Authors: Jochen Albrecht*, Hunter College CUNY, Barbara Hofer, Department of Geoinformatics - Z_GIS, University of Salzburg, Eva-Maria Missoni-Steinbacher, Department of Geoinformatics - Z_GIS, University of Salzburg, Rob Lemmens, ITC, University of Twente
Topics: Cyberinfrastructure, Geographic Information Science and Systems, Spatial Analysis & Modeling
Keywords: body of knowledge, tasks, workflows, business process models, semantic model, text mining
Session Type: Paper
Start / End Time: 5:35 PM / 6:50 PM
Room: Plaza Court 3, Sheraton, Concourse Level
Presentation File: No File Uploaded
Modern GIS curricula rely on the concepts enshrined in the bodies of knowledge compiled by NCGIA, UCGIS and AGILE. All of these are based on theories that are removed from how GIS&T is used in practice. An EU-funded project (EO4GEO) aims to identify typical workflows in Earth Observation (EO) and GIS businesses with the goal to create task-oriented curricula that better match future needs of businesses, agencies, and the nonprofit sector. Workflows are derived from business process models contributed by corporate project partners as well as through the analysis of workflows described in some 30,000 refereed publications. This presentation reports on that analysis, which uses text mining techniques to identify verbs that, following Bloom's taxonomy, represent typical GIS actions. It turns out that the GIS community does not have a vocabulary that is distinctively different from plain English. As a result, we had to develop semantic models of larger task-oriented building blocks. The key to that is the identification of the contexts (including scale) within which every task is applicable. The multiplicity of granularities of each task is an initially vexing problem; however, it turns out that it mirrors the requirements of a diverse body of syllabi that form the reality of GIS&T instruction.