The SocialSensor project activities are organized into Work Packages (WP) as follows:
|Requirements and Design
|WP1 delineates the research directions based on the user requirements, and provides a common research framework. It also takes care of harmonising the evaluation practices among research activities (WP2-WP5) and coordinating the development evaluation activities (WP6-WP8).
|The means to improve the user experience on the web goes through the automatic understanding of information streams, through a sensor mining approach. SocialSensor attempts to bring new mining techniques for intelligently merging the content coming from different sources and performing analysis on the aggregate representation, effectively managing the arrival of large, heterogeneous and evolving data.
|In order to leverage the user experience in a real-time environment, the content delivery and quality of service aspect is also considered in the project framework. The semantic middleware of the SocialSensor platform allows ad hoc networked users to seamlessly discover, compose and share semantically-relevant multimedia data and services. For this purpose, it includes components for (a) semantic peer-to-peer selection and composition planning of data services that are relevant to a given query; (b) semantic query answering over continuous streams of potentially inconsistent social data; and (c) intelligent caching, pre-fetching and web-based sharing of data in ad hoc user groups.
|Heterogeneous, large-scale data are captured, represented, indexed and searched from social and web sources to provide relevant, and context-aware results for multimedia and text content in a real-time manner using novel social search approaches. The concept of DySCOs is central for social search due to the need for a bridge to organise information between the context-based search needs of information consumers and the indexing and aggregation capabilities of large-scale data stores
|User Modelling and Presentation
|Finally in the user modelling layer, in order to reflect different information needs of users, a user and context model for long-term profiling and short-term activities is created and algorithms and tools for personalised information delivery and recommendations based on user feedback are developed. A personalized presentation of the data extracted with sensor mining and processed through the semantic middleware is provided by means of intuitive interaction metaphors for 3D interaction and object manipulation in Web-based 3D virtual environments
|WP6 provides the technical infrastructure that will materialise the SocialSensor platform, integrates the services coming from the research activities from WP2-WP5, and conducts a technical evaluation on the platform.
|News Use Case
|This workpackage involves specification, development and evaluation of the News use case. See more in the News Use Case section.
|Infotainment Use Case
|This workpackage involves specification, development and evaluation of the Infotainment use case. See more in the Infotainment Use Case section.
|Dissemination and Exploitation
|WP9 disseminates the project knowledge and results into research and industrial communities, and ensures the maximum possible exploitation of the developed tools and platform.
|The management WP (WP10) coordinates, controls, and reports on the achieved progress.