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Authors:
Stoll, Kurt Uwe 
Document type:
Dissertation / Thesis 
Title:
Using Existing Structured Data as a Learning Set for Web Information Extraction in E-Commerce 
Advisor:
Hepp, Martin, Prof. Dr. 
Referee:
Hepp, Martin, Prof. Dr.; Steinhardt, Claudius, Prof.-Dr.; Kaiser, Stephan, Univ.-Prof. Dr.; Morasch, Karl, Univ.-Prof. Dr. 
Date oral examination:
12.07.2016 
Publication date:
08.03.2017 
Year:
2016 
Language:
Englisch 
Subject:
Electronic Commerce ; Semantic Web ; Information Retrieval ; Markteffizienz ; Hochschulschrift 
Keywords:
Semantic Web, Machine Learning, Artificial Intelligence, Web Information Extraction 
Abstract:
In the last years, e-commerce has grown massively and evolved into a main driver of technological innovation on the Web. The Semantic Web is a vision to advance the technological foundation of the Web so that computers are empowered to better extract and process information from Web content. A core principle of the Semantic Web is to augment Web markup by structured data suited for machine processing, instead of markup just suitable for rendering the information for human consumption. The applic...    »
 
DDC notation:
381.142 
Department:
Fakultät für Wirtschafts- und Organisationswissenschaften 
Institute:
WOW 3 - Institut für Management marktorientierter Wertschöpfungsketten 
Chair:
Hepp, Martin 
Open Access yes or no?:
Ja / Yes