About the STKO Lab

Do you like astronomy, the universe? Great, 'cause we are the astronomers of the information universe. The STKO Lab is an information observatory that investigates the role of Space and Time for Knowledge Organization. Thus, if you like, you can also spell out the STKO acronym as Spatio- Temporal Knowledge Observatory. Our work spans across different scientific disciplines such as geoinformatics & GIScience, cognitive science, computer science, and the broader earth sciences. While our research interests vary, we typically work on topics related to geospatial semantics, ontologies, and the Semantic Web, social networks and volunteered geographic information, information retrieval and data mining, Linked Data, Big Data, and data-intensive science, similarity and analogy-based reasoning, as well as mobile computing and location-based services.

A key driver for our work is the question of how to foster the publishing, retrieval, reuse, and integration of data without restricting semantic heterogeneity which we consider a motor of (interdisciplinary) science. We are also very interested in exploratory user interfaces and novel interaction paradigms to browse and navigate unfamiliar data. Methodologically, our niche is the combination of theory-driven (e.g., semantics) and data-driven (e.g., data mining) approaches. While we will be adding content to this page over time, you can find up-to-date information about our research, publications, and organized events following the links from the people site.

New Paper Published on IJGIS

Happy New Year! Our team published a new research article on the International Journal of Geographical Information Science:

Song Gao, Krzysztof Janowicz, Daniel R. Montello, Yingjie Hu, Jiue-an Yang, Grant McKenzie, Yiting Ju, Li Gong, Benjamin Adams, Bo Yan. (2017) A Data-Synthesis-Driven Method for Detecting and Extracting Vague Cognitive Regions. International Journal of Geographical Information Science, DOI:10.1080/13658816.2016.1273357.

Paper Accepted at EKAW 2016

A paper entitled Things and Strings: Improving Place Name Disambiguation from Short Texts by Combining Entity Co-Occurrence with Topic Modeling by Yiting Ju, Benjamin Adams, Krzysztof Janowicz, Yingjie Hu, Bo Yan and Grant McKenzie was accepted at the 20th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2016), which will takes place from November 19th, 2016 to November 24th, 2016 in Bologna, Italy.

STKO at GIScience 2016

GIScience 2016 gave STKO Lab an opportunity for an "STKO Reunion Event"! STKO alumnus, Dr. Ben Adams, Dr. Grant McKenzie, and Dr. Yingjie Hu got together with current STKO students. Spatial Data on the Web workshop has been successfully held with the help of all STKO members! Every member had a great time in GIScience 2016 and enjoyed "Jano's smiling face" a lot. :-)


Yingjie Hu and Song Gao were awarded National Scholarships

Big Congrats to both Yingjie Hu and Song Gao, who were awarded the "2015 National Award for Outstanding Chinese PhD Students Study Abroad" from China Government Scholarship Council (CSC). Only three UCSB students (and yes, two of three are from UCSB Geography STKO Lab!) got this award this year and no more than 500 young talents with remarkable academic achievements across multidisciplinary domains received this award all over the world.

Paper Accepted At ESWC 2016

A paper entitled VOLT: A Provenance-Producing, Transparent SPARQL Proxy for the On-Demand Computation of Linked Data and its Application to Spatiotemporally Dependent Data by Blake Regalia, Krzysztof Janowicz and Song Gao was accepted (acceptance rate is about 20%) at the 13th Extended Semantic Web Conference (ESWC 2016), which will takes place from May 29th, 2016 to June 2nd​, 2016 in Anissaras, Crete, Greece.

Task-oriented information value measurement based on space-time prisms

Our recent work on measuring the value of information has been accepted by the International Journal of Geographical Information Science. The proposed framework provides a potential solution for prioritized information display on small-screen devices, such as smartwatches.

The paper can be accessed at: http://www.tandfonline.com/doi/figure/10.1080/13658816.2015.1124434