Now showing items 1-20 of 99

    • Semantic Technologies for Clinically Relevant Personal Health Applications 

      Chen, Ching-Hau; Gruen, Daniel; Harris, Jonathan; Hendler, Jim; 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. ...
    • InDO: the Institute Demographic Ontology 

      Keshan, Neha; Fontaine, Kathy; Hendler, Jim (Iberoamerican Knowledge Graphs and Semantic Web Conference. Springer, Cham, 2021., 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, Jim (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, ...
    • Enabling Trust in Clinical Decision Support Recommendations through Semantics 

      Seneviratne, Oshani; Das, Amar K.; Agu, Nkechinyere; Rashid, Sabbir M.; Chen, Ching-Hua; McCusker, Jamie P.; Hendler, Jim; McGuinness, Deborah (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 ...
    • Ontology-enabled Breast Cancer Characterization 

      Seneviratne, Oshani; Rashid, Sabbir; Chari, Shruthi; McCusker, Jamie; Bennett, Kristin; Hendler, Jim; McGuinness, Deborah (2018-10-01)
      We address the problem of characterizing breast cancer, which today is done using staging guidelines. Our demo will show different breast cancer staging results that leverage the Whyis semantic nanopublication knowledge ...
    • Knowledge Integration for Disease Characterization: A Breast Cancer Example 

      Seneviratne, Oshani; Rashid, Sabbir; Chari, Shruthi; Bennett, Kristin; Hendler, Jim; McGuinness, Deborah (2018-07-20)
      With the rapid advancements in cancer research, the information that is useful for characterizing disease, staging tumors, and creating treatment and survivorship plans has been changing at a pace that creates challenges ...
    • A Play on Words: Using Cognitive Computing as a Basis for AI Solvers in Word Puzzles 

      Manzini, Thomas; Ellis, Simon; Hendler, Jim (Journal of Artificial General Intelligence, 2015-11-27)
      In this paper we offer a model, drawing inspiration from human cognition and based upon the pipeline developed for IBM’s Watson, which solves clues in a type of word puzzle called syllacrostics. We briefly discuss its ...
    • Pragmatics and Discourse in Knowledge Graphs 

      Viswanathan, Amar; De Mel, Geeth; Hendler, Jim (2015-11-27)
      Knowledge graphs (KGs) are fast becoming the cornerstone of research for storing and retrieving information effectively due to their ability to link heterogeneous data, make inferences, and discover new knowledge without ...
    • Entity linking for biomedical literature 

      Zheng, Jin; Howsmon, Daniel; Zhang, Boliang; Hahn, Juergen; McGuinness, Deborah; Hendler, Jim; Ji, Heng (BMC Medical Informatics and Decision Making, 2015-05-20)
      Background The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received ...
    • The Importance of Authoritative URI Design Schemes for Open Government Data 

      Bulazel, Alexei; DiFranzo, Dominic; Erickson, John; Hendler, Jim (International Journal of Public Administration in the Digital Age (IJPADA), 2015-01-01)
      A major challenge when working with open government data is managing, connecting, and understanding the links between references to entities found across multiple datasets when these datasets use different vocabularies to ...
    • Entity Linking for Biomedical Literature 

      Zheng, Jin; Howsmon, Daniel; Zhang, Boliang; Hahn, Juergen; McGuinness, Deborah; Hendler, Jim; Ji, Heng (2014-11-07)
      The Entity Linking (EL) task links entity mentions from an unstructured document to entities in a knowledge base. Although this problem is well-studied in news and social media, this problem has not received much attention ...
    • Amplify scientific discovery with artificial intelligence 

      Gil, Yolanda; Greaves, Mark; Hendler, Jim; Hirsh, Haym (Science Magazine, 2014-10-10)
      Technological innovations are penetrating all areas of science, making predominantly human activities a principal bottleneck in scientific progress while also making scientific advancement more subject to error and harder ...
    • The Web Observatory Extension: Facilitating Web Science Collaboration through Semantic Markup 

