The Semantic Publishing Challenge aims to involve participants in extracting data from heterogeneous sources on scholarly publications, and produce Linked Data which can be exploited by the community itself. The 2014 edition was the first attempt to organize a challenge to enable the assessment of the quality of scientific output. The 2015 edition was more explicit regarding the potential techniques, i.e., information extraction and interlinking. The current 2016 edition focuses on the multiple dimensions of scientific quality and the great potential impact of producing Linked Data for this purpose. In this paper, we discuss the overall structure of the Semantic Publishing Challenge, as it is for the 2016 edition, as well as the submitted solutions and their evaluation.
Dimou, A., Di Iorio, A., Lange, C., Vahdati, S. (2016). Semantic publishing challenge – Assessing the quality of scientific output in its ecosystem. Berlin : Springer Verlag [10.1007/978-3-319-46565-4_19].
Semantic publishing challenge – Assessing the quality of scientific output in its ecosystem
DI IORIO, ANGELO;
2016
Abstract
The Semantic Publishing Challenge aims to involve participants in extracting data from heterogeneous sources on scholarly publications, and produce Linked Data which can be exploited by the community itself. The 2014 edition was the first attempt to organize a challenge to enable the assessment of the quality of scientific output. The 2015 edition was more explicit regarding the potential techniques, i.e., information extraction and interlinking. The current 2016 edition focuses on the multiple dimensions of scientific quality and the great potential impact of producing Linked Data for this purpose. In this paper, we discuss the overall structure of the Semantic Publishing Challenge, as it is for the 2016 edition, as well as the submitted solutions and their evaluation.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
