Creating the path from data to information to knowledge
Data intelligence is about interacting with data in rich, semantically meaningful ways, going beyond search to create the path from data to information to knowledge.
Search is used to retrieve information on PCs, within corporations, and on the Internet. Search is also a paradigm for rediscovering information long after people have forgotten where they stored their documents, what they named their files, or how they found out about a topic.
We are collaborating with researchers in universities worldwide to bring web search to the next level. These collaborative research ventures ask:
- What new paradigm will enable search to address the dynamic nature of the web?
- How do we identify trends and bring the knowledge back to the user?
Our current collaborative projects apply data mining, machine learning, computational semantic, and knowledge discovery techniques to information analysis, organization, and retrieval in innovative ways.
- Active Computer Science Projects:
Beyond Search – Semantic Computing and Internet Economics
- Previous Computer Science Projects:
Microsoft Live Labs: Accelerating Search in Academic Research
Virtual Earth Academic Research Collaboration
Research Tools and Services
- From some collaborative researchers:
- Extracting Structured Information from Text and Images in On-line Journal Articles for Localization Proteomics, Carnegie Mellon University, 2007
- Information Extraction from Documents and Queries, from Microsoft Research Faculty Summit 2008
- Learning to Rank Using Classification and Gradient Boosting, Li (Stanford University); Burges (Microsoft Research), 2007
- Microsoft Research reports:
Events and Opportunities
- Workshop on Web Search Click Data
February 9, 2009, Barcelona, Spain
- WSDM 2009 - ACM International Conference
Web Search and Data Mining
February 9-12, 2009, Barcelona, Spain
- Past search-related events and presentations: