%0 Conference Paper %1 ermilov-i-2015-b %A Ermilov, Ivan %A Höffner, Konrad %A Lehmann, Jens %A Mouromtsev, Dmitry %B SEMANTiCS 2015 %D 2015 %K 2015 geoknow group_aksw hoeffner iermilov lehmann sake simba %T kOre: Using Linked Data for OpenScience Information Integration %U http://svn.aksw.org/papers/2015/SEMANTICS_ITMOLOD_DEMO/public.pdf %X While the amount of data on the Web grows at 57% per year, the Web of Science maintains a considerable amount of inertia, as yearly growth varies between 1.6% and 14%. On the other hand, the Web of Science consists of high quality information created and reviewed by the international community of researchers. While it is a complicated process to switch from traditional publishing methods to methods, which enable data publishing in machine-readable formats, the situation can be improved by at least exposing metadata about the scientific publications in machine-readable format. In this paper we aim at metadata, hidden inside universities' internal databases, reports and other hard to discover sources. We extend the VIVO ontology and create the VIVO+ ontology. We define and describe a framework for automatic conversion of university data to RDF. We showcase the VIVO+ ontology and the framework using the example of the ITMO university.

@inproceedings{ermilov-i-2015-b, abstract = {While the amount of data on the Web grows at 57% per year, the Web of Science maintains a considerable amount of inertia, as yearly growth varies between 1.6% and 14%. On the other hand, the Web of Science consists of high quality information created and reviewed by the international community of researchers. While it is a complicated process to switch from traditional publishing methods to methods, which enable data publishing in machine-readable formats, the situation can be improved by at least exposing metadata about the scientific publications in machine-readable format. In this paper we aim at metadata, hidden inside universities' internal databases, reports and other hard to discover sources. We extend the VIVO ontology and create the VIVO+ ontology. We define and describe a framework for automatic conversion of university data to RDF. We showcase the VIVO+ ontology and the framework using the example of the ITMO university.}, added-at = {2024-11-01T19:13:20.000+0100}, author = {Ermilov, Ivan and H\"offner, Konrad and Lehmann, Jens and Mouromtsev, Dmitry}, bdsk-url-1 = {http://svn.aksw.org/papers/2015/SEMANTICS_Licensing/public.pdf}, biburl = {https://www.bibsonomy.org/bibtex/235e2ad9350e6c703e7e7b5319eda510a/aksw}, booktitle = {SEMANTiCS 2015}, interhash = {ad1432ea1a6214c02efe209102097420}, intrahash = {35e2ad9350e6c703e7e7b5319eda510a}, keywords = {2015 geoknow group_aksw hoeffner iermilov lehmann sake simba}, owner = {ivan}, timestamp = {2024-11-01T19:13:20.000+0100}, title = {k{O}re: {U}sing {L}inked {D}ata for {O}pen{S}cience {I}nformation {I}ntegration}, url = {http://svn.aksw.org/papers/2015/SEMANTICS_ITMOLOD_DEMO/public.pdf}, year = 2015 }