Papers accepted for AGILE and AAAI Spring Symposium

I have two new papers accepted, one for AGILE 2015 in Lisbon, and one for the AAAI Spring Symposium 2015 on Structured Data for Humanitarian Technologies in Stanford. The latter was a collaboration with Tim Clark and Hemant Purohit. Find the preliminary citations below; click the title for a preprint PDF:

  • Carsten Keßler (forthcoming 2015) Central Places in Wikipedia. Accepted for the 18th AGILE Conference on Geographic Information Science: Geographic information Science as an enabler of smarter cities and communities. June 9–12, 2015. Lisbon, Portugal

Abstract Central Place Theory explains the number and locations of cities, towns, and villages based on principles of market areas, transportation, and socio-political interactions between settlements. It assumes a hexagonal segmentation of space, where every central place is surrounded by six lower-order settlements in its range, to which it caters its goods and services. In reality, this ideal hexagonal model is often skewed based on varying popu- lation densities, locations of natural features and resources, and other factors. In this paper, we propose an approach that extracts the structure around a central place and its range from the link structure on the Web. Using a corpus of georeferenced documents from the English language edition of Wikipedia, we combine weighted links between places and semantic annotations to compute the convex hull of a central place, marking its range. We compare the results obtained to the structures predicted by Central Place Theory, demonstrating that the Web and its hyperlink structure can indeed be used to infer spatial structures in the real world. We demonstrate our approach for the four largest metropolitan areas in the United States, namely New York City, Los Angeles, Chicago, and Houston.

Abstract Given the rise of humanitarian crises in the recent years, and adoption of multiple data sharing platforms in offline and online environments, it is increasingly challenging to collect, organize, clean, integrate, and analyze data in the humanitarian domain. On the other side, computer science has built efficient technologies to store, integrate and analyze structured data, however, their role in the humanitarian domain is yet to be shown. We present a case of how structured data technology, specifically Linked Open Data from the Semantic Web area, can be applied for information interoperability in the humanitarian domain. We present the domain-specific challenges, description of the technology adoption via an example of real world adoption of the Humanitarian Exchange Language (HXL) ontology, and describe the lessons from that to build the case of why, how and which components of technologies can be effective for information organization and interoperability in the humanitarian domain.

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