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

  • CLTR: An End-to-End, Transformer-Based System for Cell Level Table Retrieval and Table Question Answering 

    Pan, FeiFei; Canim, Mustafa; Glass, M.; Gliozzo, A.; Fox, Peter (arXiv, 2021-06)
    We present the first end-to-end, transformer-based table question answering (QA) system that takes natural language questions and massive table corpus as inputs to retrieve the most relevant tables and locate the correct ...
  • Knowledge Graphs 

    Hogan, Aidan; Gutierrez, Claudio; Cochcz, Michael; de Melo, Gerard; Kirranc, Sabrina; Pollcrcs, Axel; Navigli, Roberto; Ngonga Ngomo, Axcl-Cyrille; Rashid, Sabbir; Schmclzciscn, Lukas; Staab, Stefan; Blomqvist, Eva; d’Amato, Claudia; Gayo, José Emilio Labra; Ncumaicr, Sebastian (Springer, Cham, 2021-09)
    This book provides a comprehensive and accessible introduction to knowledge graphs, which have recently garnered notable attention from both industry and academia. Knowledge graphs are founded on the principle of applying ...
  • In Memoriam: Dr. Norman Paskin, Founding Director, International DOI Foundation Visionary Pioneer of Reference Linking, Metadata and Persistent Identifier Infrastructure 

    Erickson, John S.; Lannom, Laurence W. (Data Science Journal, 2017)
    We were shocked and saddened to learn of the death of our longtime friend and colleague Dr. Norman Paskin in March 2016. Norman will be remembered as the thoughtful and tireless founding director of the International ...
  • Editorial: 20 Years of persistent identifiers – Applications and future directions 

    Klump, J.; Murphy, F.; Weigel, T.; Parsons, Mark (Data Science Journal, 2017)
    Persistent identifiers (PID) have existed for more than 20 years and have become well established as a means for identifying literature and data on the web. They were invented to address the problem of disappearing internet ...
  • Visual Strategies for Heterogeneous Data: Network Analyses in Earth and Space Sciences 

    Fox, Peter; Prabhu, Anirudh; Parsons, Mark (EGU, 2018)
    Recent successes in the application of complex network theory (including multi-partite) and algorithms to how minerals, fossils and proteins evolve over billions of years, have raised expectations that more general ...
  • International Coordination for Science Data Infrastructure: Proceedings of a Workshop–in Brief 

    Parsons, Mark (National Academies Press, 2018)
    Advances in science and technology have led to the creation of large amounts of data—data that could be harnessed to improve productivity, cure disease, and address many other critical issues. Consensus in the scientific ...
  • Practical Advice to Data Centers to Make Data more FAIR 

    Bricher, P. R.; Duerr, Ruth; Parsons, Mark; LeDrew, Ellsworth; Collins, Julia; Vandenberghe, Thomas; Scory, Serge; Godøy, Øystein; Jones, Matthew B.; Alix, Gabrielle (Data Science Journal, 2018)
    The polar research community has a long history of leadership in promoting open and collaborative data sharing. The first International Polar Year in 1882 made the first call for harmonious meteorological observations. The ...
  • The history and future of data citation in practice 

    Parsons, Mark; Duerr, Ruth; Jones, M. B. (Data Science Journal, 2019)
    In this review, we adopt the definition that ‘Data citation is a reference to data for the purpose of credit attribution and facilitation of access to the data’ (TGDCSP 2013: CIDCR6). Furthermore, access should be enabled ...
  • Convergence. Are we there yet? 

    Parsons, Mark (Earth and Space Science Open Archive, 2019-12-17)
    Infrastructure is not truly designed. It evolves. Infrastructure matures and becomes more ubiquitous, accessible, reliable, and transparent as ‘gateways’ begin to connect myriad systems [1]. Often these gateways that ...
  • RDA Recommendation on PID Kernel Information 

    Weigel, T. A.; Plale, B. A.; Parsons, Mark; Zhou, G. A.; Luo, Y. A.; Schwardmann, U. A.; Quick, R. A.; Hellström, M. A.; Kurakawa, K. (Research Data Alliance, 2019)
    Global middleware infrastructure is insufficient for robust data identification, discovery, and use. While infrastructure is emerging within sub-ecosystems such as the DOI ecosystem of services purposed for data and ...
  • Information Maintenance as a Practice of Care 

