semantic Web authoring tools allow user with limited knowledge Semantic Web technologies such as RDF, OWL to markup documents with semantics. These tools help to create the semantic annotations to the documents either during ...

Semantic Web languages are being used to represent, encode and exchange semantic data in many contexts beyond the Web – in databases, multiagent systems, mobile computing, and ad hoc networking environments. The core paradigm, however, remains what we call the Web aspect of the Semantic Web – its use by independent and distributed agents who publish and consume data on the World Wide Web. To be...

We believe that, to manage Web data effectively, there is a need to build a data warehouse of Web data, i.e. a Web warehouse. In this paper, we focus on how to represent and store relevant hyperlinked Web documents effectively in a Web warehouse called WHOWEDA (WareHouse Of WEb DAta) for further querying and manipulation. We present a simple and general model for representing metadata, structur...

The paper describes a browser that processes XLink links in XML documents. It creates a navigation chunk of hyperlinks dynamically for a connected user’s session through a server side programming. This advanced navigation provides web-based online services while referencing the electronic documents in use, both local and remote. To allow communicating this information through the web, an XML/DT...

For personal use only, not for distribution. 6 Further Reading 35 With a constantly increasing size of dozens 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 those that best suit a user's need. The purpose of this chapter is to describe the techniques that are ...

HTML documents, which are designed primarily for human consumption. The presence of such legacy documents makes embracing the Semantic Web vision difficult.2 Thus, we need scalable solutions to automatically transform legacy HTML to Semantic Web documents. Recent work describes algorithms that automatically annotate HTML documents with semantic labels.3 Unfortunately, constructing the domain on...

Semantic Web languages are being used to represent, encode and exchange semantic data in many contexts beyond the Web – in databases, multiagent systems, mobile computing, and ad hoc networking environments. The core paradigm, however, remains what we call the Web aspect of the Semantic Web – its use by independent and distributed agents who publish and consume data on the World Wide Web. To be...

Electronically available documents on the Web are exploding at an ever-increasing rate. Many Web documents, however, contain rich knowledge that describes the document's content. The Web can be viewed as a body of text containing two fundamentally different types of data: the contents and the tags. A tag is in HTML (Hyper-Text Markup Language) meta-data describing the layout and linking structu...

Web documents retrieval is very challenging due to the huge amount of documents available and difficulty to interpret these documents. Both effectiveness and efficency of retrieval are important. This paper presents some approaches from soft computing to improve effectiveness of web documents retrieval. These approaches give a more accurate and reasonable representation of terms provided by the...