Dr Kristin Stock staff profile picture

Contact details +6492136719

Dr Kristin Stock GDipSP, GradCertComp, GradDipUrbRegPlan, BSc, PhD

Senior Lecturer in Computer Science and Information Technology

Doctoral Supervisor
School of Mathematical and Computational Sciences

Dr Kristin Stock is Director of the Massey Geoinformatics Collaboratory and a Senior Lecturer in Information Technology.  She completed qualifications in surveying (and is a Registered Surveyor), urban and regional planning and computer science before completing a PhD in semantic database integration at Queensland University of Technology.  She has worked as a mining, engineering and cadastral surveyor and for the government, designing a land information system for the Australian Capital Territory, and also ran a successful geospatial data consultancy, Allworlds Geothinking, in the UK for several years. Kristin worked as a Senior Research Fellow at the University of Nottingham in the UK, before moving to Massey University in 2014. 

Since moving back to NZ from the UK, Kristin has led the formation of the Massey Geoinformatics Collaboratory, funded under the Massey University Strategic Investment Fund. She is a partner in the MBIE funded He Tatai Whenua project, which is developing a Te Ao Māori land classification, and the Earthquake Early Warning project, and leads the MBIE Funded BioWhere project, developing methods to georeference biological collections.  While in the UK, Kristin worked on a number of large international projects including editing the Protected Sites theme for the Europe-wide INSPIRE; developing data models for the EU funded MOTiiVE and Metafor projects (with the British Atmospheric Data Centre); leading research aspects of the JISC funded CoMPASS project and the natural language processing activity in the EU funded EUROGEOSS project. Kristin collaborates with researchers internationally and has chaired several conferences and workshops.

Kristin is interested in how location is described in natural language (text and spoken language), and in developing automated methods to understand and georeferenced complex location descriptions such as we need an ambulance at the far end of the carpark, near the public toilets at Metro Park or the sample was collected on the west bank of the Waikato River, near Hamilton Gardens.

Kristin works with machine learning, rule-based and knowledge representation methods to address the multiple challenges related to understanding these kinds of expressions, and also works on methods for extracting cultural ecosystem services information from text, as well as cross-linguistic studies of spatial language. She has also worked with ontologies and semantic integration of data from heterogeneous sources, and addresses a range of application areas, including the natural and built environment and disaster management.

Dr Kristin Stock is Director of the Massey Geoinformatics Collaboratory and a Senior Lecturer in Information Technology. She has qualifications in surveying, urban and regional planning, computer science and geoinformatics. She has worked in the government and ran a successful geospatial data consultancy in the UK, and worked at the University of Nottingham, before joining Massey in 2014. 

Kristin is interested in how location is described in natural language (text and spoken), and in developing automated methods to understand and georeferenced complex location descriptions, to extract cultural ecosystem services information from text, as well as cross-linguistic studies of spatial language.

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Professional

Qualifications

  • Graduate Diploma in Surveying Practice - Queensland University of Technology (1996)
  • Graduate Certificate of Computing - Deakin University (1996)
  • Graduate Diploma in Urban and Regional Planning - University of New England (1994)
  • Bachelor of Science - University of Otago (1989)
  • Doctor of Philosophy - Queensland University of Technology (2001)

Certifications and Registrations

  • Licence, Supervisor, Massey University

Research Expertise

Research Interests

Geospatial semantics, ontologies and extraction of geographic knowledge from natural language.

