Now showing items 1-20 of 241

    • Knowledge Graph Construction from Data, Data Dictionaries, and Codebooks: the National Health and Nutrition Examination Surveys Use Case 

      Santos, Henrique; Pinheiro, Paulo; McGuinness, Deborah (2022-09-29)
      CDC’s National Health and Nutrition Examination Surveys (NHANES) is a continuous survey that aims to study the relationship between diet, nutrition, and health and their roles in designated population subgroups with selected ...
    • Differences in Cancer Phenotypes Among Frequent CHEK2 Variants and Implications for Clinical Care—Checking CHEK2 

      Bychkovsky, Brittany L; Agaoglu, Nihat B; Horton, Carolyn; Zhou, Jing; Yussuf, Amal; Hemyari, Parichehr; Richardson, Marcy E; Young, Colin; LaDuca, Holly; McGuinness, Deborah; Scheib, Rochelle; Garber, Judy E; Rana, Huma Q (JAMA Oncol., 2022-09-22)
      Importance Germline CHEK2 pathogenic variants (PVs) are frequently detected by multigene cancer panel testing (MGPT), but our understanding of PVs beyond c.1100del has been limited. Objective To compare cancer phenotypes ...
    • Designing a strong test for measuring true common-sense reasoning 

      Kejriwal, Mayank; Santos, Henrique; Mulvehill, Alice; McGuinness, Deborah (Nature Machine Intelligence, 2022-04-22)
      Common-sense reasoning has recently emerged as an important test for artificial general intelligence, especially given the much-publicized successes of language representation models such as T5, BERT and GPT-3. Currently, ...
    • Geospatial Reasoning with shapefiles for Supporting Policy Decisions 

      Santos, Henrique; McCusker, Jamie; McGuinness, Deborah (2021-10-12)
      Policies are authoritative assets that are present in multiple domains to support decision-making. They describe what actions are allowed or recommended when domain entities and their attributes satisfy certain criteria. ...
    • Dimensions of Commonsense Knowledge 

      Ilievski, Filip; Oltramari, Alessandro; Ma, Kaixin; Zhang, Bin; McGuinness, Deborah; Szekely, Pedro (Knowledge-Based Systems, 2021-10-11)
      Commonsense knowledge is essential for many AI applications, including those in natural language processing, visual processing, and planning. Consequently, many sources that include commonsense knowledge have been designed ...
    • Leveraging Clinical Context for User-Centered Explainability: A Diabetes Use Case 

      Chari, Shruthi; Chakraborty, Prithwish; Ghalwash, Mohamed; Seneviratne, Oshani; Eyigöz, Elif; Gruen, Daniel; Suarez Saiz, Fernando; Chen, Ching Hua; Meyer Rojas, Pablo; McGuinness, Deborah (CoRR, 2021-07-01)
      Academic advances of AI models in high-precision domains, like healthcare, need to be made explainable in order to enhance real-world adoption. Our past studies and ongoing interactions indicate that medical experts can ...
    • An experimental study measuring human annotator categorization agreement on commonsense sentences 

      Santos, Henrique; Kejriwal, Mayank; Mulvehill, Alice; Forbush, Gretchen; McGuinness, Deborah (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 (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 ...
    • Exploring and Analyzing Machine Commonsense Benchmarks 

      Santos, Henrique; Gordon, Minor; Liang, Jason; Forbush, Gretchen; McGuinness, Deborah (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 ...
    • Ingredient Substitutions Using a Knowledge Graph of Food 

      Shirai, Sola; Seneviratne, Oshani; Gordon, Minor; Chen, Ching Hua; McGuinness, Deborah (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 (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; 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 ...
    • Nanomine: A Knowledge Graph for Nanocomposite Materials Science 

      McCusker, Jamie; Keshan, Neha; Rashid, Sabbir; Deagen, Michael; Brinson, Cate; McGuinness, Deborah (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 ...
    • Explanation Ontology: A Model of Explanations for User-Centered AI 

      Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel; Foreman, Morgan; Das, Amar; McGuinness, Deborah (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 (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; 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 (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 ...
    • A Semi-Automated Approach to Data Harmonization Across Environmental Health Studies 

      Johnson, Matt; Ravi, Meenu; Pinheiro, Paulo; Stingone, Jeanette; McGuinness, Deborah (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; 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; McGuinness, Deborah (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 ...