Tetherless World in DSpace@RPI

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The Tetherless World Constellation (TWC) at Rensselaer Polytechnic Institute (RPI) is a multidisciplinary research institution that focuses on the study of theories, methods and applications of the World Wide Web within three inter-connected themes or “Constellations”: Future Web, Semantic Foundations and Xinformatics. TWC aims to make the next generation of the Web usable and responsive to the growing variety of policy, educational, societal and scientific needs.

This DSpace@RPI Community contains records of TWC projects, presentations and publications.

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Recent Submissions

  • NECE: Narrative Event Chain Extraction Toolkit 

    Xu, Guangxuan; Toro Isaza, Paulina; Li, Moshi; Oloko, Akintoye; Yao, Bingsheng; Sanctos, Cassia; Adebiyi, Aminat; Hou, Yufang; Peng, Nanyun; Wang, Dakuo (arXiv, 2022-07-17)
    To understand a narrative, it is essential to comprehend its main characters and the associated major events; however, this can be challenging with lengthy and unstructured narrative texts. To address this, we introduce ...
  • StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement 

    Zhang, Zheng; Xu, Ying; Wang, Yanhao; Yao, Bingsheng; Ritchie, Daniel; Wu, Tongshuang; Yu, Mo; Wang, Dakuo; Jia-Jun Li, Toby (ACM, 2022-04-29)
    Despite its benefits for children’s skill development and parent-child bonding, many parents do not often engage in interactive storytelling by having story-related dialogues with their child due to limited availability ...
  • Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems 

    Drozdal, Jaimie; Weisz, Justin; Wang, Dakuo; Dass, Gaurav; Yao, Bingsheng; Zhao, Changruo; Muller, Michael; Ju, Lin; Su, Hui (ACM, 2020-03-17)
    We explore trust in a relatively new area of data science: Automated Machine Learning (AutoML). In AutoML, AI methods are used to generate and optimize machine learning models by automatically engineering features, selecting ...
  • Leveraging Large Language Models for Mental Health Prediction via Online Text Data 

    Xu, Xuhai; Yao, Bingsheng; Dong, Yuanzhe; Yu, Hong; Hendler, James A.; Dey, Anind K.; Wang, Dakuo (ACM, 2023-07-26)
    The recent technology boost of large language models (LLMs) has empowered a variety of applications. However, there is very little research on understanding and improving LLMs' capability for the mental health domain. In ...
  • Semantically enabling clinical decision support recommendations 

    Seneviratne, Oshani; Das, Amar K.; Chari, Shruthi; Agu, Nkechinyere N.; Rashid, Sabbir M.; McCusker, Jamie P.; Franklin, Jade S.; Qi, Miao; Bennett, Kristin P.; Chen, Ching-Hua; Hendler, James A.; McGuinness, Deborah L. (BMC/Springer Nature, 2023-07-18)
    Background Clinical decision support systems have been widely deployed to guide healthcare decisions on patient diagnosis, treatment choices, and patient management through evidence-based recommendations. These recommendations ...
  • Loaded Language and Conspiracy Theories on Reddit and Parler 

    Klein, Emily; Hendler, James A.; Golbeck, Jen (eScholarship.org (Univ. of California), 2023)
    Previous research found that loaded language (i.e., words, phrases, and overall rhetorical strategies that have strong emotional implications and intent to sway others) is used with significantly greater frequency by users ...
  • Towards an Indoor Environmental Quality Management Ontology 

    Chung, Jihoon; Jacoby-Cooper, Gabriel; Rook, Kelsey; Santos, Henrique; Shelden, Dennis; Kendall, Elisa F.; McGuinness, Deborah L. (First International Workshop on Semantic Web on Constrained Things @ESWC-23 (SWoCoT-23), 2023-05)
    Buildings consume one-third of the world’s energy and are some of the major energy consumers on the planet. Occupants use this energy for enhancing indoor environmental quality (IEQ) which is affected by many factors ...
  • Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture 

    Yao, Bingsheng; Jindal, Ishan; Popa, Lucian; Katsis, Yannis; Ghosh, Sayan; He, Lihong; Lu, Yuxuan; Srivastava, Shashank; Hendler, James A.; Wang, Dakuo (arXiv, 2023-05-23)
    Data annotation is a costly task; thus, researchers have proposed low-scenario learning techniques like Active-Learning (AL) to support human annotators; Yet, existing AL works focus only on the label, but overlook the ...
  • Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations 

    Yao, Bingsheng; Sen, Prithviraj; Popa, Lucian; Hendler, James A.; Wang, Dakuo (Association for Computational Linguistics, 2023-07)
    Human-annotated labels and explanations are critical for training explainable NLP models. However, unlike human-annotated labels whose quality is easier to calibrate (e.g., with a majority vote), human-crafted free-form ...
  • Characterizing Common Quarterly Behaviors In DeFi Lending Protocols 

