The main objective of the IWWISS’14 is to explore whether the underlying ideas of Web Intelligence and technologies can meet the domain of Smart Sensors to allow the development of an open information space which we call the Smart Sensing Web. The Smart Sensing Web unifies the real and the virtual world by integrating sensor technologies and Web intelligence technologies. The workshop intends to provide a forum for exchange of experience among researchers from industry and academia actively involved in research, development and evaluation of new concepts, theoretical methods and experimental characterization and for debating different innovative solutions. Practitioners involved in applications domains are also welcome to present their tasks and to participate to these discussions. The workshop will feature a selective technical program consisting of regular research papers and demos/posters. The workshop is in cooperation with Academy of Human Informatics. Objectives and scientific positioning Researchers in sensing technologies provide technological means to capture environmental, technical, physiological data. They provide the raw material on which applications will be built. Sensor data is the basis for Internet of Things (IoT) and the smart world. Due to various characteristics of sensor data and their corresponding processing requirements, such as multisource, heterogeneous, real-time, huge-volume, flowing, continuous, ever-expanding and spatio-temporal, many traditional data processing and integration approaches begin to show their limitations, particularly when dealing with situations like sensor data and its application deluge. Rigorous research activities are going on world-wide on these issues. Data analysis and knowledge extraction (data mining, machine learning) is required to treat these data and to detect correlations into data, or discovering patterns or abnormalities as regard to dynamically evolving situations. Data files as well as data streams can be treated, and real or symbolic values are used depending on the Web-based systems are the means for accessing remote information and for decision making based on the sensed and the processed data. Through means such as the ontologies and the linked data, the semantic web technologies have provided particle means to this aim. Social applications, Internet of things, Ubiquitous computing are examples of applications making use of semantised sensed or processed data. Semantisation, privacy, trust, context awareness, community management, and data visualization are some issues related to this area.