C4.5: programs for machine learning
C4.5: programs for machine learning
Mathematical Knowledge Management in HELM
Annals of Mathematics and Artificial Intelligence
OMDoc -- An Open Markup Format for Mathematical Documents [version 1.2]: Foreword by Alan Bundy (Lecture Notes in Computer Science)
Computerizing Mathematical Text with MathLang
Electronic Notes in Theoretical Computer Science (ENTCS)
SALT - Semantically Annotated $\mbox{\LaTeX}$ for Scientific Publications
ESWC '07 Proceedings of the 4th European conference on The Semantic Web: Research and Applications
Sig.ma: live views on the web of data
Proceedings of the 19th international conference on World wide web
Sindice.com: weaving the open linked data
ISWC'07/ASWC'07 Proceedings of the 6th international The semantic web and 2nd Asian conference on Asian semantic web conference
Publishing math lecture notes as linked data
ESWC'10 Proceedings of the 7th international conference on The Semantic Web: research and Applications - Volume Part II
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Even though the Linking Open Data cloud is constantly growing, there is a serious lack of published data sets related to the domain of academic mathematics. At the same time, since most scholarly publications in mathematics are well-structured and conventional, it's promising to get their helpful detailed representation. The paper describes an approach to extracting and analyzing the structure of mathematical papers. We present the Mocassin ontology that is used by analysis algorithms and can be considered as an ontology of the structure of scholarly publications in mathematics. The proposed semantic model has been evaluated on a set of real mathematical papers and preliminary evaluation results are encouraging. Also we discuss potential applications of the model to specific information retrieval tasks including semantic search.