scholarly journals Exploiting the Web for Semantic Change Detection

Author(s):  
Pierpaolo Basile ◽  
Barbara McGillivray
Author(s):  
Zhuo Zheng ◽  
Yinhe Liu ◽  
Shiqi Tian ◽  
Junjue Wang ◽  
Ailong Ma ◽  
...  

Author(s):  
Qianyue Bao ◽  
Yang Liu ◽  
Zixiao Zhang ◽  
Dafan Chen ◽  
Yuting Yang ◽  
...  

2022 ◽  
Vol 183 ◽  
pp. 228-239
Author(s):  
Zhuo Zheng ◽  
Yanfei Zhong ◽  
Shiqi Tian ◽  
Ailong Ma ◽  
Liangpei Zhang

Author(s):  
Adam Tsakalidis ◽  
◽  
Marya Bazzi ◽  
Mihai Cucuringu ◽  
Pierpaolo Basile ◽  
...  

2015 ◽  
Vol 12 (1) ◽  
pp. 91-114 ◽  
Author(s):  
Víctor Prieto ◽  
Manuel Álvarez ◽  
Víctor Carneiro ◽  
Fidel Cacheda

Search engines use crawlers to traverse the Web in order to download web pages and build their indexes. Maintaining these indexes up-to-date is an essential task to ensure the quality of search results. However, changes in web pages are unpredictable. Identifying the moment when a web page changes as soon as possible and with minimal computational cost is a major challenge. In this article we present the Web Change Detection system that, in a best case scenario, is capable to detect, almost in real time, when a web page changes. In a worst case scenario, it will require, on average, 12 minutes to detect a change on a low PageRank web site and about one minute on a web site with high PageRank. Meanwhile, current search engines require more than a day, on average, to detect a modification in a web page (in both cases).


Author(s):  
Severin Laicher ◽  
Gioia Baldissin ◽  
Enrique Castañeda ◽  
Dominik Schlechtweg ◽  
Sabine Schulte im Walde

2020 ◽  
Author(s):  
Jens Kaiser ◽  
Dominik Schlechtweg ◽  
Sean Papay ◽  
Sabine Schulte im Walde

2020 ◽  
Author(s):  
Amaru Cuba Gyllensten ◽  
Evangelia Gogoulou ◽  
Ariel Ekgren ◽  
Magnus Sahlgren

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