Relation based Measuring of Semantic Similarity for Web Documents

Relation based Measuring of Semantic Similarity for Web Documents

The World Wide Web (WWW) is the information resource centre in which information exists in the structure of web pages which are interlinked with each other. From the huge amount of information present on WWW it has been found difficult to extract the relevant information for the query given by the user. The reason for this is that the information exists on web is in natural language. The layere...

A Method for Measuring Semantic Similarity of Documents

With the documents increasing amount available in local or Web repositories, the comparison methods have to analyze large documents sets with different types and terminologies to obtain a response with minimum documents and with as much useful content to the user. For large documents sets where each document can contain many pages, it is impossible to compute the similarity using the entire doc...

Ontology Based Semantic Similarity Comparison of Documents

In this work we consider ontologies as knowledge structures that specify terms, their properties and relations among them to enable knowledge extraction from texts. We represent ontologies using a graph-based model that reflect semantic relationship between concepts and apply them to text analysis and comparison. Instead of raw document comparison we compare document footprint enhanced with con...

An Improved Approach for Measuring Similarity among Semantic Web Services

Computing Semantic Similarity of Documents Based on Semantic Tensors

Exploiting semantic content of texts due to its wide range of applications such as finding related documents to a query, document classification and computing semantic similarity of documents has always been an important and challenging issue in Natural Language Processing. In this paper, using Wikipedia corpus and organizing it by three-dimensional tensor structure, a novel corpus-based approa...