SNExtractor: A prototype for extracting semantic networks from web documents

Chi Zhang, Yanhua Wang, Chengyu Wang, Wenliang Cheng, Xiaofeng He

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Algorithms for extracting entities and relations from the Web heavily rely on semi-structured data sources or large-scale Web pages. It is difficult to extend these techniques to arbitrary Web documents in different domains. In this demonstration, we present SNExtractor, a prototype system for extracting semantic networks from documents related to any hot topics on the Web. Given a user query, it provides a comprehensive overview of relevant documents, including entities, a semantic network and a timeline summary. In the following, we will present internal mechanisms of SNExtractor and its application in the education domain.

Original languageEnglish
Title of host publicationWeb-Age Information Management - 17th International Conference, WAIM 2016, Proceedings
EditorsBin Cui, Xiang Lian, Dexi Liu, Nan Zhang, Jianliang Xu
PublisherSpringer Verlag
Pages527-530
Number of pages4
ISBN (Print)9783319399577
DOIs
StatePublished - 2016
Event17th International Conference on Web-Age Information Management, WAIM 2016 - Nanchang, China
Duration: 3 Jun 20165 Jun 2016

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume9659
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference17th International Conference on Web-Age Information Management, WAIM 2016
Country/TerritoryChina
CityNanchang
Period3/06/165/06/16

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