Similarity estimation between interconnected objects appears in many real-world applications and many domain-related measures have been proposed. This work proposes a new perspective on specifying the similarity between resources in linked data, and in general for vertices of a directed graph. More specifically, we compute a measure that says ‘two objects are similar if they are connected by multiple small-length shortest path’. This general similarity measure, called SRank, is based on simple and intuitive shortest paths. For a given domain, SRank can be combined with other domain-specific similarity measures. The suggested model is evaluated in a clustering procedure on a sample data from DBPedia knowledge-base, where the class label of each resource is estimated and compared with the ground-truth class label. Experimental results show that SRank outperforms other similarity measures in terms of precision and recall rate.
The Internet of things (IoT) continues to “smartify” human life while influencing areas such as industry, education, economy, business, medicine, and psychology. The introduction of the IoT in psychology has resulted in various intelligent systems that aim to help people—particularly those with special needs, such as the elderly, disabled, and children. This paper proposes a framework to investigate the role and impact of the IoT in psychology from two perspectives: (1) the goals of using the IoT in this area, and (2) the computational technologies used towards this purpose. To this end, existing studies are reviewed from these viewpoints. The results show that the goals of using the IoT can be identified as morale improvement, diagnosis, and monitoring. Moreover, the main technical contributions of the related papers are system design, data mining, or hardware invention and signal processing. Subsequently, unique features of state-of-the-art research in this area are discussed, including the type and diversity of sensors, crowdsourcing, context awareness, fog and cloud platforms, and inference. Our concluding remarks indicate that this area is in its infancy and, consequently, the next steps of this research are discussed.
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