GeoAI and Deep Learning Symposium: Geospatial and Spatiotemporal Ontology and Semantics II

Type: Paper
Theme:
Sponsor Groups: Cyberinfrastructure Specialty Group, Geographic Information Science and Systems Specialty Group
Poster #:
Day: 4/4/2019
Start / End Time: 9:55 AM / 11:35 AM
Room: Capitol Room, Omni, East
Organizers: Alexandre Sorokine, Chen-Chieh Feng, Jeon-Young Kang
Chairs: Alexandre Sorokine

Call for Submissions

We are soliciting presentations on both theoretical and applied aspects of geospatial and spatiotemporal ontologies for the special sessions at the 2019 American Association of Geographers Annual Meeting. Next year the series in its 15th year will be a part of the 2nd GeoAI and Deep Learning Symposium. We invite presentations focusing on one or more of the following (or other related) areas of ontology research:

- Spatial and spatiotemporal knowledge modeling, analysis, formalization, and validation (thesauri, vocabularies, and ontologies)
- Emerging technologies and methods (artificial intelligence, deep learning, natural language processing) to support spatiotemporal reasoning, ontology matching, and alignment
- Mutual benefits between GeoAI and Deep Learning, and geospatial/spatiotemporal ontology
- Information retrieval with knowledge graphs and deep learning models
- Data fusion and semantic interoperability across domains, cultures, ethnicities, languages, and time, spatiotemporal models
- Semantic annotation methods, provenance, and standards for spatial knowledge representation and processing (e.g. OWL, RDF, RDFS, JSON-LD, GeoJSON)

To present a paper or to participate in the session as a discussant, submit your abstract through AAG web site and email your Participant Identification Number (PIN) to Alex Sorokine (SorokinA@ornl.gov). Please follow standard AAG abstract submission procedure and guidelines. If you have any questions please forward them to one of the organizers.


Description

Capturing and representing geospatial and spatiotemporal dimensions of geographic knowledge is a great challenge from both theoretical and applied perspectives. Nowadays formalized geospatial knowledge representations and reasoning in the form of ontologies and knowledge graphs powers search engines, discovery of geodata, and understanding of the crowdsourced information. New technologies like deep learning and advanced natural language processing open new possibilities for practical applications and research in this area.

This special session is in its 15th year and in 2019 is a part of the 2nd GeoAI and Deep Learning Symposium. This year the presentations will be focused on the following topics:

- Spatial and spatiotemporal knowledge modeling, analysis, formalization, and validation (thesauri, vocabularies, and ontologies)
- Emerging technologies and methods (artificial intelligence, deep learning, natural language processing) to support spatiotemporal reasoning, ontology matching, and alignment
- Mutual benefits between GeoAI and Deep Learning, and geospatial/spatiotemporal ontology
- Information retrieval with knowledge graphs and deep learning models
- Data fusion and semantic interoperability across domains, cultures, ethnicities, languages, and time, spatiotemporal models
- Impacts of new semantic technologies


Agenda

Type Details Minutes Start Time
Presenter Gaurav Sinha*, Ohio University, Samantha Arundel, Center of Excellence in Geographic Information Science - U.S. Geological Survey, Isabel Gregorek, Ohio University, Christian Slee, Ohio University, David Mark, University at Buffalo, SUNY, Geomorphometric and toponymic analysis of GNIS terrain feature classes 20 9:55 AM
Presenter Peng Liang*, State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, CAS, Cheng-Zhi Qin, Institute of Geographic Sciences & Natural Resources Research, CAS, A-Xing Zhu, University of Wisconsin-Madison, A case-based approach to automatic selecting covariates for digital soil mapping 20 10:15 AM
Presenter Rachel Palumbo*, , Laura Thompson, Oak Ridge National Laboratory, Gautam Thakur, Oak Ridge National Laboratory, Wrangling Points of Interest: Managing VGI Data Heterogeneity with an Ontological Semantic Network for Land Use Mapping and Population Modeling 20 10:35 AM
Presenter Mikael Brunila*, McGill University, Word2Vec, Vec2Capital – How Airbnb Uses Neural Networks To Make Markets 20 10:55 AM
Discussant Chen-Chieh Feng Geography, National University of Singapore 20 11:15 AM

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