Browsing Tetherless World Publications by Author "McGuinness, Deborah L."
Now showing items 21-40 of 289
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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 ... -
Foundations of Explainable Knowledge-Enabled Systems
Chari, Shruthi; Seneviratne, Oshani; Gruen, Daniel M.; McGuinness, Deborah L. (IOS Press, 2020-04)Explainability has been an important goal since the early days of Artificial Intelligence. Several approaches for producing explanations have been developed. However, many of these approaches were tightly coupled with the ... -
Gastrointestinal Symptoms and Oral Antibiotic Use in Children with Autism Spectrum Disorder: Retrospective Analysis of a Privately Insured U.S. Population
Vargason, Troy; McGuinness, Deborah L.; Hahn, Juergen (Journal of Autism and Developmental Disorders, 2020-02-01)A retrospective analysis of administrative claims data from a large U.S. health insurer was performed to study a potential association between oral antibiotic use during early childhood and occurrence of later gastrointestinal ...