Browsing Tetherless World Publications by Author "Hendler, James A."

Now showing items 1-20 of 149

    • Understanding the limits of AI coding 

      Hendler, James A. (AAAS, 2023-02-09)
      In the 9 December 2022 issue, the Research Article “Competition-level code generation with AlphaCode” (Y. Li et al., p. 1092) and the accompanying Perspective, “AlphaCode and ‘datadriven’ programming” (J. Z. Kolter, p. ...

    • Semantic Technologies for Clinically Relevant Personal Health Applications 

      Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, James A.; McGuinness, Deborah L.; Monti, Marco; Rastogi, Nidhi; Seneviratne, Oshani; Zaki, Mohammed J (Springer, 2022-11-23)
      Despite recent advances in digital health solutions and machine learning, personal health applications that aim to modify health behaviors are still limited in their ability to offer more personalized decision support. ...

    • Semi automated process for generating knowledge graphs for marginalized community doctoral-recipients. 

      Keshan, Neha; Fontaine, Kathy; Hendler, James A. (Emerald Publishing Limited, 2022-10-13)
      Purpose – This paper aims to describe the “InDO: Institute Demographic Ontology” and demonstrates the InDO-based semiautomated process for both generating and extending a knowledge graph to provide a comprehensive resource ...

    • The (Uncomputable!) Meaning of Ethically Charged Natural Language, for Robots, and Us, from Hypergraphical Inferential Semantics 

      Bringsjord, Selmer; Hendler, James A.; Govindarajulu, Naveen Sundar; Ghosh, Rikhiya; Giancola, Michael (Springer, Cham, 2022-09-08)
      The year is 2030. A two-young-child, two-parent household, the Rubensteins, owns and employs a state-of-the-art household robot, Rodney. With the parents out, the children ask Rodney to perform some action �� that violates ...

    • Loaded Language and Conspiracy Theorizing 

      Klein, Emily; Hendler, James A. (UC Merced, 2022-06)
      Loaded language is an umbrella term for words, phrases, and overall rhetorical strategies that have strong emotional implications and intent to sway others. Belief in conspiracy theories is tied to a range of strong emotions ...

    • Knowledge graphs: Introduction, history, and perspectives 

      Chaudhri, V. K.; Baru, C.; Chittar, N.; Dong, X. L.; Genesereth, M.; Hendler, James A.; Kalyanpur, A.; Lenat, D.; Sequeda, Juan; Vrandečić, D.; Wang, K. (Wiley, 2022-03-31)
      Knowledge graphs (KGs) have emerged as a compelling abstraction for organizing the world's structured knowledge and for integrating information extracted from multiple data sources. They are also beginning to play a central ...

    • End-to-End Table Question Answering via Retrieval-Augmented Generation 

      Pan, FeiFei; Canim, Mustafa; Glass, Michael; Gliozzo, Alfio; Hendler, James A. (arXiv, 2022-03)
      Most existing end-to-end Table Question Answering (Table QA) models consist of a two-stage framework with a retriever to select relevant table candidates from a corpus and a reader to locate the correct answers from table ...

    • InDO: the Institute Demographic Ontology 

      Keshan, Neha; Fontaine, Kathy; Hendler, James A. (Springer, Cham, 2022-01-01)
      Graduate education institutes in the United States (US) have been working on programs to increase the number of students and faculty from marginalized communities. When choosing to pursue a doctoral degree, the common ...

    • InDO: the Institute Demographic Ontology 

      Keshan, Neha; Fontaine, Kathy; Hendler, James A. (Springer, Cham, 2021-11-22)
      Graduate education institutes in the United States (US) have been working on programs to increase the number of students and faculty from marginalized communities. When choosing to pursue a doctoral degree, the common ...

    • AnaXNet: Anatomy Aware Multi-label Finding Classification in Chest X-Ray 

      Agu, Nkechinyere; Wu, Joy T.; Chao, Hanqing; Lourentzou, Ismini; Sharma, Arjun; Moradi, Mehdi; Yan, Pingkun; Hendler, James A. (Springer-Verlag, Berlin, Heidelberg, 2021-09-27)
      Radiologists usually observe anatomical regions of chest X-ray images as well as the overall image before making a decision. However, most existing deep learning models only look at the entire X-ray image for classification, ...

