Document management has become an important consideration for the scientific community over the last decade. Human knowledge is central to many scientific domains, thus it is not possible to completely automate the document management process. Managing scientific documents require a semi-automatic approach to overcome issues of large volume, yet support the human participation in the process. In this paper we present Kino, a set of tools that streamline the document management process in life science domains. Kino is integrated with National Center for Biomedical Ontology (NCBO), providing scientists access to quality domain models. Annotated documents are indexed using a faceted indexing and search engine that provides fine grained search capabilities to the scientists. We present two use cases that highlight the pain points in managing scientific literature and also include an empirical evaluation.
Ranabahu, A. H.,
& Sheth, A. P.
(2011). Kino: A Generic Document Management System for Biologists using SA-REST and Faceted Search. Proceedings of the Fifth IEEE International Conference on Semantic Computing, 205-208.
Additional FilesKinoPPT.pdf (234 kB)