John S. Erickson Projects

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John S. Erickson
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Project PI

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.
ApartNet LogoTWC ApartNet (ApartNet)
Principal Investigator: John S. Erickson
Co Investigator: Patrick West
Description: TWC ApartNet is a social network-based tool to help RPI graduate students and others find housing advice and learning about solutions that meet their needs from their peers.

Project CO-PI

DCO-DS LogoDeep Carbon Observatory Data Science (DCO-DS)
Principal Investigator: Peter Fox
Co Investigator: John S. Erickson and Jim Hendler
Description: Given this increasing data deluge, it is clear that each of the Directorates in the Deep Carbon Observatory face diverse data science and data management needs to fulfill both their decadal strategic objectives and their day-to-day tasks. This project will assess in detail the data science and data management needs for each DCO directorate and for the DCO as a whole, using a combination of informatics methods; use case development, requirements analysis, inventories and interviews.
First Responders logoFirst Responders Requirements Metholodology (FirstResponders)
Principal Investigator: Deborah L. McGuinness
Co Investigator: John S. Erickson
Description: The purpose of this project is to design and prototype a requirements-gathering methodology driven by the first responders community. The methodology will include examining the current state of collecting and synthesizing responder requirements, assessing the effectiveness of that process, evaluating existing candidate platforms for use within this community, and producing a roadmap that can be used by NIST and others to achieve a solution enabling the responder community to more effectively dialogue with key stakeholders. A prototype implementation of the methodology will be developed using the roadmap and will be available for testing and evaluation and requirements gathering.
Web Science Research Center (WSRC)
Principal Investigator: Deborah L. McGuinness
Co Investigator: John S. Erickson
Description: Web Science is the study of the World Wide Web and its impact on both society and technology, positioning the Web as an object of scientific study unto itself. Web Science recognizes the Web as a transformational, disruptive technology; its practitioners study the Web, its components, facets and characteristics. Ultimately, Web Science is about understanding the Web and anticipating how it might evolve in the future.

Project Collaborator

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 and other websites.
Repurposing Drugs with Semantics (ReDrugS)
Principal Investigator: Jonathan Dordick and Deborah L. McGuinness
Description: We aim to find new effective treatments for disease using existing drugs. Our approach is to gather and integrate existing data using semantic technologies to help discover promising drug repurposing.
TWC Project LogoTWC Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Co Investigator: Joshua Shinavier
Description: provides a collection of schemas — html tags — that webmasters can use to markup their pages in ways recognized by major search providers. Search engines including Bing, Google, Yahoo! and Yandex rely on this markup to improve the display of search results, making it easier for people to find the right web pages. Since early 2012 researchers at TWC RPI have been working with government and research data providers to define vocabularies for expressing the structured data that powers their web sites, using on-page markup based on vocabularies. In particular, we developed the extension, a concise vocabulary that extends for describing datasets and data catalogs. Current work includes applying Dataset to scientific datasets and developing new extensions for use by Web Observatories
TW LogoTWC Web Observatory (WebObservatory)
Principal Investigator: Deborah L. McGuinness
Co Investigator: Jim Hendler
Description: The Web Science Research Center at TWC RPI is working with other members of the Web Science Trust to create a global "Web Observatory". The global movement toward Open Data and transparency have successfully motivated the release of very large institutional and commercial data sets describing social phenomena, economic indicators and geographic trends. This proliferation of data represents great opportunity for researchers and industry but this data abundance also threatens to make it ever more difficult to locate, analyse, compare and interpret useful information in a consistent and reliable way; a situation which can only get worse unless we can help stakeholders perform useful analysis rather than drowning in a sea of data. A global Web Observatory will offer an institutional framework to promote the use of W3C and other standards in the development of Semantic Catalogues to globally locate existing data sets, Collection Systems to gather new global data sets, and Analytics Tools and methodologies to analyse these data sets.