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

页码：430 / 435

页数：6

共 10 条

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[10] [No title captured]

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