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Knowledge-Based Approach to Planning: A Case Study-Based Approach

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Abstract

Planning is an anticipatory decision-making process that involves either a risk mitigation or resource allocation problem. Policy developers and enablers are required to interact with resource providers such as civil engineers and water resource engineers and consumers such as agriculturists and farmers in different projects. Such projects can benefit from a knowledge-based approach that uses ideas used in past and other projects based on a hierarchy of concepts and established facts. Domain knowledge extracted from artifacts such as planning documents and data models used in previous projects thus provide useful ontological structures for information sharing and foster evolution of a scientific process in developmental planning . In this paper, we review some knowledge-based paradigms used in spatial planning , identify gaps and redundancies in the current practices, and propose the development of a tool to aid the development and use of ontologies in water resource planning . We hypothesize that such ontologies have a spatial basis and outline a use case-based approach to identify upper-level concepts. The proposed tool and approach are aligned to benefit all stakeholders in the planning process by facilitating information sharing across information communities as well as assimilate knowledge baselines for future projects.

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Notes

  1. 1.

    https://www.w3.org/OWL/.

  2. 2.

    https://www.w3.org/RDF/

References

  1. Barbier, E.B.: The concept of sustainable economic development. Environ. Conserv. 14(2), 101–110 (1987)

    Article  Google Scholar 

  2. Lintz, G.: The aspect of space in the concept of sustainable development: overview and consequences for research. In: ERSA Conference Papers. European Regional Science Association (1998)

    Google Scholar 

  3. Persson, Å., Weitz, N., Nilsson, M.: Follow-up and review of the sustainable development goals: alignment versus internalization. Rev. Eur. Comp. Int. Environ. Law 25(1), 59–68 (2016)

    Article  Google Scholar 

  4. Davoudi, S.: Planning as practice of knowing. Plan. Theor. 14(3), 316–331 (2015)

    Article  Google Scholar 

  5. Friedmann, J.: Planning in the Public Domain: From Knowledge to Action. Princeton University Press (1987)

    Google Scholar 

  6. Alexander, E.R.: There is no planning—only planning practices: notes for spatial planning theories. Plan. Theor. 15(1), 91–103 (2016)

    Article  Google Scholar 

  7. Mark, D.M., Smith, B., Tversky, B.: Ontology and geographic objects: an empirical study of cognitive categorization. In: International Conference on Spatial Information Theory. Springer (1999)

    Google Scholar 

  8. Demetriou, D., See, L., Stillwell, J.: Expert systems for planning and spatial decision support. In: GeoComputation. CRC Press (2014)

    Google Scholar 

  9. Hotelling, H.: Stability in competition. Econ. J. 39(153), 41–57 (1929)

    Article  Google Scholar 

  10. Lösch, A.: The Economics of Location: Translated from the Second rev. German ed. by William H. Woglom with the Assistance of Wolfgang F. Stolper. Yale University Press (1954)

    Google Scholar 

  11. Friedmann, J.: A general theory of polarized development. Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL) (1967)

    Google Scholar 

  12. Porter, M.E.: Clusters and the New Economics of Competition, vol. 76, Harvard Business Review Boston (1998)

    Google Scholar 

  13. Krugman, P.: The Self-Organizing Economy (1996)

    Google Scholar 

  14. Fan, W., Treyz, F., Treyz, G.: An evolutionary new economic geography model. J. Reg. Sci. 40(4), 671–695 (2000)

    Article  Google Scholar 

  15. Paulk, M.C., et al.: Capability maturity model, version 1.1. IEEE Softw. 10(4), 18–27 (1993)

    Article  Google Scholar 

  16. Sen, S.: Representing Geospatial Concepts: Activities or Entities? Universal Ontology of Geographic Space: Semantic Enrichment for Spatial Data: Semantic Enrichment for Spatial Data, p. 124 (2012)

    Google Scholar 

  17. Du, H., et al.: A method for matching crowd-sourced and authoritative geospatial data. Trans. GIS 21(2), 406–427 (2017)

    Article  Google Scholar 

  18. Tambassi, T.: From a geographical perspective: spatial turn, taxonomies and geo-ontologies. In: The Philosophy of Geo-Ontologies, pp. 27–36. Springer (2018)

    Google Scholar 

  19. Sen, S., et al.: Framework of semantic interoperability using geospatial ontologies. J. Geomatics, India, 71–76 (2007)

    Google Scholar 

  20. Murgante, B., Scorza, F.: Ontology and spatial planning. In: International Conference on Computational Science and Its Applications. Springer (2011)

    Google Scholar 

  21. Zhong, B., et al.: An ontological approach for technical plan definition and verification in construction. Autom. Constr. 55, 47–57 (2015)

