Summary form only given, as follows. A complete record of the panel discussion was not made available for publication as part of the conference proceedings. Smart cities can be described as a smart system comprising numerous integrated smart systems that fuse and share data, including personal and potentially sensitive private information. Such circumstances could intrude on the rights to privacy, and human dignity, with disclosures potentially harmful to the individual, families, friends, associates, and communities. This workshop will examine ways to promote the best outcomes for the residents and visitors of smart cities through the lens of human rights. Affective rights will also be discussed as requisite to formulating the optimal smart city. Moreover, this workshop will foster discussion around the still relatively nascent technology of Affective Computing, which is the application of AI (Artificial Intelligence), ML (Machine Learning), biometric measurement, sentiment analysis, and psychological factor assessment in determining and interacting with the affective states of the individual. This workshop is open to all stakeholders in smart city development and management, including computer scientists, engineers, smart city integrators, application developers, third party vendors, ethicists, city managers and administrators. It should be especially informative for oversight and governance organizations providing auditing and performance evaluations.

Semantic search importance is growing each day as millions of people around the world need to obtain objective and concrete information. Guided-based systems are an alternative to natural language systems regarding the query construction method. However, current guided-based systems perform query validation only at a syntactical level. In this paper we address the semantic validation of queries in order to avoid redundancy and incoherency, therefore preventing the formulation of queries that do not make sense.

Guided-based systems are an alternative to natural language systems regarding the query construction method. We present a new solution that bridges the gap between these two types of systems by providing a hybrid interface which combines a graphical query interface for query construction with the correspondent natural language expression automatically generated by the system.