Functional Composition of Sensor Web APIs

To be published in 2012 in Proceedings of the 5th International Workshop on Semantic Sensor Networks

Ruben Verborgh, Vincent Haerinck, Thomas Steiner, Davy Van Deursen, Sofie Van Hoecke, Jos De Roo, Rik Van de Walle, and Joaquim Gabarró Vallés

“Web APIs are becoming an increasingly popular alternative to the more heavy-weight Web services. Recently, they also have been used in the context of sensor networks. However, making different Web APIs (and thus sensors) cooperate often requires a significant amount of manual configuration. Ideally, we want Web APIs to behave like Linked Data, where data from different sources can be combined in a straightforward way. Therefore, in this paper, we show how Web APIs, semantically described by the light-weight format RESTdesc, can be composed automatically based on their functionality. Moreover, the composition process does not require specific tools, as compositions are created by generic Semantic Web reasoners as part of a proof. We then indicate how the composition in this proof can be executed. We describe our architecture and implementation, and validate that proof-based composition is a feasible strategy on a Web scale. Our measurements indicate that current reasoners can integrate compositions of more than 200 Web APIs in under one second. This makes proof-based composition a practical choice for today’s Web APIs.”

Crying Wolf? A Spatial Analysis of Wolf Location and Depredations on Calf Weight

Canadian Resource and Environmental Economics (CREE) Annual Conference, Vancouver, 28-30 September 2012

Joseph P. Ramler, Mark Hebblewhite, Derek Kellenberg, and Carolyn Sime

“Using a novel panel dataset of 18 Montana ranches from 1995-2010 and combining it with spatial data on known wolf pack locations and satellite generated climatological data, we estimate the spatial impact of changing wolf pack locations and confirmed wolf depredations on the weight of beef calves. We find no evidence that wolf packs with home ranges that overlap ranches have any detrimental effects on calf weights. However, ranches that experienced a confirmed cattle depredation by wolves had a negative and statistically significant impact on calf weight across their herd, possibly due to inefficient foraging behavior or stress to mother cows. The costs of these indirect weight losses are shown to potentially be greater than the costs of direct depredation losses which have, in the past, been the only form of compensation for ranchers who have suffered wolf depredations.”

Spatio-Temporal Analysis of Migration in Delhi: 1961-2001

Social Science Research NetworkSocial Science Research Network, 28 May 2012

Aparna Sengupta

“The aim of the study is to do a spatio-temporal study of migration in Delhi. Studies done in relation to a spatio-temporal context helps in disseminating information about the area under observation with respect to two variables: space and time. Spatial in literal sense refers to space and a spatial study connotes the distribution of any phenomena over a defined space or area. No phenomena is evenly distributed over the earth surface and there exists wide variations, migration also is not evenly distributed over entire Delhi, here comes the need for a spatial study to see the distribution pattern of migrants into Delhi and which district of Delhi is attracting huge number of migrants and the reasons associated with it. On the other hand temporal means ‘time’ which is an important parameter to study any phenomena and its growth over space. The time factor will help in analyzing the amount and the magnitude of migrants coming to Delhi from to time since 1961-2001.”