    Green, Aaron; Giannattasio, Michael; Wang, Keran; Erickson, John S.; Seneviratne, Oshani; Bennett, Kristin P. (Springer, Cham., 2023-07)
    The emerging decentralized financial ecosystem (DeFi) is comprised of numerous protocols, one type being lending protocols. People make transactions in lending protocols, each of which is attributed to a specific blockchain ...
  • Facilitating Reuse of Mental Health Questionnaires via Knowledge Graphs 

    Santos, Henrique; Rook, Kelsey; Pinheiro, Paulo; Gruen, Daniel M.; Chorpita, Bruce F.; McGuinness, Deborah L. (The Healthcare and Life Sciences Symposium, 2023-05-08)
    Questionnaires are one of the most common instrument types for screening patients for mental disorders. They are composed of items whose answers are typically scored to determine the elevation on a specified dimension, and ...
  • Eat4Genes: A Bioinformatic Rational Gene Targeting App and Prototype Model for Improving Human Health 

    Ford, M.L.; Cooley, J.M.; Sripada, V.; Erickson, John S.; Bennett, Kristin P.; Crawford, Dana R. (Frontiers in Nutrition, 2023-05-04)
    Eat4Genes is a prototype diet recommendation web app for patients, healthcare providers, and researchers that aids in the selection of a healthy diet to help treat and prevent numerous health conditions. Our approach is ...
  • Whyis 2: An Open Source Framework for Knowledge Graph Development and Research 

    McCusker, Jamie; McGuinness, Deborah L. (Springer, 2023-03-23)
    Whyis is the first open source framework for creating custom provenance-driven knowledge graph applications, or KGApps, support- ing three principal tasks: knowledge curation, inference, and interaction. It has been used ...
  • Interactive, Web-based Visualizations for Hierarchical Information and Knowledge in Geosciences: An Implementation on the Dana Classification and its Applications 

    Zhong, Hao; Prabhu, Anirudh; Huang, Fang; Eleish, Ahmed; Chastain, Katherine; Thomson, Brenda; Narkar, Shweta; Fontaine, Kathleen; Hummer, DR; Morrison, SM; Downs, RT. (AGU, 2019-12-10)
    The Dana System of Mineralogy, developed by James Dwight Dana in the mid-19th century, classifies minerals by anionic composition and crystal structure. In testament to the success of its organizational philosophy, for ...
  • Global patterns of subsurface microbial diversity through deep time and space 

    Rogers, Karyn L; Colwell, FS; Ruff, E.; Payet, JP; Adam, P.; Bornemann, T.; Briggs, BR; Eleish, Ahmed; Gaidos, E.; Hoarfrost, A.; Huang, Fang (AGU, 2019-12-13)
    Marine and terrestrial subsurface sediments and rocks are the largest habitat for life on Earth. This deep biosphere harbors an estimated 7x1029microbial cells making up approximately 70% of all prokaryotes on Earth. These ...
  • Exploration of artificial intelligence approaches to Earth observing remote sensing 

    Eleish, Ahmed; Winslow, L. A.; Prabhu, Anirudh; Kelly, M.; Kolar, H.; Rose, K. C.; Fox, Peter (AGU, 2019-12-01)
    Freshwater ecosystems such as lakes and reservoirs are important natural resources providing services such as drinking water, hydropower, fisheries, and support to regional economies. Traditionally, water quantity and ...
  • Virtual Reality Visualization in the Deep Carbon Observatory 

    Kreylos, O.; Crist, D.; Dannberg, J.; Fox, Peter; Kellogg, L.; Morrison, SM; Prabhu, Anirudh; Pratt, K.; Wood, J. (EGU, 2019-06-01)
    Based on our experience with virtual reality investigations in the Deep Carbon Observatory (DCO), we will present VR applications, including video demonstrations, to explain how VR is being used to advance scientific ...
  • Reproducible Workflow 

    Prabhu, Anirudh; Fox, Peter (Encyclopedia of Mathematical Geosciences, 2021-01-01)
    Reproducibility has been consistently identified as an important component of scientific research. Although there is a general consensus on the importance of reproducibility along with the other commonly used 'R' terminology ...
  • Dehydration of glaucophane in the system Na2O–MgO–Al2O3–SiO2–H2O and the effects of NaCl-, CO2-and silicate-bearing aqueous fluids 

    Cheng, N.; Jenkins, D.M.; Huang, Fang (Journal of Petrology, 2020-02-15)
    Arc magmas are thought to be generated by partial melting of the mantle wedge above the subduction slab, which is triggered by the fluids from the dehydration of subducting oceanic crust. Among the dehydration reactions, ...
  • Predicting unknown mineral localities based on mineral associations 

    Prabhu, Anirudh; Morrison, SM; Eleish, Ahmed; Narkar, Shweta; Fox, Peter; Golden, JJ; Downs, RT; Perry, S; Burns, PC; Ralph, J; Runyon, SE (AGU, 2019-12-10)
    The oldest minerals are surviving materials from the formation of our solar system and they provide information about the evolution of Earth and other planets. Mindat (mindat.org), the Mineral Evolution Database ...

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