Thematics

Resource Development and Management, Health and Well-being, Future Food Systems

Area of Expertise

Field of research codes
Artificial Intelligence and Image Processing (080100):
Conservation and Biodiversity (050202):
Earth Sciences (040000):
Engineering (090000):
Environmental Science and Management (050200): Environmental Sciences (050000):
Geomatic Engineering (090900): Geospatial Information Systems (090903):
Information And Computing Sciences (080000):
Natural Hazards (040604):
Natural Language Processing (080107):
Physical Geography and Environmental Geoscience (040600)

Keywords

semantics, ontologies, geoinformatics, natural language processing, environment

Research Projects

Summary of Research Projects

Position Current Completed
Project Leader 1 10
Team Member 1 0

Current Projects

Project Title: BioWhere: Developing Methods to Georeference New Zealand's Biota from Text

Date Range: 2021 - 2024

Funding Body: Ministry of Business, Innovation and Employment

Project Team:

Project Title: He Tatai Whenua: A Te Ao Maori landscape classification

Our research will synthesize a Te Ao Maori landscape classification that can be directly integrated with existing geographical information systems (GIS). We will produce the first indigenous peoples, or Maori metric based Landscape Classification for New Zealand. Despite Maori expert elicitation, or interpretation, of landscape features being well recognised, coherent representation and display of this knowledge is significantly underdeveloped. Data of this kind is still treated as anecdotal or qualitative and, as a result, lacks impact in environmental management and decision-making. In stark contrast, the underlying descriptors and datasets used to classify NZ's environment for decision-making are all displayed in advanced GIS systems utilising cutting edge technology (e.g. geology (Qmap), soils (SMap), bio-diversity (Landcover Database/LENZ), and land use/capability (NZ Land Resource Inventory)). Many of the fundamental methods used to create these datasets are based on frameworks and criteria created through quasi-quantitative methods with no inclusion or recognition of matauranga Maori. This will be achieved through three components: 1. Development of Maori landscape classification criteria based on matauranga Maori, tikanga, kaitiakitanga and tohu taiao from leading Maori academics and Iwi partners 2. Generation of the first Maori Landscape Classification GIS (MLC-GIS) and database using new IT, GIS, remote sensing techniques and mathematical methods to visualise landscapes based on the developed criteria 3. Application of the MLC-GIS alongside existing environmental databases in new catchment management strategies Our research will use the Manawatu catchment to develop the protocols required to extend the proposed Maori Landscape Classification GIS to the whole of NZ. Globally this will be the first time such a dataset will be created. Additionally, new geospatial visualisation methods will be developed that will have significant impact.
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Date Range: 2017 - 2022

Funding Body: Ministry of Business, Innovation and Employment

Project Team:

Completed Projects

Project Title: SSIF: Social media / big data to solicit preferences and attitudes

This project will investigate the potential uses of social media to collect data on sense of place and cultural ecosystems services. It will include the following: 1.An extensive review of previous work to document success levels and learnings, definitions and metrics used for different aspects of cultural ecosystem services, potential data sources and activities by statistical agencies. 2.A pilot study to evaluate the use of data from photo sharing sites to determine aesthetic value in NZ. 3.A pilot study to evaluate the scraping of content from online sites to collect sense of place data in NZ.
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Date Range: 2018 - 2019

Funding Body: Landcare Research New Zealand Ltd

Project Team:

Project Title: Developing methods for contextually-aware interpretation of natural language spatial location descriptions - Niloofar Aflaki

The project will develop methods for effective interpretation of natural language spatial location descriptions giving particular attention to the effect of context on that interpretation. For example, a user may be interested in finding 'private property beside the River Welland', or 'the listed building at the corner of the market square'. The meaning of spatial relations are critical to the interpretation of these expressions (e.g. beside, at, on) and in particular, the way sin which context affects their interpretation has been giving limited attention. This project will analyse the role of different levels of context in human interpretation of natural language location descriptions, and develop a model to interpret natural language expressions that incorporate a set of contextual factors using case-based reasoning.
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Date Range: 2017 - 2021

Funding Body: Ordnance Survey Ltd

Project Team:

