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James Hendler

James Hendler is a computer science topic covered in the lgStudy science library. This page brings together a partial reference excerpt, illustrations, worked examples, real-world applications and a short study plan, so you can understand James Hendler rather than just read about it. In short: James Alexander Hendler (born April 2, 1957) is an artificial intelligence researcher at Rensselaer Polytechnic Institute, United States, and one of the originators of the Semantic Web. He is a Fellow of the National Academy of Public Administration.

James Hendler — main illustration
James Hendler — illustration

Key takeaways

  • James Hendler belongs to computer science; place it in that map before memorising details.
  • Learn the definition first, then one example that makes the definition concrete.
  • Connect James Hendler to a quantity you can measure, compute or draw — that is where exam questions come from.
  • Reproduce the core statement of James Hendler from memory before moving on to harder problems.

Reference excerpt

James Alexander Hendler (born April 2, 1957) is an artificial intelligence researcher at Rensselaer Polytechnic Institute, United States, and one of the originators of the Semantic Web. He is a Fellow of the National Academy of Public Administration.

Education Hendler completed his Doctor of Philosophy degree at Brown University (1986) with a thesis on automated planning and scheduling. He also has an MSc (1983) from Brown University, an MS (1981) in Cognitive Psychology from Southern Methodist University, and a BS (1978) from Yale University.

Research Hendler's research interests are in the semantic web and artificial intelligence. Hendler held a longstanding position as professor at the University of Maryland where he was the Director of the Joint Institute for Knowledge Discovery and held joint appointments in the Department of Computer Science, the Institute for Advanced Computer Studies and the Institute for Systems Research. Hendler was the Director for Semantic Web and Agent Technology at the Maryland Information and Network Dynamics Laboratory. He is a Fellow of the American Association for Artificial Intelligence, the British Computer Society, the Institute of Electrical and Electronics Engineers, the AAAS and the Association for Computing Machinery and the National Academy of Public Administration (United States). Hendler was co-author, with Tim Berners-Lee and Ora Lassila, of the article "The Semantic Web" which appeared in Scientific American in 2001. On June 14, 2006, James A. Hendler was appointed senior constellation professor of the Tetherless World Constellation at Rensselaer Polytechnic Institute, and he became a professor at that institute starting on January 1, 2007. Hendler has appointments in Computer, Web and Cognitive Sciences, and served as the Dean for Information Technology and Web Science from 2009 to 2012. In 2012 he became the Head of the Computer Science Department at RPI and in 2013 he became the Director of the RPI Institute for Data Exploration and Applications. In 2017, he also became the Rensselaer lead of the joint RPI-IBM Center for Health Empowerment by Analytics, Learning and Semantics, (HEALS) a member of the IBM Artificial Intelligence Horizons Network. In 2019, Hendler was named Director of the RPI-IBM Artificial Intelligence Research Collaboration, a large joint project between IBM Research and Rensselaer Polytechnic Institute. In 2022, Hendler became the Founding Director of Rensselaer's Future of Computing Institute. In 2025 he became the head of the cognitive science department at RPI. Hendler helps lead the Tetherless World Constellation on increasing access to information at any time and place without the need for a "tether" to a specific computer or device. Researchers envision an increasingly web-accessible world in which personal digital assistants (PDAs), cameras, music-listening devices, cell phones, smartphones, laptops, and other technologies converge to offer the user interactive information and communication. Hendler is the former chair of the board of directors of the Web Science Trust and has been a visiting professor at Hebrew University, DeMontfort University, Bath Spa University, University of Edinburgh and an honorary professor at Wuhan University and University of Leicester. He is also the Editor in Chief Emeritus of IEEE Intelligent Systems and was the first computer scientist to serve on the Board of Reviewing Editors for Science. He is a former member of the US Air Force Science Advisory Board and a former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA). During his tenure there, he was responsible for projects such as the Control of Agent Based Systems (CoABS) program which led to the creation of other Agent-based projects: Taskable Agent Software Kit (TASK) and DARPA's Agent Markup Language (DAML) - the latter of which was involved in funding the emerging Semantic Web area. Hendler served as an "Internet Web Expert" for the U.S. government, providing guidance to the Data.gov project, and in September 2013 he was appointed as the Open Data Advisor for NY State. In 2015, he was appointed a member of the US Homeland Security Science and Technology Advisory Committee (HSSTAC) and in 2016 appointed to the National Academies Board on Research Data and Information. In 2017, he became a member of the Director's Advisory Committee for the National Security Directorate at PNNL. In 2018, he was appointed chair of the Association for Computing Machinery's US Technology Policy Committee (USTPC, formerly USACM) and in 2021 became chair of the ACM's Global Technology Policy Council. In 2018, Hendler was elected as a Fellow of the National Academy of Public Administration (United States). Since 2018, Hendler has been a regular participant on the Roundtable Panel at WAMC radio and in 2021 he became a member of the Board of Trustees of WAMC.

