Indexing Mathematical Abstracts by Metadata and Ontology

Monday, April 26, 2004 - 2:00pm - 2:30pm
Keller 3-180
Su-Shing Chen (University of Florida)
Based on earlier results, I will describe some ideas of indexing mathematical abstracts or papers by metadata and ontology. Metadata includes existing subject classification schemes and some recent metadata for electronic records. Ontology is a different approach to index abstracts by clustering them into an information visualization interface so that users may select using ontology as well as metadata.

Statement of Interest: I am interested in searching mathematics in two aspects: to improve the understanding and research on mathematics as a mathematician and to develop novel search algorithms/protocols/architectures for mathematics as a computer scientist.

My recent research has been bioinformatics, applied mathematics to science and engineering. So I am also interested in novel reasoning/searching to enhance interdisciplinary research.