Research Outputs

Journal

Algiriyage, N., Prasanna, R., Stock, K., Doyle, EEH., & Johnston, D. (2022). Multi-source Multimodal Data and Deep Learning for Disaster Response: A Systematic Review.. SN Comput Sci. 3(1), 92
[Journal article]Authored by: Hudson-Doyle, E., Stock, K.
Marchi Fagundes, CK., Stock, K., & Delazari, LS. (2021). A cross-linguistic study of spatial location descriptions in New Zealand English and Brazilian Portuguese natural language. Transactions in GIS. 25(6), 3159-3187
[Journal article]Authored by: Stock, K.
Tan, ML., Prasanna, R., Stock, K., Doyle, EEH., Leonard, G., & Johnston, D. (2020). Usability factors influencing the continuance intention of disaster apps: A mixed-methods study. International Journal of Disaster Risk Reduction. 50
[Journal article]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Tan, ML., Prasanna, R., Stock, K., Doyle, EEH., Leonard, G., & Johnston, D. (2020). Understanding end-users’ perspectives: Towards developing usability guidelines for disaster apps. Progress in Disaster Science. 7, Retrieved from https://www.sciencedirect.com/science/article/pii/S2590061720300557/
[Journal article]Authored by: Johnston, D., Stock, K., Tan, M.
Tan, ML., Prasanna, R., Stock, K., Doyle, EEH., Leonard, G., & Johnston, D. (2020). Understanding end-users' perspectives: Towards developing usability guidelines for disaster apps. Progress in Disaster Science. 7
[Journal article]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Tan, ML., Prasanna, R., Stock, K., Doyle, EEH., Leonard, G., & Johnston, D. (2020). Modified Usability Framework for Disaster Apps: A Qualitative Thematic Analysis of User Reviews. International Journal of Disaster Risk Science. 11(5), 615-629
[Journal article]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Stock, K. (2018). Mining location from social media: A systematic review. Computers, Environment and Urban Systems. 71, 209-240
[Journal article]Authored by: Stock, K.
Stock, K., & Yousaf, J. (2018). Context-aware automated interpretation of elaborate natural language descriptions of location through learning from empirical data. International Journal of Geographical Information Science. 32(6), 1087-1116
[Journal article]Authored by: Stock, K.
de Almeida Pereira, GH., Stock, K., Stamato Delazari, L., & Centeno, JAS. (2017). Augmented Reality and Maps: New Possibilities for Engaging with Geographic Data. Cartographic Journal. 54(4), 313-321
[Journal article]Authored by: Stock, K.
Tan, ML., Prasanna, R., Stock, K., Hudson-Doyle, E., Leonard, G., & Johnston, D. (2017). Mobile applications in crisis informatics literature: A systematic review. International Journal of Disaster Risk Reduction. 24, 297-311
[Journal article]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Stock, K., Leibovici, D., Delazari, L., & Santos, R. (2015). Discovering Order in Chaos: Using a Heuristic Ontology to Derive Spatio-Temporal Sequences for Cadastral Data. Spatial Cognition and Computation. 15(2), 115-141
[Journal article]Authored by: Stock, K.
Stock, K., Karasova, V., Robertson, A., Roger, G., Small, M., Bishr, M., . . . Gardner, Z. (2013). Finding science with science: Evaluating a domain and scientific ontology user interface for the discovery of scientific resources. Transactions in GIS. 17(4), 612-639
[Journal article]Authored by: Stock, K.
Cialone, C., Stock, KM., Medved-Cvikl, B., & Ceglar, A. (2012). Multilingual knowledge systems and euroGEOSS: GEOSS societal benefit areas translations for Italian, Spanish, French and Slovenian. International Journal of Spatial Data Infrastructures Research. 7, 411-440
[Journal article]Authored by: Stock, K.
Stock, K., Stojanovic, T., Reitsma, F., Ou, Y., Bishr, M., Ortmann, J., . . . Robertson, A. (2012). To ontologise or not to ontologise: An information model for a geospatial knowledge infrastructure. Computers and Geosciences. 45, 98-108
[Journal article]Authored by: Stock, K.
Stock, KM., Butchart, B., Higgins, C., & Chen, Y. (2010). From Here to Eternity: An Experiment Applying the e-Framework Infrastructure for Education and Research and the SUMO Ontology to Standards-based Geospatial Web Services. International Journal of Spatial Data Infrastructure Research. 5, 1-57
[Journal article]Authored by: Stock, K.
Stock, KM., Atkinson, R., Higgins, C., Small, M., Woolf, A., Millard, K., . . . Arctur, D. (2010). A semantic registry using a Feature Type Catalogue instead of ontologies to support spatial data infrastructures. International Journal of Geographical Information Science. 24(2), 231-252
[Journal article]Authored by: Stock, K.
Stock, KM. (2009). Review of 'Creating Spatial Information Infrastructures: Towards the Spatial Semantic Web'.. Photogrammetric Engineering and Remote Sensing.
[Book Review]Authored by: Stock, K.
Stock, K. (2008). Determining semantic similarity of behaviour using natural semantic metalanguage to match user objectives to available web services. Transactions in GIS. 12(6), 733-755
[Journal article]Authored by: Stock, K.
Millard, K., Woolf, A., Stock, KM., Longhorn, R., Higgins, C., Small, M., . . . Ferierra, M. (2007). Developing Feature Types and Related Catalogues for the Marine Community – Lessons from the MOTIIVE Project.. International Journal of Spatial Data Infrastructure Research. 2, 132-162
[Journal article]Authored by: Stock, K.
Stock, KM. (2006). Spatio-temporal data management using object lifecycles: A case study of the australian capital territory spatial data management system. Journal of Spatial Science. 51(1), 43-58
[Journal article]Authored by: Stock, K.
Stock, KM., Taylor, R., & Hannigan, BJ. (1998). The Examination of an Alternative Method for Reinstatement in Rural Areas.. The Australian Surveyor. 43(4), 253-260
[Journal article]Authored by: Stock, K.
Stock, KM. (1998). Accuracy requirements for rural land parcel boundaries. Australian Surveyor. 43(3), 165-171
[Journal article]Authored by: Stock, K.

