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Introduction for Gary Berg-Cross Knowledge Strategies gbergcross@gmail.com Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist PreAmble.. Im a Cognitive


  1. Introduction for Gary Berg-Cross Knowledge Strategies gbergcross@gmail.com Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  2. PreAmble….. • I’m a Cognitive Psychologist, interested in the role of comprehension, how knowledge is acquired and used. • I’ve worked in AI, intelligent system design & knowledge engineering. – One of the fundamental problems is the challenge of handling better formalization of semantics and pragmatics while simultaneously being more faithful to natural systems and systems of thought. • My current project involves helping geo-scientist communities collaborate to share information, integrate knowledge and solve common problems. Natural Systems Formal Theory Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  3. Current Work on NSF INTEROP Grant Spatial Ontology Community of Practice (SOCoP see socop.org) an Interdisciplinary Network to Support Geospatial Data Sharing, Integration, and Interoperability • Geospatial data are needed for many types of applications such as the geoWeb along with emerging interdisciplinary areas that require collaboration. • But re-using this data is difficult due in part to semantic heterogeneity resulting from different community views. • We work on ontology products & semantic technologies to help with semantic interoperability. Events Various knowledge sources: H uman world (commonsense) robot world ( programmed, emergent) GeoSPARQL Spatial Geometry Geo-knowledge (GML, other Relations standards) Spatial domain (spatial calculi, ontologies) Feature Classified geospatial data sets: GeoSciences Types biology, geology, soil, forestry, Disciplines (geography, earth Agricultural, etc. science etc.) Language (linguistics) Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  4. Geospatial information is an important kind – Geometry (Precise), Features, Maps, Categories, Imprecise GeoScience Models Real & Human Boundary Boxes Realm Objects For Natural Regions Space A polygonal area. <meta name="DC.coverage.spatial.region" content="1 1, 4 2, 5 4, 3 6, 2 3, 1 1"> Some precise math used for the geometry/shape of “features” Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  5. Classification Example - Traditional land cover taxonomy (Source - Ola Ahlqvist OSU) • Easily translated to an ontology description language as class- subclass relations and class specific properties • But no agreement on a unified taxonomy –categories change to accommodate agricultural themes, climate change etc. – CORINE & GlobCover &MODIS/IGBP • Not even our USGS system could stay the same from one time to the other – National Land Cover Data (NLCD) used slightly different classes in 1992 and 2001 • Note: SSoil classifications have similar issues – http://www.itc.nl/~rossiter/research/rsrch_ss_class.html Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  6. National Land Cover Data (NLCD) 92-01 PA change example 11 Open Water 21 Developed, Open Space ? 22 Developed, Low Intensity 23 Developed, Medium Intensity ? Different classification systems 24 Developed, High Intensity 31 Barren Land (Rock/Sand/Clay) create problems! 41 Deciduous Forest Ahlqvist, O., 2008, Extending post 42 Evergreen Forest 43 Mixed Forest classification change detection using 81 Pasture/Hay semantic similarity metrics to 82 Cultivated Crops overcome class heterogeneity: a 90 Woody Wetlands study of 1992 and 2001 National 95 Emergent Herbaceous Wetlands land Cover Database changes, Remote Sensing of Environment, 112(3):1226-1241 Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  7. 16 Zimbabwe Same 14 issues around 12 global Sudan Tree height (m) 10 definitions Turkey Tanzania of “forest” 8 6 United UNESCO States China 4 Jamaica 2 Estonia 0 0 20 40 60 80 100 Canopy cover (%) Adds Life forms, leaf phenology, water cycle Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  8. Dr. Tawan Banchuen School of Environment University of Auckland Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  9. Understanding is Complicated: Geo-Social-Temporal Semantics of Potholes • To understand a Domain we start with general usage of terms within the domain • Area feature - A geographic entity that encloses a region; for example, a landscape, lake, administrative area, or state. – Geographic entity - A real-world feature that is of interest; something about which data is stored. – 65 feature classes listed in USGS Gazetteer Feature Classes But consider some physical definitions: • Potholes are defined variously as cracks (at least in the UK) – of more than 30mm depth [North East Somerset, UK] – with a width of a ’large dinner plate’ (300mm) and the depth of – a ’golf ball’ (40mm) [Gloucestershire, UK] – with a width of a ’dinner plate’ (200mm) and a minimum depth of – a ’fist’ (40mm) [Worcestershire, UK] – depth of ’a pound coin and a 1p coin side by side’ [Coventry] • These impact other domains. • Due to a severe winter (Time) millions of potholes need to be repaired by the local councils (Social aspect) that are legally responsible for the roads maintenance ) within their administrative boundaries (also Social) . After KRZYSZTOF JANOWICZ (PSU/SB) Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  10. Ontology Defined Pothole? Bigger than… We need Ontology Engineering practices as well as an Ontology Language to produce quality ontologies. OWL Ontology Defs don’t always fit Intended Conceptualization - Krzysztof Janowicz Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  11. Two Part Process to Create a Quality Ontology Bottle on Pragmatic Table. Conceptualization Interaction validation Flower in C starts to model Possible Vase (part of) the world Models in “in” is various “invariant” Abstraction Languages World Situations Bottle on Table Intuition expressed in semantics Models defines relationship between L syntax and Intended interpretations Model Fitting C Our Approximates Ontology Ontology Models for Product Adapted liberally from Guarino’s 1998 D (C for D with Formal Ontology in Information Systems Commitments K in Ontology L) (LOA group, Rome) Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  12. Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  13. Backup Slides Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  14. Collaboration Competence Questions (CQ) about Collaboration Sessions (CS) 1. - What are the artifacts of a CS? 2. - Who are the participants of a CS? 3. - What are the objectives of a CS? 4. - When and where a CS happens? 5. - What are the rules of a CS? 6. - What kind of artifact a CS generates? 7. - What kind of participants a CS has? 8. - How the collaborations artifacts are generated? 9. - Who are the participants of a communication action? 10. - What is the protocol of a communication action? 11. - What is the language used to exchange messages among agents? 12. - What is the context of a communication action? 13. What is the media used on a communication action? From Towards a Collaboration Ontology by Felipe F. Oliveira, Julio C. P. Antunes,, Renata Guizzardi, www.inf.ufes.br/~ffrechiani/files/ collaborationontology .pdf Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  15. 4. A CS has one or Start of a Collaboration Ontology more objectives, defining its main purpose or goal with priorities.. 1. A collaboration 4 1 session (CS) is an event composed of the actions of its participants. 2 2. A participation 3. is performed by a participant which can have 1 or more participations. 3. These actions are instantaneous events (atomic event) and they are named here participations (e.g., the action of sending or receiving a message). Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

  16. In Context View - Models are Approximate From “Theories, Models, Reasoning, Language, and Truth” by John F. Sowa. See also Gary Berg-Cross.” A Pragmatic Approach to Discussing Intelligence in Systems”, PerMIS 2004 and my discussion of Scruffy Vs. Neat Approaches & Models in “Information Assimilation and Indexed Knowledge” presented at NIH’s BCIG 2002 Workshop on Science Metrics, Classifications, & Mapping Standards Aug. 11-12, 2011. Gary Berg-Cross, Cognitive Psychologist

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