Documents' summarization techniques automatically extract relevant information from different sources with respect to a list of topics: they can be profitably used by a variety of applications and in particular for automatic indexing and categorization in order to facilitate the production and delivery of new multimedia contents. In this paper we propose a novel approach for summarizing documents retrieved from the Internet: we propose to capture the semantic nature of a document, expressed in natural language, in order to retrieve a number of RDF triplets and to clusterize these ones aggregating similar information. An overview of the system and some preliminary results are described.
Semantic Summarization of Web Documents / A., D., Moscato, V., A., P., F., P., Picariello, A.. - ELETTRONICO. - (2010), pp. 430-435. (4th IEEE International Conference on Semantic Computing (ICSC 2010) Pittsburgh, PA, USA September 22-24, 2010) [10.1109/ICSC.2010.28].
Semantic Summarization of Web Documents
MOSCATO, VINCENZO;PICARIELLO, ANTONIO
2010
Abstract
Documents' summarization techniques automatically extract relevant information from different sources with respect to a list of topics: they can be profitably used by a variety of applications and in particular for automatic indexing and categorization in order to facilitate the production and delivery of new multimedia contents. In this paper we propose a novel approach for summarizing documents retrieved from the Internet: we propose to capture the semantic nature of a document, expressed in natural language, in order to retrieve a number of RDF triplets and to clusterize these ones aggregating similar information. An overview of the system and some preliminary results are described.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