Book

Stock, K., & Guesgen, H. (2016). Geospatial Reasoning With Open Data. In Automating Open Source Intelligence: Algorithms for OSINT. (pp. 171 - 204).
[Chapter]Authored by: Guesgen, H., Stock, K.
Stock, KM., Hobona, G., Granell, C., & Jackson, M. (2011). Ontology-Based Geospatial Approaches for Semantic Awareness in Earth Observation Systems. In N. Ashish, & A. Sheth (Eds.) Geospatial Semantics and the Semantic Web: Foundations, Algorithms and Applications.
[Chapter]Authored by: Stock, K.
Stock, KM. (2010). Spatial Data Structures. In Encyclopedia of Geography. : Sage Publications
[Chapter]Authored by: Stock, K.
Pullar, D., & Stock, KM. (1999). Geospatial Modelling: A Case Study for a Statewide Land Information Strategy. In M. Goodchild, M. Egenhofer, R. Fegeas, & C. Kottman (Eds.) Interoperating Geographic Information Systems. : Kluwer
[Chapter]Authored by: Stock, K.

Conference

Algiriyage, N., Doyle, EEH., Johnston, D., Prasanna, R., Stock, K., Punchihewa, M., . . . Jayawardhana, S.Towards real-time traffic flow estimation using YOLO and SORT from surveillance video footage. Proceedings of the International ISCRAM Conference. (pp. 40 - 48).
[Conference]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K.
Algiriyage, N., Prasanna, R., Stock, K., Sampath, R., Doyle, EEH., & Johnston, D.Identifying disaster-related tweets: A large-scale detection model comparison. Proceedings of the International ISCRAM Conference. (pp. 731 - 743).
[Conference]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K.
Scott, J., Stock, K., Morgan, F., Whitehead, B., & Medyckyj-Scott, D.Automated georeferencing of antarctic species. Leibniz International Proceedings in Informatics, LIPIcs. (pp. VII). 1868-8969.
[Conference]Authored by: Stock, K.
Tan, M., Prasanna, R., Becker, J., Brown, A., Kenney, C., Lambie, E., . . . De Alwis, D.Outlook for earthquake early warning for Aotearoa New Zealand: Insights from initiating a community-of-practice. . Christchurch
[Conference Paper]Authored by: Becker, J., Brown, A., Johnston, D., Kenney, C., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Algiriyage, N., Prasanna, R., Doyle, EEH., Stock, K., & Johnston, D. (2020). Traffic flow estimation based on deep learning for emergency traffic management using CCTV images. Proceedings of the International ISCRAM Conference. Vol. 2020-May (pp. 100 - 109).
[Conference Paper in Published Proceedings]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K.
Stock, K., Morris, H., Forster, M., Paraku, R., & Egorova, E. (2019). He Tatai Whenua: An Exploratory Analysis of Landscape Terms in the New Zealand Maori Language. Poster session presented at the meeting of Conference on Spatial Information Theory: COSIT 2019
[Conference Poster]Authored by: Forster, M., Stock, K.
Stock, K., Jones, CB., & Tenbrink, T. (2019). Speaking of Location: Communicating about Space with Geospatial Natural Language. Workshop on Speaking of Location 2019: Communicating about Space.
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Izadi, A., Hahmann, T., Guesgen, H., & Stock, K. (2019). Towards the modification of RCC*-9. Geocomputation 2019.
[Conference Paper in Published Proceedings]Authored by: Guesgen, H., Stock, K.
Aflaki, N., Jones, CB., & Stock, K. (2019). Mining the Semantic Similarity of Spatial Relations from Text. Geocomputation 2019.
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Stock, K., Morris, H., Forster, M., Paraku, R., & Egorova, E. (2019). He Tatai Whenua: Automated Extraction of Landscape Terms and their Meanings in New Zealand Maori. GeoComputation 2019.
[Conference Paper in Published Proceedings]Authored by: Forster, M., Stock, K.
Izadi, A., Hahmann, T., Guesgen, H., & Stock, K.A multidimensional mereotopological theory. . Macao
