Now showing items 21-40 of 291

    • An experimental study measuring human annotator categorization agreement on commonsense sentences 

      Santos, Henrique; Kejriwal, Mayank; Mulvehill, Alice; Forbush, Gretchen; McGuinness, Deborah L. (Experimental Results, 2021-06-18)
      Developing agents capable of commonsense reasoning is an important goal in Artificial Intelligence (AI) research. Because commonsense is broadly defined, a computational theory that can formally categorize the various kinds ...
    • Towards a Domain-Agnostic Computable Policy Tool 

      Falkow, Mitchell; Santos, Henrique; McGuinness, Deborah L. (2021-06-01)
      Policies are often crucial for decision-making in a wide range of domains. Typically they are written in natural language, which leaves room for different individual interpretations. In contrast, computable policies offer ...
    • The Personal Health Library: Taking EHR design to the Next Level 

      Ammar, Nariman; Seneviratne, Oshani; Bailey, James; Davis, Robert; McGuinness, Deborah L.; Shaban-Nejad, Arash (The Knowledge Graph Conference, 2021-05)
      Technology maturation in EHR design has evolved over the years. Formal data semantics and rich knowledge encoded in ontologies lead to new era of personalized precision medicine. Also, Web technologies have enabled EHRs ...
    • Applying Personal Knowledge Graphs to Health 

      Shirai, Sola; Seneviratne, Oshani; McGuinness, Deborah L. (arXiv, 2021-04)
      Knowledge graphs that encapsulate personal health information, or personal health knowledge graphs (PHKG), can help enable personalized health care in knowledge-driven systems. In this paper we provide a short survey of ...
    • Semantic Modeling for Food Recommendation Explanations 

      Padhiar, I.; Seneviratne, Oshani; Chari, Shruthi; Gruen, Daniel M.; McGuinness, Deborah L. (IEEE, 2021-03)
      With the increased use of AI methods to provide recommendations in the health, specifically dietary recommendation space, there is also an increased need for explainability of those recommendations. Such explanations would ...
    • Exploring and Analyzing Machine Commonsense Benchmarks 

      Santos, Henrique; Gordon, Minor; Liang, Jason; Forbush, Gretchen; McGuinness, Deborah L. (2021-02-01)
      Commonsense question-answering (QA) tasks, in the form of benchmarks, are constantly being introduced for challenging and comparing commonsense QA systems. The benchmarks provide question sets that systems’ developers can ...
    • Designing for AI Explainability in Clinical Context 

      Gruen, Daniel M.; Chari, Shruthi; Foreman, Morgan A.; Seneviratne, Oshani; Richesson, Rachel; Das, Amar K.; McGuinness, Deborah L. (AAAI, 2021-02)
      The growing use of artificial intelligence in medical settings has led to increased interest in AI Explainability (XAI). While research on XAI has largely focused on the goal of increasing users' appropriate trust and ...
    • Ingredient Substitutions Using a Knowledge Graph of Food 

      Shirai, Sola; Seneviratne, Oshani; Gordon, Minor; Chen, Ching Hua; McGuinness, Deborah L. (2021-01-25)
      People can affect change in their eating patterns by substituting ingredients in recipes. Such substitutions may be motivated by specific goals, like modifying the intake of a specific nutrient or avoiding a particular ...
    • Identifying Ingredient Substitutions Using a Knowledge Graph of Food 

      Shirai, Sola S.; Seneviratne, Oshani; Gordon, Minor E.; Chen, Ching-Hua; McGuinness, Deborah L. (Frontiers Media S.A., 2021-01-25)
      People can affect change in their eating patterns by substituting ingredients in recipes. Such substitutions may be motivated by specific goals, like modifying the intake of a specific nutrient or avoiding a particular ...
    • Commonsense Knowledge Mining from Term Definitions 

      Liang, Jason; McGuinness, Deborah L. (2021-01-02)
      Commonsense knowledge has proven to be beneficial to a variety of application areas, including question answering and natural language understanding. Previous work explored collecting commonsense knowledge triples automatically ...
    • Provenance in Data Science: From Data Models to Context-Aware Knowledge Graphs 

