We present our work on developing a software platform for mining mathematical scholarly papers to obtain a Linked Data representation. Currently, the Linking Open Data (LOD) cloud lacks up-to-date and detailed information on professional level mathematics. To our mind, the main reason for that is the absence of appropriate tools that could analyze the underlying semantics in mathematical papers and effectively build their consolidated representation. We have developed a holistic approach to analysis of mathematical documents, including ontology based extraction, conversion of the article body as well as its metadata into RDF, integration with some existing LOD data sets, and semantic search. We argue that the platform may be helpful for enr...
There is an ever increasing interest in publishing Linked Open Datasets about scientific papers. The...
How can Mathematics and the Semantic Web effectively join? In this paper we provide an account of th...
This paper aims to give a feeling of the roles that discipline-oriented subject classifications can ...
We present our work on developing a software platform for mining mathematical scholarly papers to ob...
Even though the Linking Open Data cloud is constantly growing, there is a serious lack of published ...
© Springer International Publishing Switzerland 2014. In this paper, we present an ontology of mathe...
Abstract. Mathematics is a ubiquitous foundation of sci-ence, technology, and engineering. Specific ...
Scholarly publishing has seen an ever increasing interest in Linked Open Data (LOD). However, most o...
Motivation. Finding relevant scientific literature is one of the essential tasks researchers are fac...
We mark up a corpus of LATEX lecture notes semantically and expose them as Linked Data in XHTML+Math...
Abstract Linked Open Datasets about scholarly publications enable the development and integration of...
Abstract. In this paper, we present an ontology of mathematical knowl-edge concepts that covers a wi...
© 2018 CEUR-WS. All rights reserved. A review of the application of ontologies and open related data...
Based on the project activities planned in the context of the Specialized Information Service for Ma...
This paper is discussed basic ideas, approaches and the results obtained in the research project the...
There is an ever increasing interest in publishing Linked Open Datasets about scientific papers. The...
How can Mathematics and the Semantic Web effectively join? In this paper we provide an account of th...
This paper aims to give a feeling of the roles that discipline-oriented subject classifications can ...
We present our work on developing a software platform for mining mathematical scholarly papers to ob...
Even though the Linking Open Data cloud is constantly growing, there is a serious lack of published ...
© Springer International Publishing Switzerland 2014. In this paper, we present an ontology of mathe...
Abstract. Mathematics is a ubiquitous foundation of sci-ence, technology, and engineering. Specific ...
Scholarly publishing has seen an ever increasing interest in Linked Open Data (LOD). However, most o...
Motivation. Finding relevant scientific literature is one of the essential tasks researchers are fac...
We mark up a corpus of LATEX lecture notes semantically and expose them as Linked Data in XHTML+Math...
Abstract Linked Open Datasets about scholarly publications enable the development and integration of...
Abstract. In this paper, we present an ontology of mathematical knowl-edge concepts that covers a wi...
© 2018 CEUR-WS. All rights reserved. A review of the application of ontologies and open related data...
Based on the project activities planned in the context of the Specialized Information Service for Ma...
This paper is discussed basic ideas, approaches and the results obtained in the research project the...
There is an ever increasing interest in publishing Linked Open Datasets about scientific papers. The...
How can Mathematics and the Semantic Web effectively join? In this paper we provide an account of th...
This paper aims to give a feeling of the roles that discipline-oriented subject classifications can ...
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