{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/ontomathpro-ontology-a-linked-data-hub-for","title":"$OntoMath^{PRO}$ Ontology: A Linked Data Hub for Mathematics","arxiv_id":"1407.4833","date":"2014-07-17","proceeding":null,"authors":["Olga Nevzorova","Nikita Zhiltsov","Alexander Kirillovich","Evgeny Lipachev"],"abstract":"In this paper, we present an ontology of mathematical knowledge concepts that\ncovers a wide range of the fields of mathematics and introduces a balanced\nrepresentation between comprehensive and sensible models. We demonstrate the\napplications of this representation in information extraction, semantic search,\nand education. We argue that the ontology can be a core of future integration\nof math-aware data sets in the Web of Data and, therefore, provide mappings\nonto relevant datasets, such as DBpedia and ScienceWISE.","url_abs":"http://arxiv.org/abs/1407.4833v2","url_pdf":"http://arxiv.org/pdf/1407.4833v2.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"ontomathpro-ontology-a-linked-data-hub-for","repo_url":"https://github.com/CLLKazan/OntoMathPro","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"math","task_name":"Math"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}