Water features and their parts

Water features such as rivers, clouds, and aquifers are primarily understood from sensor measurements. Ontologies for the hydro domain play a key role in describing sensor measurements, particularly to aid water data interoperability, but water features are under-represented in such ontologies. In this paper we build upon existing work in hydro ontologies to enhance the characterization and representation of water features. An enhanced theory of physical object parthood is developed that enables water features to be characterized as wholes with various essential parts, building on Fine’s theory of parts and Hayes’ ontology of liquids. The results are represented as a formal extension of the DOLCE ontology, and advance the HyFO reference ontology for the hydro domain.

[1]  Simon J. D. Cox,et al.  Ontology for observations and sampling features, with alignments to existing models , 2016, Semantic Web.

[2]  Antony Galton,et al.  On generically dependent entities , 2014, Appl. Ontology.

[3]  Laure Vieu,et al.  On the transitivity of functional parthood , 2006, Appl. Ontology.

[4]  Simone Pribbenow,et al.  Meronymic Relationships: From Classical Mereology to Complex Part-Whole Relations , 2002 .

[5]  Robert G. Raskin,et al.  Knowledge representation in the semantic web for Earth and environmental terminology (SWEET) , 2005, Comput. Geosci..

[6]  Alan L. Rector,et al.  Granularity, scale and collectivity: When size does and does not matter , 2006, J. Biomed. Informatics.

[7]  Krzysztof Janowicz,et al.  Microtheories for Spatial Data Infrastructures - Accounting for Diversity of Local Conceptualizations at a Global Level , 2010, GIScience.

[8]  Patrick J. Hayes,et al.  Naive physics I: ontology for liquids , 1989 .

[9]  Amit P. Sheth,et al.  The SSN ontology of the W3C semantic sensor network incubator group , 2012, J. Web Semant..

[10]  R. E. Sieber,et al.  Toward an inclusive semantic interoperability: the case of Cree hydrographic features , 2013, Int. J. Geogr. Inf. Sci..

[11]  Chris Mungall,et al.  The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation , 2016, Journal of Biomedical Semantics.

[12]  Shirly Stephen.  Ontological Analysis and Formal Grounding of the Groundwater Markup Language (GWML2) with the Hydro Foundational Ontology (HYFO) , 2016 .

[13]  Torsten Hahmann,et al.  An Ontological Framework for Characterizing Hydrological Flow Processes , 2017, COSIT.

[14]  David M. Mark,et al.  An Ontology Design Pattern for Surface Water Features , 2014, GIScience.

[15]  Torsten Hahmann,et al.  Kinds of Full Physical Containment , 2013, COSIT.

[16]  David R. Maidment,et al.  Arc Hydro Groundwater: GIS for Hydrogeology , 2011 .

[17]  Stefan Schulz,et al.  Grains, components and mixtures in biomedical ontologies , 2011, J. Biomed. Semant..

[18]  Nicola Guarino,et al.  WonderWeb Deliverable D18 Ontology Library , 2003 .

[19]  Giancarlo Guizzardi,et al.  On the Representation of Quantities and their Parts in Conceptual Modeling , 2010, FOIS.

[20]  Torsten Hahmann,et al.  Using a hydro-reference ontology to provide improved computer-interpretable semantics for the groundwater markup language (GWML2) , 2018, Int. J. Geogr. Inf. Sci..

[21]  Ajay Tripathi,et al.  Developing a modular hydrogeology ontology by extending the SWEET upper-level ontologies , 2008, Comput. Geosci..

[22]  Antony Galton,et al.  The water falls but the waterfall does not fall: New perspectives on objects, processes and events , 2009, Appl. Ontology.

[23]  Torsten Hahmann,et al.  Toward A Foundational Hydro Ontology For Water Data Interoperability , 2014 .

[24]  Werner Kuhn.  A Functional Ontology of Observation and Measurement , 2009, GeoS.

[25]  Torsten Hahmann,et al.  On Decomposition Operations in a Theory of Multidimensional Qualitative Space , 2018, FOIS.

[26]  Sylvain Grellet,et al.  Enabling global exchange of groundwater data: GroundWaterML2 (GWML2) , 2018, Hydrogeology Journal.

[27]  Kit Fine,et al.  Things and Their Parts , 1999 .

[28]  Torsten Hahmann,et al.  Region-Based Theories of Space: Mereotopology and Beyond , 2012 .

[29]  Douglas Herrmann,et al.  A Taxonomy of Part-Whole Relations , 1987, Cogn. Sci..

[30]  Achille C. Varzi,et al.  Holes and Other Superficialities , 1994 .

[31]  T. Hahmann.  A Reconciliation of Logical Representations of Space: from Multidimensional Mereotopology to Geometry , 2013 .

[32]  Torsten Hahmann,et al.  Semantically Refining the Groundwater Markup Language (GWML2) with the Help of a Reference Ontology , 2016 .

[33]  Boyan Brodaric,et al.  GroundWater Markup Language (GWML) - enabling groundwater data interoperability in spatial data infrastructures , 2012 .

[34]  Giancarlo Guizzardi,et al.  Modal Aspects of Object Types and Part-Whole Relations and the de re/de dicto Distinction , 2007, CAiSE.

[35]  Michael Piasecki,et al.  Editorial: Water data networks: foundations, technologies and systems, implementations, and uses , 2016 .

[36]  Da Wei R Mei De Men Te,et al.  Arc Hydro GIS for Water Resources , 2013 .

[37]  E. Lynn Usery,et al.  An Applied Ontology for Semantics Associated with Surface Water Features , 2018, Land Use and Land Cover Semantics.

[38]  Torsten Hahmann,et al.  Voids and material constitution across physical granularities , 2014, FOIS.

[39]  Simone Pribbenow,et al.  Midwinters, end games, and body parts: a classification of part-whole relations , 1995, Int. J. Hum. Comput. Stud..

[40]  A. Galton.  Experience and History: Processes and their Relation to Events , 2008, J. Log. Comput..

[41]  Steffen Fritz,et al.  Land Use and Land Cover Semantics: Principles, Best Practices, and Prospects , 2015 .

[42]  P. Simons.  Parts: A Study in Ontology , 1991 .

[43]  Torsten Hahmann,et al.  Interdependence among material objects and voids , 2014, FOIS.

[44]  Torsten Hahmann,et al.  The Void in Hydro Ontology , 2012, FOIS.

[45]  Chen-Chieh Feng,et al.  Modeling Surface Hydrology Concepts with Endurance and Perdurance , 2004, GIScience.

[46]  David M. Mark,et al.  Progress on Yindjibarndi Ethnophysiography , 2007, COSIT.

[47]  Stefano Borgo,et al.  What are features? An ontology-based review of the literature , 2016, Comput. Aided Des..

[48]  Paulo E. Santos,et al.  Supervaluation Semantics for an Inland Water Feature Ontology , 2005, IJCAI.