1,720,961 research outputs found
An Intelligent Service Oriented Approach for Improving Information Access in Cultural
No full textReports on the IACH 2008 workshop have been published at two locations:
- IACH 2008 Report in D-Lib Magazine Nov./Dec. 2008 (Vol. 14 No. 11/12);
- IACH 2008 Report in SIGIR Forum Dec. 2008 (Vol. 42, No. 2)
Sentiment classification for the Italian language: A case study on movie reviews
No full textWe consider the problem of tracking the opinion polarity, in terms of positive or negative orientation, expressed in documents written in natural language and extracted from a heterogeneous set of Web sources. More specifically, we focus our attention on the movie reviews domain. We are interested in evaluating the performance obtained by a set of high performance opinion polarity classifiers for the Italian language. Classification of polarity expressed by the input documents is achieved by means of several sets of specialized autonomous or interacting agents, devoted, respectively, to document gathering, classification and visualization. In particular the results of opinion analysis are represented by means of a graphical interface, where a multi agent based implementation of zz-structures is exploited to offer graph-centric views and navigation of results. The specific experimental evaluation performed so far shows an accuracy level, which is higher than previous results reported in the literature
Accessing, analysing, and extracting information from user generated contents: open issues and challenges
No full textThe 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
Generating and sharing personal information spaces
No full textApplications based on the Web 2.0 approach show several limitations: among them, knowledge is usually manually generated by users and can not be structured and shared in effective ways.
This paper presents an innovative architecture, conceived in terms of a multi-agent systems and
aimed at creating, managing and sharing personal information spaces.
Data and knowledge may be directly added by users, but also collected and structured with the support of content retrieval, filtering and automatic tagging techniques.
Conceptual spaces organize personal information spaces using zz-structures, an innovative system of conventions for data and computing, capable of representing, by means graph-centric views, contextual interconnections among heterogeneous information
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