[Conference Paper]Authored by: Guesgen, H., Stock, K.
Tan, ML., Prasanna, R., Stock, K., Hudson-Doyle, E., Leonard, G., & Johnston, D.Enhancing the usability of a disaster app: Exploring the perspectives of the public as users. Proceedings of the International ISCRAM Conference. (pp. 876 - 886).
[Conference]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Stock, K., Jones, CB., & Tenbrink, T.Preface. CEUR Workshop Proceedings. (pp. 1 - 2). 1613-0073.
[Conference]Authored by: Stock, K.
Stock, K., Jones, CB., & Tenbrink, T.Speaking of location: Communicating about space with geospatial natural language. CEUR Workshop Proceedings. (pp. 1 - 7). 1613-0073.
[Conference]Authored by: Stock, K.
Egorova, E., Aflaki, N., Marchis Fagundes, CK., & Stock, K.Cross-corpora analysis of spatial language: The case of fictive motion. Leibniz International Proceedings in Informatics, LIPIcs. 1868-8969.
[Conference]Authored by: Stock, K.
Radke, M., Das, P., Stock, K., & Jones, CB.Detecting the geospatialness of prepositions from natural language text. Leibniz International Proceedings in Informatics, LIPIcs. 1868-8969.
[Conference]Authored by: Stock, K.
Tan, M., Prasanna, R., Stock, K., Hudson-Doyle, E., Leonard, G., & Johnston, D. (2018). Usability Factors Affecting the Continuance Intention of Disaster Apps. ISCRAM Asia Pacific 2018: Innovating for Resilience.
[Conference Paper in Published Proceedings]Authored by: Hudson-Doyle, E., Johnston, D., Stock, K., Tan, M.
Stock, K., & bunker, D.(2018, November). Proceedings of the Information Systems for Crisis Response and Management Asia Pacific 2018 Conference: Innovating for Resilience.. Proceedings of the Information Systems for Crisis Response and Management Asia Pacific 2018 Conference: Innovating for Resilience..
[Conference]Authored by: Stock, K.Edited by: Stock, K.
Aflaki, N., Russell, S., & Stock, K.Challenges in creating an annotated set of geospatial natural language descriptions. Leibniz International Proceedings in Informatics, LIPIcs. 1868-8969.
[Conference]Authored by: Stock, K.
Stock, K., Jones, CB., & Vasardani, M. (2018). Speaking of location: Future directions in geospatial natural language research—introduction. Lecture Notes in Geoinformation and Cartography. (pp. 193 - 194).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Stock, K., & Hall, M. (2018). The role of context in the interpretation of natural language location descriptions. Lecture Notes in Geoinformation and Cartography. Vol. 0 (pp. 245 - 254).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Delazari, L., Stock, KM., & Schmidt, M.Projecto “Where Am I?”. . Parana, Brazil
[Conference Paper]Authored by: Stock, K.
Stock, K., & Delazari, L.(2016). Where am I? the challenges of interpretation of natural language descriptions of geographical location. Paper presented at the meeting of Proceedings of 2016 SAI Computing Conference, SAI 2016
[Conference Paper]Authored by: Stock, K.
Tan, M., Prasanna, R., Hudson-Doyle, E., Stock, KM., Leonard, G., & Johnston, D. (2016). A review: Crisis informatics and mobile applications in building resilience. In N. Domingo, & S. Wilkinson (Eds.) Proceedings of the 6th International Conference on Building Resilience. (pp. 504 - 516). : 6th International Conference on Building Resilience
[Conference Paper in Published Proceedings]Authored by: Hudson-Doyle, E., Johnston, D., Rahubadde Kankanamge, R., Stock, K.
Stock, KM. (2015). Identifying patterns in geospatial natural language. Poster session presented at the meeting of Conference on Spatial Information Theory. Santa Fe, New Mexico, United States of America
[Conference Poster]Authored by: Stock, K.
Bojian, B., & Stock, KM. (2015). Comparison of Semantic Similarity Measuring Methods for Geographic Features.. Poster session presented at the meeting of New Zealand Geospatial Research Conference
