ChemXSeer – Intelligent Search in the Chemistry Domain
http://chemxseer.ist.psu.edu/

ChemXSeer is an integrated digital library and database allowing for intelligent search of documents in the chemistry domain and data obtained from chemical kinetics. Currently, we have designed and implemented the following: 1) Chemical Entity Search : The tool identifies chemical formulae and chemical names, disambiguates the terms from other general terms, and tags them. Novel similarity scores, ranking functions and search methods are used to enable searching for chemical entities; 2) TableSeer : This tool automatically identifies tables in digital documents and extracts the contents in the cells of the tables. The contents are stored in a queryable table in a database. TableSeer extracts table metadata, and uses a novel ranking function to search for tables relevant to user queries; and 3) Databases : Their data repository contains experimental data obtained from various sources. Their tools can process, store and link data in multiple formats, e.g., Excel, XML, Gaussian, and Charmm. A metadata ad-on can help annotate the data and link multiple datasets.

The metadata is then used to link the data to published articles allow the end-user to search for relevant data. Built using a novel architecture, our digital library will also utilize novel focused crawling and query expansion and rewriting techniques to utilize the limited resources available at hand and to enhance the quality of the search respectively. This has been added to the tools section of Research Resources Subject Tracer™ Information Blog. This will be added to Academic and Scholar Search Engines and Sources White Paper.