Strategies for Truth Discovery under Resource Constraints

d Abstract) Anthony Etuk Timothy J. Norman Nir Oren Dept. of Computing Science University of Aberdeen, UK Murat ¸Sensoy Dept. of Computer Science Özye˘gin University, Turkey We present a decision-theoretic approach for sampling information sources in resource-constrained environments, where there is uncertainty regarding source trustworthiness. We exploit diversity among sources to stratify the population into homogeneous subgroups to both minimise redundant sampling and mitigate the effect of source collusion. We show through empirical evaluation that our model is as effective as existing truth discovery approaches with respect to accuracy, while significantly reducing sampling cost. Categories and Subject Descriptors H.4 [Information Systems Applications]: Miscellaneous Keywords Trust, Truth Discovery, Diversity, Sampling

• Type: Journal
• Year: 2015
• Where: ATAL
• Authors: Anthony Etuk, Timothy J. Norman, Nir Oren, Murat Sensoy
• Keywords: ATAL 2015, Intelligent Agents