The document discusses various challenges and topics related to scientific information retrieval. Some of the key topics discussed include searching across literature and repositories for linked information, searching outside traditional literature and repositories, evaluating relevance and trust of search results, integrating patent information into the scientific worldview, limitations of search tools like Google Scholar, and using machine learning in scientific search. The document raises questions about building tools to help non-specialists search and make sense of large amounts of returned information.

1. Searching Science

3. Picture: Subharghya Das

4. Access to data Access to information Science for all, not just a few Search is Critical

5. Effective search depends on reservoirs of tacit knowledge and unconscious skill. Some people possess much deeper reservoirs, and/or can tap into them more effectively, than others. That makes them valuable. – Jon Udell

11. Knowledge-based Decision Support Semantic Web Metadata Standards