    Article  Google Scholar 

  22. Murgante, B., Garramone, V.: Web 3.0 and knowledge management: opportunities for spatial planning and decision making. In: International Conference on Computational Science and Its Applications. Springer (2013)

    Google Scholar 

  23. Lanucara, S., et al.: Interoperable sharing and visualization of geological data and instruments: a proof of concept. In: International Conference on Computational Science and Its Applications. Springer (2017)

    Google Scholar 

  24. Prasad, P., Mishra, V., Sohoni, M.: Reforming rural drinking water schemes. Econ. Political Wkl 49(19), 59 (2014)

    Google Scholar 

  25. Barnes, J., Alatout, S.: Water worlds: introduction to the special issue of social studies of science. Soc. Stud. Sci. 42(4), 483–488 (2012)

    Article  Google Scholar 

  26. Yates, J.S., Harris, L.M., Wilson, N.J.: Multiple ontologies of water: politics, conflict and implications for governance. Environ. Plan. D Soc. Space 35(5), 797–815 (2017)

    Article  Google Scholar 

  27. Honkalaskar, V., Sohoni, M., Bhandarkar, U.: Selection of development agenda with the community by the generation of a shared understanding. J. Rural Commun. Dev. 12(1) (2017)

    Google Scholar 

  28. Bittner, T., Donnelly, M., Smith, B.: A spatio-temporal ontology for geographic information integration. Int. J. Geogr. Inf. Sci. 23(6), 765–798 (2009)

    Article  Google Scholar 

  29. Choudhary, V., et al.: Redesigning khardi rural piped water network scheme for sustainability. Technical Report No. TR-CSE-2013-56 (2013). Department of Computer Science and Engineering, IIT Bombay

    Google Scholar 

  30. Hooda, N., Damani, O.: A system for optimal design of pressure constrained branched piped water networks. Proced. Eng. 186, 349–356 (2017)

    Article  Google Scholar 

  31. Storme, T., Witlox, F.: Location‐allocation models. The international encyclopedia of geography

    Google Scholar 

  32. Jabareen, Y.: Planning the resilient city: concepts and strategies for coping with climate change and environmental risk. Cities 31, 220–229 (2013)

    Article  Google Scholar 

  33. Aeron, A., et al.: Advancements in flood risk mapping systems: a brief review. i-Manager’s J. Civil Eng. 2(1), 40 (2011)

    Google Scholar 

  34. Horrocks, I., et al.: Using semantic technology to tame the data variety challenge. IEEE Int. Comput. 20(6), 62–66 (2016)

    Article  Google Scholar 

  35. Sen, S., et al.: Schema matching as a step towards interoperability: experiments in the Indian NSDI. In: Beyond Spatial Data Infrastructures International Workshop at the GIScience (2006)

    Google Scholar 

  36. Baader, F., et al.: Introduction to Description Logic. Cambridge University Press (2017)

    Google Scholar 

  37. Elag, M., Goodall, J.L.: An ontology for component-based models of water resource systems. Water Resour. Res. 49(8), 5077–5091 (2013)

    Article  Google Scholar 

  38. Agresta, A., et al.: An ontology framework for flooding forecasting. In: International Conference on Computational Science and Its Applications. Springer (2014)

    Google Scholar 

  39. Yang, C., et al.: Utilizing cloud computing to address big geospatial data challenges. Comput. Environ. Urban Syst. 61, 120–128 (2017)

    Article  Google Scholar 

  40. Milz, D., et al.: Reconsidering scale: using geographic information systems to support spatial planning conversations. Plan. Pract. Res., 1–18 (2017)

    Google Scholar 

  41. Mark, D., et al.: Ontological foundations for geographic information science. Res. Chall. Geogr. Inf. Sci., 335–350 (2004)

    Google Scholar 

  42. Gyawali, B., et al.: Mapping natural language to description logic. In: European Semantic Web Conference. Springer (2017)

    Google Scholar 

  43. Wan, S., Angryk, R.A.: Measuring semantic similarity using wordnet-based context vectors. In: IEEE International Conference on Systems, Man and Cybernetics, ISIC. IEEE (2007)

    Google Scholar 

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Sen, S., Shah, J., Sohoni, M. (2018). Knowledge-Based Approach to Planning: A Case Study-Based Approach. In: Sarda, N., Acharya, P., Sen, S. (eds) Geospatial Infrastructure, Applications and Technologies: India Case Studies. Springer, Singapore. https://doi.org/10.1007/978-981-13-2330-0_14

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  • DOI: https://doi.org/10.1007/978-981-13-2330-0_14

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