Books Linking the World’s Information: Essays on Tim Berners-Lee’s Invention of the World Wide Web, O. Seneviratne, J. Hendler (eds), ACM Press, 2023. Social Machines: The coming collision of artificial intelligence, social networking and humanity w/Alice Mulvehill, (2016) Apress ISBN 978-1-4842-1157-1. Web Science:Understanding the Emergence of Macro-Level Features on the World Wide Web w/Kieron O'Hara, Noshir Contractor, Wendy Hall, Nigel Shadbolt; NOW publishers, 2013 - doi:10.1561/1800000017. Semantic Web for the Working Ontologist (w/ Dean Allemang, Fabien Gandon) Morgan Kaufmann (2008) ISBN 1450376142 (second edition, 2011)(third edition, 2020). Spinning the Semantic Web (ed) MIT Press (2005) ISBN 0-262-56212-X Robots for Kids (ed) Morgan Kaufmann (2000) ISBN 1-55860-597-5 Massively Parallel Artificial Intelligence (ed) AAAI Press (1994) ISBN 0-262-61102-3 Expert Systems: The User Interface (ed) Ablex Pub (1988) ISBN 0-89391-429-0 Integrating Marker-Passing and Problem Solving. Lawrence Erlbaum (1987) ISBN 0-89859-982-2

Honors

… excerpt ends here. Continue reading the full article.

Illustrations

James Hendler illustration
James Hendler: This short work is the first draft of a book manuscript by Aaron Swartz written for the series "Synthesis Lectures on the Semantic Web" at the invitation James Hendler. Unfortunately, the book wasn't completed before Aaron's death in January 2013. As a tribute, the editor and publisher are publishing the work digitally without cost.
This short work is the first draft of a book manuscript by Aaron Swartz written for the series "Synthesis Lectures on the Semantic Web" at the invitation James Hendler. Unfortunately, the book wasn't completed before Aaron's death in January 2013. As a tribute, the editor and publisher are publishing the work digitally without cost.

Worked examples

Example 1 — a first encounter with James Hendler

Start with the simplest possible case. Write down what James Hendler claims or describes in one sentence, then invent the smallest concrete situation in which that sentence is true. In computer science, the smallest case is usually a single object, a single equation or a single measurement. Check that every symbol or term in your sentence has a meaning in that case.

Example 2 — changing one variable

Take the situation from Example 1 and change exactly one quantity: double it, halve it, or set it to zero. Predict what should happen to James Hendler before you calculate. Comparing your prediction with the result is the fastest way to find out whether you understand the idea or only the words.

Example 3 — an exam-style question

Typical questions about James Hendler ask you to (a) state it precisely, (b) apply it to given data, and (c) explain a limitation. Practise writing all three answers in under five minutes; the third part is what separates a full-mark answer from an average one.

Applications of James Hendler

In research
James Hendler appears in computer science research whenever the underlying quantities have to be modelled precisely. Papers usually cite it as a starting assumption and then explore where it breaks down.
In technology and industry
Engineering practice reuses James Hendler in design rules, simulations and safety margins. Knowing the idea lets you read a specification sheet and understand why the numbers look the way they do.
In the classroom
James Hendler is common in secondary-school and first-year university syllabi. It links to neighbouring topics 1957 births, American computer scientists, Artificial intelligence researchers, so understanding it makes those chapters shorter.
In everyday life
Look for James Hendler outside the textbook — in sport, cooking, traffic, electronics or the sky above you. An example you found yourself is remembered far longer than one you were given.
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How to study James Hendler in 20 minutes

  1. Read the reference excerpt below once, without taking notes.
  2. Close the page and write down what James Hendler means in your own words.
  3. Compare your version with the excerpt and mark what you missed.
  4. Work through the three examples above with pen and paper.
  5. Explain James Hendler out loud to somebody else — or to Teacher Smith in the lgStudy chat.

Frequently asked questions

What is James Hendler in simple terms?

James Alexander Hendler (born April 2, 1957) is an artificial intelligence researcher at Rensselaer Polytechnic Institute, United States, and one of the originators of the Semantic Web. He is a Fellow of the National Academy of Public Administration.

Why does James Hendler matter?

Because it connects several computer science ideas at once: it gives you a definition you can apply, a quantity you can calculate, and a way to check whether a result is plausible.

How should I study James Hendler?

Read the excerpt, restate it from memory, then work through the examples and applications listed on this page. The five-step study plan above takes about twenty minutes.

What does this page cover?

It gives you a compact reference excerpt plus original lgStudy explanations, examples, applications and study material on James Hendler.

Tags

  • 1957 births
  • American computer scientists
  • Artificial intelligence researchers
  • Brown University alumni
  • Fellows of the American Association for the Advancement of Science
  • Fellows of the Association for Computing Machinery
  • Fellows of the Association for the Advancement of Artificial Intelligence
  • Fellows of the British Computer Society
  • Fellows of the IEEE
  • Living people
  • Rensselaer Polytechnic Institute faculty
  • Semantic Web people

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