Blogs

A cartographic approach to visualize research topics in the 2013 WWW conference

Recently, we have designed a Web-based application to visualize the spatiotemporal evolution of Web related research topics (See the previous blog here). In this application, a word-cloud-based timeline has been employed to visualize the evolution of research topics on the Web. While word clouds have been a popular way to display the prominent terms, they are unable to reveal the relations among the research topics.

Web@25: Exploring the Web-related research topics in space and time

With people around the world celebrating the 25th birthday of the Web, the STKO lab is not an exception. To contribute to this great festival, we designed a Linked-Data powered Web portal using the state-of-the-art Semantic Web technologies. As a lab focusing on spatiotemporal knowledge and information observatory, this Web portal features an exploration of the evolution of Web-related research topics.

The link to the Web portal can be accessed at http://stko-exp.geog.ucsb.edu/web25portal/

Constructing Gazetteers from Volunteered Big Geo-Data Based on Hadoop

A new paper was accepted for journal publication:-)
Song Gao, Linna Li, Wenwen Li, Krzysztof Janowicz, Yue Zhang. (2014) Constructing Gazetteers from Volunteered Big Geo-Data based on Hadoop . Computers, Environment and Urban Systems ,DOI: 10.1016/j.compenvurbsys.2014.02.004, (in press).

POI Pulse: A Multi-Granular, Semantic Signatures-Based Approach for the Interactive Visualization of Big Geosocial Data

The text below is from a recent paper on which we've been working:

McKenzie, G., Janowicz, K., Gao, S., Yang, JA., Hu, Y., (2014: Under Review) POI Pulse: A Multi-Granular, Semantic Signatures-Based Approach for the Interactive Visualization of Big Geosocial Data.

The POI Pulse application in action: http://stko-poi.geog.ucsb.edu/prod/lapulse (please use Chromium or Firefox)


Workshop on Geographic Information Observatories 2014 call for paper

Our workshop proposal has been accepted by the GIScience 2014 conference, which will be held in Vienna, September, 23-26. The title of the workshop is called Geographic Information Observatories. In this workshop we would like to explore the idea of expanding GIScience research to empirically examine the structure of the geographic information universe itself, with the hope that a better understanding of this universe will ultimately give us new insights into how this information can be utilized.

New Lab Space, Interactive Display, and Google Glass

The STKO lab is moving up in the world (or down to be geometrically accurate). The new lab space opened at the beginning of this year on the 4th Floor in Ellison Hall (one floor down from our previous offices). The bullpen style of the new lab is something we have wanted for a while and really enhances the collaborative environment we encourage in the group.

Call for papers: Special issue of the Semantic Web journal on Semantics for Big Data

Call for papers: Special issue of the Semantic Web journal on Semantics for Big Data

http://www.semantic-web-journal.net/blog/call-papers-special-issue-semantic-web-journal-semantics-big-data

One of the key challenges in making use of Big Data lies in finding ways of dealing with heterogeneity, diversity, and complexity of the data, while its volume and velocity forbid solutions available for smaller datasets as based, e.g., on manual curation or manual integration of data. Semantic Web Technologies are meant to deal with these issues, and indeed since the advent of Linked Data a few years ago, they have become central to mainstream Semantic Web research and development. We can easily understand Linked Data as being a part of the greater Big Data landscape, as many of the challenges are the same. The linking component of Linked Data, however, puts an additional focus on the integration and conflation of data across multiple sources.

The Art of Cartogram

A cartogram is a map of art in which some thematic mapping variable, such as population, socioeconomic factors, is substituted for land area. The geometric space of the map is distorted in order to highlight the objective variable, as is clear to the eye.

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