Jim Hendler Projects

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Jim Hendler
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Project PI

COSMIC LogoCloud-Oriented Social Media Inference And Counteraction (COSMIC)
Principal Investigator: V. Subrahmanian and Jim Hendler
Co Investigator: Deborah L. McGuinness
Description: COSMIC will combine novel algorithms from sentiment analysis, probabilistic temporal learning of diffusion of messages/opinion in social networks, forecasting and prediction of the reach of messages in social media, and game-theoretic methods to counteract diffusion of messages, into a highly modular, loosely-coupled framework and software platform to address the objectives of DARPA’s Social Media in Strategic Communication (SMISC) Program.
DOfAMP Project LogoDeveloping Ontologies for Additive Manufacturing Processes (DOfAMP)
Principal Investigator: Jim Hendler
Co Investigator: Peter Fox
Description: We propose the development of the field of materials processing ontology so that the US establishes leadership in this critical technological arena. The goal is the development of a framework, language and algorithm set for organizing and categorizing the myriad relationships between materials processing, properties and structure. No ubiquitous framework currently exists for relating materials processing parameters to properties and structure that translates across multiple materials fields and technologies. In essence, an advanced “Dewey Decimal System” is needed for materials processing, such that data and knowledge that is developed in one materials processing technology can cross-pollinate across other materials technologies.
EAGER Project LogoEAGER: Semantic Search (EAGER)
Principal Investigator: Jim Hendler
Description: NSF EAGER project to explore advanced semantic technology for data search.
Generalized Integrated Learning Architecture (GILA)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
Description: The Generalized Integrated Learning Architecture [GILA] is a general-purpose integrated multi-agent platform that solves domain problems by learning from a problem-solution pair submitted by a human expert. One of the key purposes of GILA is to learn how humans solve complex problems and apply this knowledge to future problems. A complex problem domain known as the Airspace Control Scenario has been chosen to drive the development of GILA and evaluate its performance. The objective of this problem domain is to resolve conflicts in a collection of airspace allocations for aircrafts.
Health Data Challenge (HealthData)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
Co Investigator: Alvaro Graves and Tim Lebo
Description: An infrastructure for large-scale collaboration around aggregation, generation, and publication of health-related Linked Data.
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.
ORGPedia LogoORGPedia Corporate Intelligence (ORGPedia)
Principal Investigator: Jim Hendler
Description: This project is for creating prototypes of linking open corporate data for the ORGPedia project. It will be a portal for integrated disparate datasets about corporations across levels of government and agencies.
data.rpi.edu Project LogoRensselaer Polytechnic Institute Data Services (Data.rpi.edu)
Principal Investigator: Jim Hendler and Peter Fox
Description: Providing data storage, data services, data access, data discovery, data search, and data lifecycle and management for RPI research projects.
SPP Project LogoSocial Practices (SPP)
Principal Investigator: Jim Hendler
Description: The overall goal of this project is to explore and establish a better understanding of privacy in this highly-networked world. This page features the tools and workflow needed to accomplish such a task. We argue that while much has been written and discussed about privacy in various domains (e.g., law, psychology, economic behavior, security, etc.), it remains unclear what exactly is the privacy problem? Our aim is to reframe our own understanding of privacy by moving away from these traditional disjointed compartments of knowledge. Moreover, given the complexity, we advocate this research question as an exemplar for the value of combining efforts between human and machine. This project features tools, workflow(s) and best practices we've developed and implemented to accomplish such a task. This is and will be a work in progress. Any comments and or feedback are welcomed. Please email Kristine Gloria at glorim@rpi.edu for more information.
TWC schema.org Project LogoTWC Schema.org Vocabulary Development (TWC_Schemas)
Principal Investigator: Jim Hendler
Co Investigator: Joshua Shinavier
Description: schema.org 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 schema.org vocabularies. In particular, we developed the schema.org/Dataset extension, a concise vocabulary that extends schema.org for describing datasets and data catalogs. Current work includes applying Dataset to scientific datasets and developing new extensions for use by Web Observatories
DCO-DS LogoTheory and Practice of Accountable Systems (TPAS)
Principal Investigator: Jim Hendler
Description: The TPAS Project investigates computational and social properties of information networks necessary to provide reliable assessments of compliance with rules and policies governing the use of information.
TAMI LogoTransparent and Accountable Datamining Initiative (TAMI)
Principal Investigator: Jim Hendler and Deborah L. McGuinness
Description: The TAMI Project is creating technical, legal, and policy foundations for transparency and accountability in large-scale aggregation and inferencing across heterogeneous information systems.

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.
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.
SeSF Project LogoSemantic eScience Framework (SeSF)
Principal Investigator: Peter Fox
Co Investigator: Jim Hendler and Deborah L. McGuinness
Description: Over the past few years, semantic technologies have evolved and new tools are appearing. Part of the effort in this project will be to accommodate these advances in the new framework and lay out a sustainable software path for the (certain) technical advances. In addition to a generalization of the current data science interface, we will include an upper-level interface suitable for use by clearinghouses, and/or educational portals, digital libraries, and other disciplines.
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.

Project Collaborator

Jefferson Project at Lake George Project LogoE-Science Jefferson Project on Lake George (Jefferson Project)
Principal Investigator: Deborah L. McGuinness
Description: The Jefferson Project at Lake George is building one of the world’s most sophisticated environmental monitoring and prediction systems, which will provide scientists and the community with a real-time picture of the health of the lake. Launched in June 2013, the project aims to understand and manage multiple complex factors—including road salt incursion, storm water runoff, and invasive species—all threatening one of the world’s most pristine natural ecosystems and an economic cornerstone of the New York tourism industry. The project is a three-year, multimillion-dollar collaboration between Rensselaer Polytechnic Institute, IBM, and The FUND for Lake George. The collaboration partners expect that the world-class scientific and technology facility at the Rensselaer Darrin Fresh Water Institute at Lake George will create a new model for predictive preservation and remediation of critical natural systems in Lake George, in New York, and ultimately around the world.