This paper discusses methods for the application of remote sensing in post earthquake damage assessment, and reports on a GEO-CAN crowd-sourcing study following the 22.2.2011 Christchurch event, and its validation using field studies. It describes the principal datasets used, discusses in detail the problems of validation, and considers the extent of omission and commission errors. It is clear ...

We describe a large, high-quality benchmark for the evaluation of Mention Detection tools. The benchmark contains annotations of both named entities as well as other types of entities, annotated on different types of text, ranging from clean text taken from Wikipedia, to noisy spoken data. The benchmark was built through a highly controlled crowd sourcing process to ensure its quality. We descr...

Rapid developments of mobile technologies, data acquisition and big data analytics, and their integration with critical application domains such as transportation systems have the potential to produce more efficient, real-time, intelligent and safe transportation infrastructure. To increase the quality of transportation services, wireless sensor networks, mobile phones, crowd sourcing, RFID and...

MOOCs have the potential to benefit from the large number of very diverse learners that participate in courses, but this requires a principled approach to MOOC curriculum development. Courses need to take into consideration the diversity of learner experience and intentions, and incorporate scripts that both benefit from the large numbers of learners (crowd-sourcing), as well as enabling small-...

In this paper, we investigate the distribution and growth dynamic of individual producer’s aggregated attention wealth in crowd-sourcing phenomenon by mining data from digg. com. We observe that, the distribution of attention wealth deviates from power-law with a peak near the tail. We interpret the deviation with a stochastic model for attention wealth growth incorporating both promotion to fr...

Households have been pointed out as a significant source of air pollution and climate change. In Europe, the 60% energy used by households is for space heating. The present work focuses on improving knowledge residential heating characteristics in Greece. full causal chain, from appliances to pollutants emitted, examined at thelocal scale. A crowdsourcing approach was followed collection necess...

Safely avoiding accident prone routes is vital to maintaining safe and intelligent transportation. Real-time crowd sourcing of accident causing factors (e.g., icy roads, rain slicked road patches) combined with historical accident information can be utilized by intelligent navigation systems to avoid accident prone routes. A vehicle cloud can compute such safe routes and react faster than a cen...

In this paper, we examine user perception of credibility for news-related tweets. We conduct a user study on a crowd-sourcing platform to judge the credibility of such tweets. By analysing user judgments and comments, we find that eight features, including some that can not be automatically identified from tweets, are perceived by users as important for judging information credibility. Moreover...

We present AWATIF, a multi-genre corpus of Modern Standard Arabic (MSA) labeled for subjectivity and sentiment analysis (SSA) at the sentence level. The corpus is labeled using both regular as well as crowd sourcing methods under three different conditions with two types of annotation guidelines. We describe the sub-corpora constituting the corpus and provide examples from the various SSA categ...