Big Data technology is new challenges to create human profiles, monitor social behavior, provide decision support based on social trends or discover new service providing opportunities. The objective of this workshop is to highlight new research directions in providing healthcare services granules represented in Cloud Semantics based on IoP (internet of People) preferences. The IoP cloud will provide ordered preference on people in connection to health needs and crisis services. These two services are represented as knowledge-based systems in IoH (internet of Health) in cloud semantics, and also internet of Crisis (IoC) in another cloud.  These collaborative clouds provide health services to user (specially the elderly) based on semantical analysis in relation to their preferences. System handles these situational (different scenarios) predictions for diagnosis and healthcare services. We discuss what kind of problems and solutions tacking such technologies.  We discuss the physical and mental features surroundings elderly situations and representing all as a set of criteria for decision making.  We also discuss on-shelf robots like Nao and Pepper to be used for handling homecare transaction for elderly as application domain. We discuss multi-modal sensing to collect physical data on elderly, transfer the data to the cloud, for reasoning and prediction, and then provide mechanism scenario that download to on-shelf robot that can handle help tasks for the elderly. We discuss knowledge-based systems, data mining techniques, multi- dimensional feature extraction on multi-data stream.