Tim Lebo Project Participation

Printer-friendly version
Tim Lebo
Contact Info

Project CO-PI

Health Data Challenge (HealthData)
Principal Investigator: Deborah L. McGuinness and Jim Hendler
Co Investigator: Alvaro Graves, Tim Lebo, and James McCusker
Description: An infrastructure for large-scale collaboration around aggregation, generation, and publication of health-related Linked Data.
TW Elixir: Web Interface for csv2rdf4lod Copnversion Automation (Elixir)
Principal Investigator: John S. Erickson
Co Investigator: Tim Lebo
Description: The goal of TW Elixir is to create an intuitive, interactive Web-based "front end" for the csv2rdf4lod conversion automation stack. Elixir will make it easy for users to create high-quality Linked Data. TW Elixir code will be made available to the community as open source.

Project Collaborator

FUSE LogoForesight and Understanding from Scientific Exposition (FUSE)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Jim Hendler
Description: Technical emergence refers to the process whereby innovative ideas, capabilities, applications, and even entirely new fields of study arise, are tested, mature, and, if conditions are favorable, demonstrate feasibility and impact. IARPA’s Foresight and Understanding from Scientific Exposition (FUSE) Program is sponsoring advanced research and development (R&D) to develop automated systems that aid in the systematic, continuous, and comprehensive assessment of technical emergence using information derived from the published scientific, technical, and patent literature.
Health on the Web
Principal Investigator: Deborah L. McGuinness and Joanne S. Luciano
Description: The Tetherless World Constellation's Health on the Web's primary goal is to explore the next generation web technology needed to improve health.
Inference Web Project LogoInference Web
Principal Investigator: Deborah L. McGuinness
Description: The Inference Web is a Semantic Web based knowledge provenance infrastructure that supports interoperable explanations of sources, assumptions, learned information, and answers as an enabler for trust. Provenance - if users (humans and agents) are to use and integrate data from unknown, uncertain, or multiple sources, they need provenance metadata for evaluation Interoperability - more systems are using varied sources and multiple information manipulation engines, thus increasing interoperability requirements Explanation/Justification - if information has been manipulated (i.e., by sound deduction or by heuristic processes), information manipulation trace information should be available Trust - if some sources are more trustworthy than others, trust ratings are desired The Inference Web consists of two important components: Proof Markup Language (PML) Ontology - Semantic Web based representation for exchanging explanations including provenance information - annotating the sources of knowledge justification information - annotating the steps for deriving the conclusions or executing workflows trust information - annotating trustworthiness assertions about knowledge and sources IW Toolkit - Web-based and standalone tools that facilitate human users to browse, debug, explain, and abstract the knowledge encoded in PML.
DCO-DS LogoLinking Open Government Data (LOGD)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
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.
PopSciGrid LogoPopulation Science Grid (PopSciGrid)
Principal Investigator: Deborah L. McGuinness
Description: The National Cancer Institute’s (NCI) PopSciGrid Community Health Portal is an evolving platform demonstrating how health behavior, policy, and demographic data can be integrated, visualized, and communicated to empower communities and support new avenues of research and policy for cancer prevention and control. As a proof of concept for cyber-enabled population health research, the PopSciGrid Portal is designed to encourage trans-disciplinary collaboration, data harmonization, and development of new computational methods for disparate health related data.
SemantEco Annotator Project LogoSemantEco Annotator
Principal Investigator: Deborah L. McGuinness
Co Investigator: Patrice Seyed
Description: Generating useful RDF linked data is not a straightforward process for scientists using today's tools. In this project we introduce the SemantEco Annotator, a semantic web application that leverages community-based vocabularies and ontologies during the translation process itself to ease the process of drawing out implicit relationships in tabular data so that they may be immediately available for use within the LOD cloud. Our goal for the SemantEco Annotator is to make advanced RDF translation techniques available to the layperson.