    The Information Maintainers; Olson, D.; Meyerson, J.; Parsons, Mark; Castro, J.; Lassere, M.; Wright, D. J.; Arnold, H.; Galvan, A. S.; Hswe, P.; Nowviskie, B.; Russell, A.; Vinsel, L.; Acker, A. (The Maintainers and Educopia Institute, 2019)
    An invitation to participate in a broad ranging discussion that infuses information maintenance with practices, relationships, and ways of thinking and being that represent a coherent ethic of care.
  • Make scientific data FAIR 

    Stall, S.; Yarmey, L.; Cutcher-Gershenfeld, J.; Hanson, B.; Lehnert, B.; Nosek, B.; Parsons, Mark; Robinson, E.; Wyborn, L. (AAAS, 2019)
    All disciplines should follow the geosciences and demand best practice for publishing and sharing data, argue Shelley Stall and colleagues.
  • The history and future of data citation in practice 

    Parsons, Mark; Duerr, Ruth; Jones, M. B. (Data Science Journal, 2019)
    In this review, we adopt the definition that ‘Data citation is a reference to data for the purpose of credit attribution and facilitation of access to the data’ (TGDCSP 2013: CIDCR6). Furthermore, access should be enabled ...
  • Convergence. Are we there yet? 

    Parsons, Mark (ESS Open Archive, 2019-12)
    Infrastructure is not truly designed. It evolves. Infrastructure matures and becomes more ubiquitous, accessible, reliable, and transparent as ‘gateways’ begin to connect myriad systems [1]. Often these gateways that ...
  • Developing the Cross-Disciplinary Information Model for NASA’s Science Mission Directorate 

    Duerr, Ruth; Eleish, Ahmed; Parsons, Mark; Berrios, Daniel; Bugbee, Kaylin; Fox, Peter (AGU, 2021-12)
    The five divisions of NASAs Science Mission Directorate (SMD) represent a very broad spectrum of academic disciplines, ranging from Astronomy, to Planetary science, to Heliophysics, Earth science, Biology and Physical ...
  • Making Science Transparent By Default; Introducing the TOP Statement 

    Aalbersberg, IJsbrand Jan; Appleyard, Tom; Brookhart, Sarah; Carpenter, Todd; Clarke, Michael; Curry, Stephen; Dahl, Josh; DeHaven, Alexander C.; Eich, Eric; Franko, Maryrose; Freedman, Leonard; Graf, Chris; Grant, Sean; Hanson, Brooks; Joseph, Heather; Kiermer, Veronique; Kramer, Bianca; Kraut, Alan; Kumar Karn, Roshan; Lee, Carole J.; MacFarlane, Aki; Martone, Maryann Elizabeth; Mayo-Wilson, Evan; McNutt, Marcia; McPhail, Meredith; Mellor, David Thomas; Moher, David; Mudditt, Alison; Nosek, Brian A.; Orland, Belinda; Parker, Timothy H.; Parsons, Mark; Patterson, Mark; Santos, Solange; Shore, Carolyn; Simons, Daniel J.; Spellman, Bobbie; Spies, Jeffrey R.; Spitzer, Matthew; Stodden, Victoria; Swaminathan, Sowmya; Sweet, Deborah; Vazire, Anne TsuiSimine (OSF, 2018-07)
    In order to increase the replicability of scientific work, the scientific community has called for practices designed to increase the transparency of research (McNutt, 2014; Nosek et al., 2015). The validity of a scientific ...
  • G-PROV: A Provenance Encoding Structure for Guideline Evidence 

    Stephen, Shirly; Seneviratne, Oshani; McGuinness, Deborah L.; Chari, Shruthi; Das, Amar (AMIA, 2018-11-03)
  • WebSci 21 Companion 

    Seneviratne, Oshani; Singh, V.; Freire, A.; Luo, J. D. (ACM, 2021-06)
  • International Workshop on Knowledge Graph: Heterogenous Graph Deep Learning and Applications 

    Unknown author (ACM, 2021-08)
    Knowledge graph (KG) is the backbone to enable cognitive Artificial Intelligence (AI), which relies on cognitive computing and semantic reasoning. Knowledge graph is the connected data with the semantically enriched context. ...
  • BlockIoT: Blockchain-based Health Data Integration using IoT Devices 

    Shukla, Manan; Lin, Jianjing; Seneviratne, Oshani (arXiv, 2021-10)
    The development and adoption of Electronic Health Records (EHR) and health monitoring Internet of Things (IoT) Devices have enabled digitization of patient records and has also substantially transformed the healthcare ...

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