[Conference Poster]Authored by: Stock, K.
Stock, KM., & Delazari, L. (2015, October). Where am I? Onde Estou? Automated interpretation of human language descriptions of current location. Presented at Workshop on Cognitive Engineering for Spatial Information Processes, Conference on Spatial Information Theory. Santa Fe, New Mexico.
[Conference Oral Presentation]Authored by: Stock, K.
Stock, KM. (2014). NaturalGeo: Automated Methods for Interpreting Geospatial Natural Language. Poster session presented at the meeting of Ordnance Survey Research Showcase
[Conference Poster]Authored by: Stock, K.
Stock, KM.(2014). A geometric configuration ontology to support spatial querying. Paper presented at the meeting of AGILE 2014. Castellon, Spain
[Conference Paper]Authored by: Stock, K.
Traverso, S., Cerutti, V., Stock, K., & Jackson, M. (2014). EDIT: A methodology for the treatment of non-authoritative data in the reconstruction of disaster scenarios. Lecture Notes in Business Information Processing. Vol. 196 (pp. 32 - 45).
[Conference Paper in Published Proceedings]Authored by: Stock, K.Contributed to by: Stock, K.
Stock, KM., & Leibovici, D.(2013). Discovering order in chaos by deriving spatio-temporal data on the fly. . Scarborough, United Kingdom
[Conference Paper]Authored by: Stock, K.
Stock, K., Pasley, RC., Gardner, Z., Brindley, P., Morley, J., & Cialone, C. (2013). Creating a corpus of geospatial natural language. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8116 LNCS (pp. 279 - 298).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Du, H., Alechina, N., Stock, K., & Jackson, M. (2013). The logic of NEAR and FAR. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 8116 LNCS (pp. 475 - 494).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Nativi, S., Vaccari, L., Stock, KM., Diaz, L., & Santoro, M. (2012, April). The EuroGEOSS Advanced Operating Capacity. Presented at EGU General Assembly 2012. Vienna, Austria.
[Conference Oral Presentation]Authored by: Stock, K.
Stock, KM. (2012). Geospatial behavioural semantics: A natural language approach. International Geoscience and Remote Sensing Symposium (IGARSS). (pp. 2906 - 2909).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Stock, K., & Cialone, C. (2011). Universality, language-variability and individuality: Defining linguistic building blocks for spatial relations. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6899 LNCS (pp. 391 - 412).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Stock, K., & Cialone, C. (2011). An approach to the management of multiple aligned multilingual ontologies for a geospatial earth observation system. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 6631 LNCS (pp. 52 - 69).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Leibovici, D., Hobona, G., Stock, K., & Jackson, M. (2009). Qualifying geospatial workflow models for adaptive controlled validity and accuracy. 2009 17th International Conference on Geoinformatics, Geoinformatics 2009.
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Stock, K., Robertson, A., Reitsma, F., Stojanovic, T., Bishr, M., Medyckyj-Scott, D., . . . Ortmann, J. (2009). eScience for sea science: A semantic scientific knowledge infrastructure for marine scientists. e-Science 2009 - 5th IEEE International Conference on e-Science. (pp. 110 - 117).
[Conference Paper in Published Proceedings]Authored by: Stock, K.
Stock, K., & Pullar, D. (1999). Identifying semantically similar elements in heterogeneous spatial databases using predicate logic expressions. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol. 1580 (pp. 231 - 251).
[Conference Paper in Published Proceedings]Authored by: Stock, K.

