When Machines Read the Web: Market Efficiency and Costly Information Acquisition at the Intraday Level

2018 ◽  
Author(s):  
Roland L. Gillet ◽  
Thomas Renault
2018 ◽  
Vol 46 (4) ◽  
pp. 418-423
Author(s):  
Qi Fu ◽  
Yongquan Li ◽  
Kaijie Zhu

Author(s):  
John Garofalakis ◽  
Theodoula Giannakoudi ◽  
Yannis Panagis ◽  
Evangelos Sakkopoulos ◽  
Athanasios Tsakalidis

In this chapter, an information acquisition system is proposed which aims to provide log analysis, dealing with ubiquitous access media, by use of semantic knowledge. The lately emerging figure of the semantic Web, the ontologies, may be used to exalt the Web trails to a semantic level so as to reveal their deeper usage information. The proposed architecture, which is presented in detail, intends to overcome mobile devices’ trail duplicates problems and detect semantic operations similarity of server Web services, which are often composed to provide a function. The references that supplement the chapter provide publications that discuss mainly log file mining and analysis and semantic similarity. Useful technology-used URL resources are also provided.


2008 ◽  
Vol 36 (3) ◽  
pp. 441-498 ◽  
Author(s):  
Andreas D. Christopoulos ◽  
Robert A. Jarrow ◽  
Yildiray Yildirim

2019 ◽  
Vol 74 (4) ◽  
pp. 1975-2010 ◽  
Author(s):  
EDWARD HALIM ◽  
YOHANES E. RIYANTO ◽  
NILANJAN ROY

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