ISEM 2016 aims at presenting the most recent works in the area of environmental monitoring based on Web resources (such as [1], [2]) and user-generated content from social media (e.g. photos of the sky). The advancements in digital technologies and the high penetration of Internet have facilitated the sharing of environmental information, such as meteorological measurements and observations of the natural surroundings. Since the analysis of environmental information is critical both for human activities (e.g., agriculture, deforestation) and for the sustainability of the planet (e.g., nature conservation, green living, eco-driving), it is of great importance to develop techniques for the retrieval and aggregation of environmental information that is available over the Internet. Of particular interest is the exploitation of user-generated content, which, despite being of low quality in many cases, could provide important information regarding areas that are not monitored by existing stations. In this context, ISEM 2016 focuses on analysis, retrieval and aggregation of environmental data from the Internet and user-generated content posted in social media, as well as on personalised services and decision support environment-aware applications (e.g. to suggest outdoor activities based on the current environmental conditions).

Research topics of interest for this workshop include, but are not limited to:

  • Indexing and retrieval of environmental data from the Web
  • Analysis of multimedia environmental user-generated content
  • Computer vision for environmental video and image processing
  • Multimedia analysis for weather phenomena and natural disasters understanding
  • Discovery of environmental multimedia information on the Web
  • Content extraction from environmental data on the Web
  • Analysis of public interest in environmental information via social media
  • Aggregation of environmental data from multiple sources
  • Data mining of Web data for environmental applications
  • Social network analysis of environmental communities and discussions on social media
  • Personalised services based on environmental information
  • Fusion of multimedia environmental information
  • User Interfaces, presentation and visualization methods for environmental data
  • Semantic Web approaches for environmental data
  • Decision support services and reasoning of multimedia environmental data
  • Crowdsourcing techniques and citizen science for environmental data mining
  • Sensor-based environmental monitoring