Now showing items 1-5 of 5
Taming Wild Big Data
(AAAI Press, 2014-11-13)
Wild Big Data is data that is hard to extract, understand, and use due to its heterogeneous nature and volume. It typically comes without a schema, is obtained from multiple sources and provides a challenge for information ...
Rafiki: A Semantic and Collaborative Approach to Community Health-care in Underserved Areas
Community Health Workers (CHWs) act as liaisons between health-care providers and patients in underserved or un-served areas. However, the lack of information sharing and training support impedes the effectiveness of CHWs ...
Semantics for Privacy and Shared Context
(CEUR Workshop Proceedings, 2014-10-20)
Capturing, maintaining, and using context information helps mobile applications provide better services and generates data useful in specifying information sharing policies. Obtaining the full benefit of context information ...
A Semantic Context-Aware Privacy Model for FaceBlock
Wearable computing devices like Google Glass are at the forefront of technological evolution in smart devices. The ubiquitous and oblivious nature of photography using these devices has made people concerned about their ...
Infoboxer: Using Statistical and Semantic Knowledge to Help Create Wikipedia Infoboxes
Infoboxer uses statistical and semantic knowledge from linked data sources to ease the process of creating Wikipedia infoboxes. It creates dynamic and semantic templates by suggesting attributes common for similar articles ...