Now showing items 1-20 of 26

    • Aligning Diverse Data for a Personalized Health Knowledge Graph 

      Johnson, Matthew; Ravi, Meenu; Rashid, Sabbir; Pinheiro, Paulo; McGuinness, Deborah L. (The Knowledge Graph Conference, 2020)
    • Annotating Diverse Scientific Data With HAScO 

      Pinheiro, Paulo; Bax, Marcello; Santos, Henrique; Rashid, Sabbir; Liang, Jason; Liu, Yue; Ne'eman, Yarden; McCusker, Jamie; McGuinness, Deborah L. (2018-10-01)
      Ontologies are being widely used across many scientific fields, most notably in roles related to acquiring, preparing, integrating and managing data resources. Data acquisition and preparation activities are often difficult ...
    • Broad, Interdisciplinary Science In Tela: An Exposure and Child Health Ontology 

      McCusker, Jamie; Rashid, Sabbir; Liang, Jason; Chastain, Katherine; Pinheiro, Paulo; Stingone, Jeanette; McGuinness, Deborah L. (2017-06-25)
      Data curation for interdisciplinary collaborative science requires a new online web-based approach that integrates domain knowledge from multiple resources and enables in tela (in the web) interactive collaboration between ...
    • Creating and Using an Education Standards Ontology to Improve Education 

      Rashid, Sabbir; McGuinness, Deborah L. (CEUR Workshop Proceedings, 2018)
      We present an education standards ontology that has the potential for simplifying lesson planning for teachers, providing support for students by linking relevant resources, and providing a potential terminology for use ...
    • Developing Scientific Knowledge Graphs Using Whyis 

      McCusker, Jamie; Rashid, Sabbir; Agu, Nkechinyere; Bennett, Kristin; McGuinness, Deborah L. (CEUR Workshop Proceedings, 2018)
      We present Whyis, the first framework for creating custom provenance-driven knowledge graphs. Whyis knowledge graphs are based on nanopublications, which simplifies and standardizes the production of structured, ...
    • Employing Hybrid Reasoning to Support Clinical Decision-Making 

      Rashid, Sabbir (CEUR Workshop Proceedings, 2020-11-03)
      Clinical reasoning, involving abstraction, abduction, deduction, and induction, is the primary tool that physicians use when making clinical decisions. To support them, we focus on the creation of an AI system that is able ...
    • 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 ...
    • G-Prov: Provenance management for clinical practice guidelines 

      Agu, Nkechinyere; Keshan, Neha; Chari, Shruthi; Seneviratne, Oshani; Rashid, Sabbir; Das, Amar; McCusker, Jamie; McGuinness, Deborah L. (CEUR Workshop Proceedings, 2019-10-27)
      Providing provenance of treatment suggestions made by clinical decision support systems can enhance transparency and trust in these systems by healthcare practitioners. Provenance can aid in resolving ambiguity and conflicts ...
    • HADatAc: A Framework for Scientific Data Integration using Ontologies 

      Pinheiro, Paulo; Santos, Henrique; Liang, Jason; Liu, Yue; Rashid, Sabbir; McGuinness, Deborah L.; Bax, Marcello (2018-10-01)
      To investigate the cause and progression of a phenomenon, such as chronic disease, it is essential to collect a wide variety of data that together explains the complex interplay of different factors, e.g., genetic, lifestyle, ...
    • 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 ...
    • Knowledge Integration for Disease Characterization: A Breast Cancer Example 

      Seneviratne, Oshani; Rashid, Sabbir; Chari, Shruthi; Bennett, Kristin; Hendler, James A.; McGuinness, Deborah L. (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 ...
    • Leveraging Semantics for Large-Scale Knowledge Graph Evaluation 

      Rashid, Sabbir; Viswanathan, Amar; Gross, Ian; Kendall, Elisa; McGuinness, Deborah L. (Association for Computing Machinery, 2017-06-25)
      Knowledge graphs (KG) are being used extensively in different industries for data driven applications. These industrial knowledge graphs, due to their large scale and heterogeneity, are often constructed using automated ...
    • A music theory ontology 

      De Roure, David; McGuinness, Deborah L.; Rashid, Sabbir (Association for Computing Machinery, 2018-10-09)
      Many existing music ontologies have focused on expressing metadata related to performances or recordings, aiding with recommendations of songs or artists, and studying the psychological affects of music. These music ...
    • Nanomine: A Knowledge Graph for Nanocomposite Materials Science 

      McCusker, Jamie; Keshan, Neha; Rashid, Sabbir; Deagen, Michael; Brinson, Cate; McGuinness, Deborah L. (2020-11-01)
      Knowledge graphs can be used to help scientists integrate and explore their data in novel ways. NanoMine, built with the Whyis knowledge graph framework, integrates diverse data from over 1,700 polymer nanocomposite ...
    • NanoMine: Ontology-Enabled Polymer Nanocomposite Open Community Data Resource 

      McGuinness, Deborah L.; Brinson, Catherine; Chen, Wei; Schadler, Linda; McCusker, Jamie; Keshan, Neha; Rashid, Sabbir (TWC RPI, 2022-02)
      Our evolving semantics=driven data resource, named NanoMine, is an open access, user friendly, living, growing, data resource for the polymer nanocomposites community that is scalable and enables improved understanding of ...
    • On the Creation of Knowledge Graphs: A Report on Best Practices and their Future 

      Rashid, Sabbir; Blomqvist, Eva; Shimizu, Cogan; Dumontier, Michel (Dagstuhl reports, 2019)
      Knowledge Graphs have an important role in organizing and making information more broadly available to people and machines. While many knowledge graphs have been developed, the approaches used to build them can differ ...
    • Ontology-enabled Breast Cancer Characterization 

      Seneviratne, Oshani; Rashid, Sabbir; Chari, Shruthi; McCusker, Jamie; Bennett, Kristin; Hendler, James A.; McGuinness, Deborah L. (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 ...
    • 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 Successful Research in Artificial Intelligence: An Introduction 

      Chen, CH; Hendler, James A.; Rashid, Sabbir; Seneviratne, Oshani; Sow, D.; Srivastava, B. (AAAI, 2019)
      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 ...
    • The Semantic Data Dictionary Approach to Data Annotation & Integration 

      Rashid, Sabbir; Chastain, Katherine; Stingone, Jeanette; McGuinness, Deborah L.; McCusker, Jamie (CEUR Workshop Proceedings, 2017-10-20)
      A standard approach to describing datasets is through the use of data dictionaries: tables which contain information about the content, description, and format of each data variable. While this approach is helpful for a ...