Kino: A Generic Document Management System for Biologists using SA-REST and Faceted Search

Ajith Ranabahu; Priti Parikh; Maryam Panahiazar; Amit Sheth; Flora Logan-Klumpler

doi:10.1109/ICSC.2011.79

Kino: A Generic Document Management System for Biologists using SA-REST and Faceted Search

Ajith Ranabahu, Priti Parikh, Maryam Panahiazar, Amit Sheth, Flora Logan-Klumpler

Surgery

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	American English
Title of host publication	2011 IEEE Fifth International Conference on Semantic Computing
Publisher	IEEE
Pages	205-208
Number of pages	4
ISBN (Electronic)	978-0-7695-4492-2
ISBN (Print)	978-1-4577-1648-5
DOIs	https://doi.org/10.1109/ICSC.2011.79
State	Published - 2011
Event	5th Annual IEEE International Conference on Semantic Computing, ICSC 2011 - Palo Alto, CA, United States Duration: Sep 18 2011 → Sep 21 2011

Conference

Conference	5th Annual IEEE International Conference on Semantic Computing, ICSC 2011
Country/Territory	United States
City	Palo Alto, CA
Period	9/18/11 → 9/21/11

ASJC Scopus Subject Areas

Computational Theory and Mathematics
Computer Science Applications
Theoretical Computer Science

Keywords

Biological literature annotations
Kino
SA-REST
Semantic document management

Disciplines

Bioinformatics
Communication Technology and New Media
Databases and Information Systems
OS and Networks
Science and Technology Studies

Access to Document

10.1109/ICSC.2011.79License: Unspecified

Cite this

Ranabahu, A, Parikh, P, Panahiazar, M, Sheth, A & Logan-Klumpler, F 2011, Kino: A Generic Document Management System for Biologists using SA-REST and Faceted Search. in 2011 IEEE Fifth International Conference on Semantic Computing., 6061356, IEEE, pp. 205-208, 5th Annual IEEE International Conference on Semantic Computing, ICSC 2011, Palo Alto, CA, United States, 9/18/11. https://doi.org/10.1109/ICSC.2011.79

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AU - Logan-Klumpler, Flora

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N2 - 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.

AB - 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.

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Kino: A Generic Document Management System for Biologists using SA-REST and Faceted Search

Abstract

Conference

ASJC Scopus Subject Areas

Keywords

Disciplines

Access to Document

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Cite this