Semantic interoperability is a growing and challenging subject in the healthcare domain. It aims to ensure a coherent and unambiguous exchange, use, and reuse of health information among different systems and applications. In the context of the EUCAIM (Cancer Image Europe) project, semantic interoperability among various heterogeneous cancer image data models is required to support the communication, integration, and sharing of data in a standardized and structured way. For this purpose, hyper-ontology is developed as a common semantic meta-model that bridges the disparate imaging and clinical knowledge of the various repositories in EUCAIM and supports their integration. EUCAIM’s hyper-ontology is also an application-based ontology targeted for federated semantic querying and image annotation. To facilitate the hyper-ontology building process and ensure the extensibility of the ontology model, an iterative hybrid well-founded approach that divides the ontology structure into layers and modules is established.

Digital devices are an integral part of our lives. Through these devices, people produce and save personal data, with or without their explicit awareness. This personal digital information has been exploited by companies, but users find it hard to access and search in a uniform way, due to the heterogeneity, fragmentation of data and non-uniform access interface. By integrating and organizing this information into common kinds of everyday episodes ("scripts") that people engage in, we can help users recall and explore forgotten details of their past. However, being able to recognize such episodes in the user’s personal digital information requires not only script knowledge (e.g., the steps/actions in the script), but also explicit knowledge about the digital traces potentially left behind by each of the actions. In this paper, we present "One Of Us", a web-based multiplayer game, which collects descriptions of different kinds of personal digital traces, by having players identify the digital traces that might be produced by each of the actions in a given script. We report on the results of an experimental study, which gives evidence that our game is i) enjoyable, ii) accounts for uncommon answers, iii) validates and assesses knowledge by having the players vote on other’s responses - thus not requiring a second round of quality assessment, and iv) dynamically acquires new pieces of information.

Personal information is typically fragmented across multiple, heterogeneous, distributed sources and saved as small, heterogeneous data objects, or traces. The DigitalSelf project at Rutgers University focuses on developing tools and techniques to manage (organize, search, summarize, make inferences on and personalize) such heterogeneous collections of personal digital traces. We propose to demonstrate YourDigitalSelf, a mobile phone-based personal information organization application developed as part of the DigitalSelf project. The demonstration will use a sample user data set to show how several disparate data traces can be integrated and combined to create personal narratives, or coherent episodes, of the user's activities. Conference attendees will be given the option to install YourDigitalSelf on their own devices to interact with their own data.