Kauppinen, Tomi}, year = {2012}, title = {spatial@linkedscience – Exploring the Research Field of GIScience with Linked Data}, affiliation = {Institute for Geoinformatics, University of Münster, Germany}, booktitle = {Geographic Information Science}, series = {Lecture Notes in Computer Science}, editor = {Xiao, Ningchuan and Kwan, Mei-‐Po and Goodchild, Michael and Shekhar, Shashi}, publisher = {Springer Berlin / Heidelberg}, isbn = {978-‐3-‐642-‐33023-‐0}, keyword = {Computer Science}, pages = {102-‐115}, volume = {7478}, url = {http://dx.doi.org/10.1007/978-‐3-‐642-‐33024-‐7_8}, note = {10.1007/978-‐3-‐642-‐33024-‐7_8}, abstract = {Metadata for scientific publications contain various explicit and implicit spatio-‐temporal references. Data on conference locations as well as author and editor affiliations – both changing over time – enable insights into the geographic distribution of scientific fields and particular specializations. At the same time, these byproducts of scientific bibliographies offer a great opportunity to integrate data across different bibliographies to get a more complete picture of a domain. In this paper, we demonstrate how the Linked Data paradigm can