      DiFranzo, Dominic; Erickson, John; Gloria, Kristine; Luciano, Joanne; McGuinness, Deborah; Hendler, Jim (2014-04-11)
      The multi-disciplinary nature of Web Science and the large size and diversity of data collected and studied by its practitioners has inspired a new type of Web resource known as the Web Observatory. Web observatories are ...
    • Characterize Investor Attention on the Social Web 

      Li, Xian; Hendler, Jim (2013-09-20)
      We study the allocation problem of investor attention, the scarce and important economic resource in the information era, through practitioners' tweeting behaviors. We develop formalisms of "cognitive niches", interplays ...
    • Open Government Data: A Data Analytics Approach 

      Erickson, John; Viswanathan, Amar; Shinavier, Joshua; Hendler, Jim (IEEE Intelligent Systems, 2013-09-01)
      In December 2010 the International Open Government Dataset Search (IOGDS) team at the Tetherless World Constellation at Rensselaer Polytechnic Institute embarked on a project to discover, document and analyze open data ...
    • Supporting a Web Science Education 

      Gloria, Kristine; Hendler, Jim; McGuinness, Deborah (2013-05-01)
      As the field of Web Science matures, it is critical to develop an infrastructure to support students interested in understanding the future of information technologies. More importantly, it is imperative to develop classes, ...
    • Web science: a new frontier 

      Shadbolt, Nigel; Hall, Wendy; Hendler, Jim; Dutton, William (Philosophical Transactions of The Royal Society, 2013-02-28)
      During the past 20 years, humans have built the largest information fabric in history. The World Wide Web has been transformational. People shop, date, trade and communicate with one another using it. Although most people ...
    • Applying Multidimensional Navigation and Explanation in Semantic Dataset Summarization 

      Michaelis, James; McGuinness, Deborah; Chang, Cynthia; Luciano, Joanne; McCusker, Jamie; Hendler, Jim (2012-11-13)
    • An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration 

      Zhang, Xiaoqin; Shrestha, Bhavesh; Yoon, Sungwook; Kambhampati, Subbarao; DiBona, Phillip; Guo, Jinhong; McFarlane, Daniel; Hofmann, Martin; Whitebread, Kenneth; Appling, Darren; Whitaker, Elizabeth; Trewhitt, Ethan; Ding, Li; Michaelis, James; McGuinness, Deborah; Hendler, Jim; Doppa, Janardhan; Parker, Charles; Dietterich, Thomas; Tadepalli, Prasad; Wong, Weng-Keen; Green, Derek; Rebguns, Anton; Spears, Diana; Kuter, Ugur; Levine, Geoff; DeJong, Gerald; MacTavish, Reid; Ontanon, Santiago; Radhakrishnan, Jainarayan; Ram, Ashwin; Mostafa, Hala; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; Lesser, Victor; Song, Zhexuan (ACM Transactions on Intelligent Systems and Technology, 2012-09-01)
      We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our ...
    • An Ensemble Architecture for Learning Complex Problem-Solving Techniques from Demonstration 

      Zhang, Xiaoqin; Shrestha, Bhavesh; Yoon, Sungwook; Kambhampati, Subbarao; DiBona, Phillip; Guo, Jinhong; McFarlane, Daniel; Hofmann, Martin; Whitebread, Kenneth; Appling, Darren; Whitaker, Elizabeth; Trewhitt, Ethan; Ding, Li; Michaelis, James; McGuinness, Deborah; Hendler, Jim; Doppa, Janardhan; Parker, Charles; Dietterich, Thomas; Tadepalli, Prasad; Wong, Weng-Keen; Green, Derek; Rebguns, Anton; Spears, Diana; Kuter, Ugur; Levine, Geoff; DeJong, Gerald; MacTavish, Reid; Ontanon, Santiago; Radhakrishnan, Jainarayan; Ram, Ashwin; Mostafa, Hala; Zafar, Huzaifa; Zhang, Chongjie; Corkill, Daniel; Lesser, Victor; Song, Zhexuan (Transactions on Intelligent Systems and Technology, 2012-09-01)
      We present a novel ensemble architecture for learning problem-solving techniques from a very small number of expert solutions and demonstrate its effectiveness in a complex real-world domain. The key feature of our ...