A Methodological Approach to Incorporating Data-On-The-Web: Sociological and Psychological Considerations

Printer-friendly version

Authors:Tim Lebo

Concepts:Provenance, Xinformatics, , &


For those wishing to construct an effective visualization, an understanding of human cognition is essential. This understanding must be even more comprehensive -- and detailed -- when striving to develop an automated system to produce visualizations of a disparate body of data, for a diverse set of audiences viewing the resulting visual messages with a variety of goals within a variety of contexts. After a brief review of the ongoing objectives for such a system and why it should be based on the Resource Description Framework and Linked Data principles, I will present the data aggregation and incorporation methodology developed over the past year to address practical concerns for a wealth of real-life data. The remainder of the talk will reflect upon the sociological and psychological cognitive factors of the challenges we faced, the solutions we established, and the remaining concerns we have yet to address. http://bitly.com/lebo-cogsci-issues-2011 will be used to share additional resources for this talk.


DateCreated ByLink
April 11, 2011
Tim LeboDownload

Related Projects:

DCO-DS LogoLinking Open Government Data (LOGD)
Principal Investigator: Deborah L. McGuinness and Jim Hendler
Description: The LOGD project investigates the role of Semantic Web technologies, especially Linked Data, in producing, enhancing and utilizing government data published on Data.gov and other websites.

Related Research Areas:

Data Science
Lead Professor: Peter Fox
Description: Science has fully entered a new mode of operation. Data science is advancing inductive conduct of science driven by the greater volumes, complexity and heterogeneity of data being made available over the Internet. Data science combines of aspects of data management, library science, computer science, and physical science using supporting cyberinfrastructure and information technology. As such it is changing the way all of these disciplines do both their individual and collaborative work.

Data science is helping scienists face new global problems of a magnitude, complexity and interdisciplinary nature whose progress is presently limited by lack of available tools and a fully trained and agile workforce.

At present, there is a lack formal training in the key cognitive and skill areas that would enable graduates to become key participants in escience collaborations. The need is to teach key methodologies in application areas based on real research experience and build a skill-set.

At the heart of this new way of doing science, especially experimental and observational science but also increasingly computational science, is the generation of data.

Inference And Trust
Lead Professor: Deborah L. McGuinness
Description: Inference And Trust
Knowledge Provenance
Lead Professor: Deborah L. McGuinness
Description: Knowledge Provenance
Concepts: Provenance,
Lead Professor: Peter Fox
Description: In the last 2-3 years, Informatics has attained greater visibility across a broad range of disciplines, especially in light of great successes in bio- and biomedical-informatics and significant challenges in the explosion of data and information resources. Xinformatics is intended to provide both the common informatics knowledge as well as how it is implemented in specific disciplines, e.g. X=astro, geo, chem, etc. Informatics' theoretical basis arises from information science, cognitive science, social science, library science as well as computer science. As such, it aggregates these studies and adds both the practice of information processing, and the engineering of information systems.
Concepts: ,