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- W2621259842 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." @default.
- W2621259842 created "2017-06-09" @default.
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- W2621259842 date "2017-01-01" @default.
- W2621259842 modified "2023-09-27" @default.
- W2621259842 title "News Articles Platform: Semantic Tools and Services for Aggregating and Exploring News Articles" @default.
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- W2621259842 doi "https://doi.org/10.1007/978-3-319-56288-9_68" @default.
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