SEMANTIC INDEXING OF WEB PAGES VIA PROBABILISTIC METHODS In Search of Semantics Project

摘要

In this paper we address the problem of modeling large collections of data, namely web pages by exploiting jointly traditional information retrieval techniques with probabilistic ones in order to find semantic descriptions for the collections. This novel technique is embedded in a real Web Search Engine in order to provide semantics functionalities, as prediction of words related to a single term query. Experiments on different small domains (web repositories) are presented and discussed.