    • Web Futures: Inclusive, Intelligent, Sustainable The 2020 Manifesto for Web Science 

      Berendt, Bettina; Gandon, Fabien; Halford, Susan; Hall, Wendy; Hendler, James A.; Kinder-Kurlanda, Katharina E.; Ntoutsi, Eirini; Staab, Steffen (Schloss Dagstuhl - LZI GmbH, 2021-03-31)
      This Manifesto was produced from the Perspectives Workshop 18262 entitled "10 Years of Web Science" that took place at Schloss Dagstuhl from June 24 – 29, 2018. At the Workshop, we revisited the origins of Web Science, ...

    • Foreign language acquisition via artificial intelligence and extended reality: design and evaluation 

      Divekar, Rahul R.; Drozdal, Jaimie; Chabot, Samuel; Zhou, Yalun; Su, Hui; Chen, Yue; Zhu, Houming; Hendler, James A.; Braasch, Jonas (Taylor & Francis, 2021-02-15)
      Artificial Intelligence (AI) and Extended Reality (XR) have been employed in several foreign language education applications to increase the availability of experiential learning methods akin to international immersion ...

    • Training Deep Neural Networks with Constrained Learning Parameters 

      Date, Prasanna; Carothers, Christopher D.; Mitchell, John E.; Hendler, James A.; Magdon-Ismail, Malik (arXiv, 2020-12)
      Today's deep learning models are primarily trained on CPUs and GPUs. Although these models tend to have low error, they consume high power and utilize large amount of memory owing to double precision floating point learning ...

    • Semantic Web for the Working Ontologist: Third Edition 

      Allemang, Dean; Hendler, James A.; Gandon, F. (ACM Press, 2020-07-28)
      Enterprises have made amazing advances by taking advantage of data about their business to provide predictions and understanding of their customers, markets, and products. But as the world of business becomes more ...

    • Reflections on successful research in artificial intelligence: An introduction 

      Chen, Ching-Hua; Hendler, James A.; Rashid, Sabbir; Seneviratne, Oshani; Sow, Daby; Srivastava, Biplav (Association for the Advancement of Artificial Intelligence, 2019-11-20)
      This editorial introduces the special topic articles on reflections on successful research in artificial intelligence. Consisting of a combination of interviews and full-length articles, the special topic articles examine ...

    • Reflections on: Deep Learning for Noise-Tolerant RDFS Reasoning 

      Makni, Bassem; Hendler, James A. (2019-10-26)
      Since the 2001 envisioning of the Semantic Web (SW), the main research focus in SW reasoning has been on the soundness and completeness of reasoners. While these reasoners assume the veracity of input data, the reality is ...

    • Towards a Cyberphysical Web Science: A Social Machines Perspective on Pokémon GO! 

      De Roure, David; Hendler, James A.; James, Diccon; Nurmikko-Fuller, Terhi; Van Kleek, Max; Wilcox, Pip (ACM, 2019-07)
      The concept of Social Machines has become an established lens to describe the sociotechnical systems of Web Science, and has been applied to some archetypical cyberphysical systems. In this paper we apply this lens to a ...

    • A Journal for Human and Machine 

      Hendler, James A.; Ding, Ying; Mons, Barend (MIT Press, 2019-03-01)
      It is with great pride that the Chinese Academy of Sciences and the MIT Press bring you this new journal of Data Intelligence. This journal has at least two major purposes that we hope embrace. First, it will embrace the ...

    • Enabling Trust in Clinical Decision Support Recommendations through Semantics 

      Seneviratne, Oshani; Das, Amar K.; Chari, Shruthi; Agu, Nkechinyere; Rashid, Sabbir; Chen, Ching-Hua; McCusker, Jamie; Hendler, James A.; McGuinness, Deborah L. (CEUR Workshop Proceedings (CEUR-WS.org), 2019)
      In an ideal world, the evidence presented in a clinical guideline would cover all aspects of patient care and would apply to all types of patients; however, in practice, this rarely is the case. Existing medical decision ...

    • Response to Núñez et al.’s (2019) ‘What happened to cognitive science?' 

      McShane, Marjorie; Bringsjord, Selmer; Hendler, James A.; Nirenburg, Sergei; Sun, Ron (Wiley, 2019)
      Núñez et al.'s (2019) negative assessment of the field of cognitive science derives from evaluation criteria that fail to reflect the true nature of the field. In reality, the field is thriving on both the research and ...