Other

Brown, A., Parkin, T., Tan, ML., Rahubadde Kankanamge, R., Becker, J., Stock, K., . . . Lambie, E. (2021). An earthquake early warning for Aotearoa New Zealand?.
[Internet publication]Authored by: Becker, J., Parkin, T., Rahubadde Kankanamge, R., Stock, K., Tan, M.
Stock, KM. (2009). OWL Application Profile for CSW 2.0. Open Geospatial Consortium Application Profile 09-010..
[Other]Authored by: Stock, K.
Stock, KM. (2008). INSPIRE Data Product Specification Protected Sites..
[Other]Authored by: Stock, K.
Stock, KM. (2007). Feature Type Catalogue Extension Package for ebRIM (ISO/TC 15000-3) Profile of CSW 2.0. Open Geospatial Consortium Application Profile 07-172..
[Other]Authored by: Stock, K.

Teaching and Supervision

Courses Coordinated

  • 158.383 Information Technology Project
  • 158.740 Location Systems: Spatial Databases, Tools and Applications
  • 158.741 Location Data: Mapping, Analysis and Visualisation

Summary of Doctoral Supervision

Position Current Completed
Main Supervisor 1 1
Co-supervisor 1 2

Current Doctoral Supervision

Main Supervisor of:

  • Niloofar Aflaki - Doctor of Philosophy
    Context-sensitive interpretation of natural language location descriptions

Co-supervisor of:

  • Nilani Hewa Algiriyage - Doctor of Philosophy
    Cross Domain Data Fusion and Analytics of Social Media in Disaster Management

Completed Doctoral Supervision

Main Supervisor of:

  • 2021 - Azadeh Izadi - Doctor of Philosophy
    Modelling of Mereotopological Relationships In Multidimensional Space

Co-supervisor of:

  • 2021 - Yasir Imtiaz Syed - Doctor of Philosophy
    Development of a Decision Support System through Modelling of Critical Infrastructure Interdependencies
  • 2020 - Marion Lara Tan - Doctor of Philosophy
    Usability of disaster apps: Understanding the perspectives of the public as end-users

Media and Links

Other Links