Research activities in the Intelligent Internet and Information Systems Lab focus on web intelligence, online content search, understanding, mining, and recommendation, with particular emphasis on information retrieval and knowledge discovery regarding biomedical contents. We have conducted extensive studies on automatic document-content understanding, text mining, and text-information fusion from multiple sources. The lab’s research portfolio further includes projects on artificial intelligence, computer graphics and visualization techniques, human-computer interaction, digital art and design and calligraphy. The lab holds 25 approved invention patents and 55 registered software copyright licenses. Recent externally funded projects include big data computing for cancer informatics. The Internet and online social media have revolutionized the way medical knowledge is disseminated and health information is exchanged and shared among patients, supporters and health care providers. Online patient communities have grown substantially with millions of active participants from all age groups. Recent studies on researching and analyzing social media content for health-related applications show that these cyber trends provide access to valuable health information, traditionally acquired with scientific methods such as observational epidemiological studies. Our research leverages the power of online content, including user-generated content on social networking sites, to tackle complex migration patterns and their effect on environmental cancer risk.