News Articles Platform: Semantic Tools and Services for Aggregating and Exploring News Articles

Koralia Papadokostaki, Stavros Charitakis, George Vavoulas, Stella Panou, Paraskevi Piperaki, Aris Papakonstantinou, Savvas Lemonakis, Anna Maridaki, Konstantinos Iatrou, Piotr Arent, Dawid Wiśniewski, Nikos Papadakis and Haridimos Kondylakis ()
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Koralia Papadokostaki: Technological Educational Institute of Crete
Stavros Charitakis: Technological Educational Institute of Crete
George Vavoulas: Technological Educational Institute of Crete
Stella Panou: Technological Educational Institute of Crete
Paraskevi Piperaki: Technological Educational Institute of Crete
Aris Papakonstantinou: Technological Educational Institute of Crete
Savvas Lemonakis: Technological Educational Institute of Crete
Anna Maridaki: Technological Educational Institute of Crete
Konstantinos Iatrou: Technological Educational Institute of Crete
Piotr Arent: Technological Educational Institute of Crete
Dawid Wiśniewski: Technological Educational Institute of Crete
Nikos Papadakis: Technological Educational Institute of Crete
Haridimos Kondylakis: Institute of Computer Science

A chapter in Strategic Innovative Marketing, 2017, pp 511-519 from Springer

Abstract: Abstract As the Internet grows daily and millions of news articles are produced everyday worldwide by various sources, the need to store, index, search, and explore news articles is more than prominent. In this paper, we present an integrated platform dedicated to news articles, providing storage, indexing and searching functionalities, implemented using semantic web technologies and services. Besides using the developed APIs, the users through intuitive graphical user interfaces can save articles from RSS channels, import them through wrappers from external news sites or manually insert them using forms. A search engine on top allows the users to explore all registered information. All components have been implemented using semantic web technologies, using a novel ontology to model the news domain, a triple store for the management of data and web services exchanging JSON-DL messages. The registered articles become automatically part of the Linked Open Data cloud, enabling better data and knowledge sharing. Our preliminary evaluation shows the high quality of the developed platform and the benefits of our approach.

Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-319-56288-9_68

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DOI: 10.1007/978-3-319-56288-9_68

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