Kristin Stock

ORCID: 0000-0002-5828-6430
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About
Contact & Profiles
Research Areas
  • Geographic Information Systems Studies
  • Data Management and Algorithms
  • Semantic Web and Ontologies
  • Public Relations and Crisis Communication
  • Disaster Management and Resilience
  • Speech and dialogue systems
  • 3D Modeling in Geospatial Applications
  • Seismology and Earthquake Studies
  • Categorization, perception, and language
  • Constraint Satisfaction and Optimization
  • Natural Language Processing Techniques
  • Advanced Database Systems and Queries
  • Service-Oriented Architecture and Web Services
  • Species Distribution and Climate Change
  • Spatial Cognition and Navigation
  • Research Data Management Practices
  • Data-Driven Disease Surveillance
  • Scientific Computing and Data Management
  • Anomaly Detection Techniques and Applications
  • Ethics in Clinical Research
  • Evacuation and Crowd Dynamics
  • Topic Modeling
  • Genomics and Phylogenetic Studies
  • Biomedical Text Mining and Ontologies
  • Cultural Heritage Management and Preservation

Massey University
2015-2024

Washington University in St. Louis
2020

University of Nottingham
2008-2014

Geospatial Research (United Kingdom)
2010-2011

Queensland University of Technology
1998-1999

Abstract The Washington University School of Medicine Knight Alzheimer Disease Research Center's “African American Participation in Research: Effective Strategies” Workshop convened to address a major limitation the ongoing scientific progress regarding Alzheimer's disease and related dementias (ADRD): participants most ADRD research programs overwhelmingly have been limited non‐Hispanic white persons, thus precluding knowledge as how may be represented non‐white individuals. Factors that...

10.1002/alz.12160 article EN Alzheimer s & Dementia 2020-08-17

Natural language descriptions of location can be complex, involving many different elements and often describing by reference to other objects. Descriptions may vague, their meaning depends upon the context within which description has been expressed. Many previous approaches use mathematical models, focus on prepositions, have had limited success application. We present an approach interpretation geospatial natural expressions that uses a knowledge base for human interpretations (in form...

10.1080/13658816.2018.1432861 article EN International Journal of Geographical Information Science 2018-02-07

Abstract The public has access to a range of mobile applications (apps) for disasters. However, there been limited academic research conducted on disaster apps and how the perceives their usability. This study explores end-users’ perceptions usability apps. It proposes conceptual framework based insights gathered from thematically analyzing online reviews. identifies new concerns particular apps’ use: (1) content relevance depends app’s purpose proximate significance information hazard...

10.1007/s13753-020-00282-x article EN cc-by International Journal of Disaster Risk Science 2020-06-03

Several mobile applications (apps) targeted for use by the public during disasters already exist. A large amount of research has been conducted to investigate functionalities these apps in aiding disasters; however, only a few studies have investigated apps' usability context crises. In acute situations, seemingly minor issues can become critical concerns. This study develops guidelines app designers and researchers using an iterative design process. The proposed consider concerns raised...

10.1016/j.pdisas.2020.100118 article EN cc-by-nc-nd Progress in Disaster Science 2020-07-06

Museum collection records are a source of historic data for species occurrence, but little attention is paid to the associated descriptions habitat at sample locations. We propose that artificial intelligence methods have potential use these reconstructing past habitat, address ecological and evolutionary questions.

10.1016/j.tree.2024.01.006 article EN cc-by Trends in Ecology & Evolution 2024-02-13

References to geographic locations are common in text data sources including social media and web pages. They take different forms from simple place names relative expressions that describe location through a spatial relationship reference object (e.g. the house beside Waikato River). Often complex, multi-word phrases employed road railway cross at right angles; line with canal) where relationships communicated various parts of speech prepositions, verbs, adverbs adjectives. We address...

10.1080/13658816.2021.1987441 article EN cc-by-nc-nd International Journal of Geographical Information Science 2021-12-22

The use of a semantically rich registry containing Feature Type Catalogue (FTC) to represent the semantics geographic feature types including operations, attributes and relationships between is required realise benefits Spatial Data Infrastructures (SDIs). Specifically, such information provides more complete representation concepts used in SDI, enables advanced navigation, discovery utilisation discovered resources. presented approach creates an FTC implementation which attributes,...

10.1080/13658810802570291 article EN International Journal of Geographical Information Science 2010-02-01

Among the systems that aim to help users perform map reading tasks, augmented reality (AR) is one of most promising. However, impact this new technology in terms acceptance, motivation and improvement learning process has still not been sufficiently explored. This study aims assess contribution an AR system for improving users' understanding geographic data. Landscape census data from New Zealand were used evaluate performance experiment involving 60 participants. Differences participants'...

10.1080/00087041.2017.1411417 article EN The Cartographic Journal 2017-10-02

Background: Cognitively normal (CN) older adults participating in Alzheimer’s disease (AD) research increasingly ask for their results—including genetic and neuroimaging findings—to understand risk of developing AD dementia. results are typically not returned multiple reasons, including possible psychosocial harms knowing one is at a highly feared untreatable disease. Objective: We developed materials that convey information about 5-year absolute dementia based on results. Methods: 20 CN who...

10.3233/jad-200993 article EN Journal of Alzheimer s Disease 2020-12-15

Abstract Current approaches to the discovery of scientific resources (publications, data sets and web services) are dominated by keyword search. These do not allow scientists search on deeper semantics resources, or discover basis taken. This article evaluates a user interface that allows users through structured knowledge in form ontologies describing domain inherent within resource, also informal tags. combined capabilities provide with new powerful options for resource discovery. A...

10.1111/j.1467-9671.2012.01370.x article EN Transactions in GIS 2012-12-26

A heuristic ontology is an that describes concepts using heuristics (‘rules of thumb’ or guidelines) rather than axioms as in a classical ontology. The can be used to establish whether given instance member the concept defined by data-driven manner. approach may particularly useful if data poor, irregular incomplete. was determine collections land parcels are valid spatio-temporal sequences and thus automatically derive sequence would otherwise have maintained manually, achieving levels...

10.1080/13875868.2015.1004177 article EN Spatial Cognition and Computation 2015-01-21

The COastal and Marine Perception Application for Scientific Scholarship (COMPASS) is a knowledge infrastructure that supports enhanced discovery of scientific resources, including publications, data sets web services. It provides users with the ability to discover resources on basis domain using ontologies, knowledge, models, theories methods were used conduct research described by resource. application includes an architecture adopts standards from geospatial information community ensure...

10.1109/e-science.2009.24 article EN 2009-12-01
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