Author:
Tim W. Nattkemper
Affiliation:
Bielefeld University, Germany
Keyword(s):
Science 2.0, Knowledge Discovery, Data Mining, Information Visualization, Information Sharing, Semantic Annotation, Cooperative Data Analysis, Web 2.0.
Related
Ontology
Subjects/Areas/Topics:
Artificial Intelligence
;
Biomedical Engineering
;
Collaboration and e-Services
;
Communication, Collaboration and Information Sharing
;
Complex Systems Modeling and Simulation
;
Data Engineering
;
e-Business
;
Enterprise Information Systems
;
Health Information Systems
;
Integration/Interoperability
;
Intelligent Information Systems
;
Interoperability
;
KM Strategies and Implementations
;
Knowledge Management and Information Sharing
;
Knowledge-Based Systems
;
Metadata and Structured Documents
;
Ontologies and the Semantic Web
;
Sensor Networks
;
Simulation and Modeling
;
Software Agents and Internet Computing
;
Software and Architectures
;
Symbolic Systems
;
Tools and Technology for Knowledge Management
Abstract:
In this position paper the impact of web development on knowledge discovery and information sharing in natural sciences and humanities is discussed. While on the one hand the potential of moving data analysis to the web is huge, one has to deal with fundamental obstacles on both levels: administrative/political and scientific/algorithmic. Some recent trends in Science 2.0 applications and tools in scientific research are summarized and discussed. Afterwards the reasons for limitations in the Science 2.0 progress are identified. The paper concludes with the opinion, that information sciences in general and the fields of data mining, visualization, statistical learning and applied computer sciences (such as bioinformatics, or medical informatics) have not kept pace with the development and should reconsider some of their research foci.