Authors:
Tudor Groza
and
Siegfried Handschuh
Affiliation:
National University of Ireland, Ireland
Keyword(s):
Semantic Metadata, Information Expansion, Information Visualization, Knowledge Capturing.
Related
Ontology
Subjects/Areas/Topics:
Applications
;
Applications and Case-studies
;
Artificial Intelligence
;
Collaboration and e-Services
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Information Systems Analysis and Specification
;
Knowledge Acquisition
;
Knowledge Engineering and Ontology Development
;
Knowledge Representation
;
Knowledge-Based Systems
;
Natural Language Processing
;
Ontologies and the Semantic Web
;
Ontology Engineering
;
Pattern Recognition
;
Semantic Web
;
Soft Computing
;
Symbolic Systems
Abstract:
The exponential growth of the World Wide Web in the last decade, brought an explosion in the information space, with important consequences also in the area of scientific research. Lately, finding relevant work in a particular field and exploring links between relevant publications, became a cumbersome task. In this paper we propose a hybrid approach to automatic extraction of semantic metadata from scientific publications that can help to alleviate, at least partially, the above mentioned problem. We integrated the extraction mechanisms in an application targeted to early stage researchers. The application harmoniously combines the metadata extraction with information expansion and visualization for the seamless exploration of the space surrounding scientific publications.