      McGuinness, Deborah L.; Seneviratne, Oshani; Sikos, Leslie (Springer, Cham, 2021)
      Presents a collection of provenance techniques and state-of-the-art metadata-enhanced, provenance-aware, knowledge graph-based representations to be used for information processing, management, aggregation, fusion, and ...
    • BERT-based Semantic Query Graph Extraction for Knowledge Graph Question Answering 

      Liang, Zhicheng; Peng, Zixuan; Yang, Xuefeng; Zhao, Fubang; Liu, Yunfeng; McGuinness, Deborah L. (CEUR-WS, 2021)
      Answering complex questions involving multiple entities and relations remains a challenging Knowledge Graph Question Answering (KGQA) task. To extract a Semantic Query Graph (SQG), we propose a BERT-based decoder that is ...
    • Explanation Ontology: A Model of Explanations for User-Centered AI 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel; Foreman, Morgan; Das, Amar; McGuinness, Deborah L. (2020-11-01)
      Explainability has been a goal for Artificial Intelligence (AI) systems since their conception, with the need for explainability growing as more complex AI models are increasingly used in critical, high-stakes settings ...
    • Semantics-Driven Ingredient Substitution in the FoodKG 

      Shirai, Sola; Seneviratne, Oshani; Gordon, Minor; Chen, Ching Hua; McGuinness, Deborah L. (2020-11-01)
      The proliferation of recipes and other food information on the Web presents an opportunity for discovering and organizing diet-related knowledge into a knowledge graph. Currently, there are several ontologies related to ...
    • Transforming the study of organisms: Phenomic data models and knowledge bases 

      Thessen, Anne; Walls, Ramona; Vogt, Lars; Singer, Jessica; Warren, Robert; Buttigieg, Pier Luigi; Balhof, James; Mungall, Christopher; McGuinness, Deborah L.; Stucky, Brian; Yoder, Matthew; Haendel, Melissa (PLOS Computational Biology, 2020-11-01)
      The rapidly decreasing cost of gene sequencing has resulted in a deluge of genomic data from across the tree of life; however, outside a few model organism databases, genomic data are limited in their scientific impact ...
    • Explanation Ontology in Action: A Clinical Use-Case 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel; Foreman, Morgan; Das, Amar; McGuinness, Deborah L. (2020-11-01)
      We addressed the problem of a lack of semantic representation for user-centric explanations and different explanation types in our Explanation Ontology (https://purl.org/heals/eo). Such a representation is increasingly ...
    • 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 ...
    • A Semi-Automated Approach to Data Harmonization Across Environmental Health Studies 

      Johnson, Matt; Ravi, Meenu; Pinheiro, Paulo; Stingone, Jeanette; McGuinness, Deborah L. (2020-08-01)
      The NIEHS-supported Human Health and Exposure Analysis Resource (HHEAR) Data Center maintains a public-use data repository to promote reuse of environmental health data generated by the HHEAR program. The creation and ...
    • Polymer Nanocomposite Data: Curation, Frameworks, Access and Potential for Discovery and Design 

      Brinson, Cate; Deagen, Michael; Chen, Wei; McCusker, Jamie; McGuinness, Deborah L.; Schadler, Linda; Palmeri, Marc; Ghumman, Umar; Lin, Anqi; Hu, Bingyin (American Chemical Society, Macro Letters, 2020-07-01)
      With the advent of the materials genome initiative (MGI) in the United States and a similar focus on materials data around the world, a number of materials data resources and associated vocabularies, tools, and repositories ...
    • The Semantic Data Dictionary- An Approach for Describing and Annotating Data 

      Rashid, Sabbir; McCusker, Jamie; Pinheiro, Paulo; Bax, Marcello; Santos, Henrique; Stingone, Jeanette; Das, Amar K.; McGuinness, Deborah L. (2020-04-01)
      It is common practice for data providers to include text descriptions for each column when publishing datasets in the form of data dictionaries. While these documents are useful in helping an end-user properly interpret ...