Towards a Semantic Intelligence to Support Seaport Governance in Environmental and Ecological Sustainability

Taking into account that seaport governance in environmental and ecological sustainability becomes a seaport function of growing public interest, environmental and ecological factors are criteria that will enter into operational choices, capital investments, and cargo routing decisions. Environmental influences as well as factors of institutional governance (regulations and environmental management practices) may lead to common interests among the members. We propose the use of a semantic-based approach to further look at how the knowledge needed to understand the effects observed in seaport decision-making tackle the difficulty of sharing information and finding the best possible representations (model) in order to aid collective decision-making process. The benefits of the semantic use of terminology relevant for the port governance are envisaged in which modeling an ontology will require consensus among domain experts from many and different port areas and the complexity of reaching consensus when multiple conflicting views may exist can threaten consistency across the systems.

[1]  Tatjana Keselj,et al.  Port State Jurisdiction in Respect of Pollution from Ships: The 1982 United Nations Convention on the Law of the Sea and the Memoranda of Understanding , 1999 .

[2]  P. Verhoeven,et al.  European ports policy: meeting contemporary governance challenges , 2009 .

[3]  Deborah Richards,et al.  Towards Management of the Data and Knowledge Needed for Port Integration: An Initial Ontology , 2014, PKAW.

[4]  A. Ng,et al.  The environmental impacts of pollutants generated by routine shipping operations on ports , 2010 .

[5]  Vijay Hiranandani,et al.  Sustainable development in seaports: a multi-case study , 2014 .

[6]  P. Verhoeven,et al.  A review of port authority functions: towards a renaissance? , 2010 .

[7]  Jennifer L. Molnar,et al.  Marine Ecoregions of the World: A Bioregionalization of Coastal and Shelf Areas , 2007 .

[8]  Deborah Richards,et al.  Proposing a port decision system approach for dynamic integration of South American sea ports , 2011, 2011 International Conference on Advances in ICT for Emerging Regions (ICTer).

[9]  Christos Faloutsos,et al.  Data-driven evolution of data mining algorithms , 2002, CACM.

[10]  Alex Bennet,et al.  The Decision-Making Process in a Complex Situation , 2008 .

[11]  P. J. F. Geerders.  Nature’s Data and Data’s Nature , 1997 .

[12]  Theo Notteboom,et al.  The Greening of Ports: A Comparison of Port Management Tools Used by Leading Ports in Asia and Europe , 2014 .

[13]  E. Molenaar,et al.  Port State Jurisdiction: Toward Comprehensive, Mandatory and Global Coverage , 2007 .

[14]  Jasmine Siu Lee Lam,et al.  Environmental sustainability in seaports: a framework for successful innovation , 2014 .

[15]  Ana Ximena Halabi Echeverry,et al.  Semantic Intelligence in a Seaport Context , 2018, 2018 IEEE/ACS 15th International Conference on Computer Systems and Applications (AICCSA).

[16]  C. Heip,et al.  Aspects of coastal research in contribution to LOICZ in the Netherlands and Flanders (2002-2010) , 2011 .

[17]  Deborah Richards,et al.  Identifying Characteristics of Seaports for Environmental Benchmarks Based on Meta-learning , 2012, PKAW.

[18]  Nikos Karacapilidis,et al.  An Overview of Future Challenges of Decision Support Technologies , 2006 .

[19]  John Dinwoodie,et al.  Sustainable Development of Maritime Operations in Ports , 2012 .

[20]  Tom M. van Engers,et al.  Ontologies in the Legal Domain , 2008, Digital Government.

[21]  Kevin Cullinane,et al.  Port privatization policy and practice , 2002 .