Semantic Summarization of Web Documents

被引：4
|
作者：
d'Acierno, A. [1 ]
Moscato, V. [2 ]
Persia, F. [2 ]
Picariello, A. [2 ]
Penta, A. [3 ]
机构：
[1] CNR, ISA, Via Roma 64, I-83100 Avellino, Italy
[2] Univ Naples Federico II, DIS, I-80125 Naples, Italy
[3] Politecn Torino, DICAS, I-10125 Turin, Italy
来源：
2010 IEEE FOURTH INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC 2010) | 2010年
关键词：
D O I：
10.1109/ICSC.2010.28
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：430 / 435
页数：6
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