It's an effort to convert existing data from CEUR-WS.org to Linked Data dataset. The work is done in the framework of Semantic Publishing Challenge 2015 co-located with ESWC 2015 conference.
The goal is to extract information from a set of HTML tables of contents published in the CEUR-WS.org workshop proceedings. The extracted information is expected to answer queries about the quality of these workshops, for instance by measuring growth, longevity, etc.
The source code is available in ceur-ws-crawler folder.
The goal is to extract information from the textual content of the papers (in PDF). That information should provide a deeper understanding of the context in which it was written. In particular, the extracted information is expected to answer queries about authors’ affiliations and research institutions, research grants and funding bodies, and related works (papers presented in the same venue, addressing similar issues, etc.).
The source code is available in ceur-ws-pdfs folder.
If you want to (re)use our work in the next challenge or our project, feel free to do that, it's open source after all :) But please cite our paper:
@Inbook{Kolchin2015,
author="Kolchin, Maxim and Cherny, Eugene and Kozlov, Fedor and Shipilo, Alexander and Kovriguina, Liubov",
editor="Gandon, Fabien and Cabrio, Elena and Stankovic, Milan and Zimmermann, Antoine",
chapter="CEUR-WS-LOD: Conversion of CEUR-WS Workshops to Linked Data",
title="Semantic Web Evaluation Challenges: Second SemWebEval Challenge at ESWC 2015, Portoro{\v{z}}, Slovenia, May 31 - June 4, 2015, Revised Selected Papers",
year="2015",
series = {Communications in Computer and Information Science},
volume = {568},
publisher="Springer International Publishing",
pages="142--152",
isbn="978-3-319-25518-7",
doi="10.1007/978-3-319-25518-7_12",
url="http://dx.doi.org/10.1007/978-3-319-25518-7_12"
}The source code and all data is licensed under the MIT License.