Technique in which the description of a document is matched against a user profile where descriptions relate to static autonomous properties.
Published in Chapter:
Accessing, Analyzing, and Extracting Information from User Generated Contents
Paolo Casoto (University of Udine, Italy), Antonina Dattolo (University of Udine, Italy), Paolo Omero (University of Udine, Italy), Nirmala Pudota (University of Udine, Italy), and Carlo Tasso (University of Udine, Italy)
Copyright: © 2010
|Pages: 17
DOI: 10.4018/978-1-60566-384-5.ch018
Abstract
The concepts of the participative Web, mass collaboration, and collective intelligence grow out of a set of Web methodologies and technologies which improve interaction with users in the development, rating, and distribution of user-generated content. UGC is one of the cornerstones of Web 2.0 and is the core concept of several different kinds of applications. UGC suggests new value chains and business models; it proposes innovative social, cultural, and economic opportunities and impacts. However, several open issues concerning semantic understanding and managing of digital information available on the Web, like information overload, heterogeneity of the available content, and effectiveness of retrieval are still unsolved. The research experiences we present in this chapter, described in literature or achieved in our research laboratory, are aimed at reducing the gap between users and information understanding, by means of collaborative and cognitive filtering, sentiment analysis, information extraction, and knowledge conceptual modeling.