scholarly journals Ontology-Based Liability Decision Support in the International Maritime Law

2020 ◽  
Author(s):  
Mirna El Ghosh ◽  
Habib Abdulrab
Keyword(s):  
Decision Support ◽  
Conceptual Modeling ◽  
Liability Rule ◽  
Maritime Law ◽  
Legal Rules ◽  
Modeling Process ◽  
Legal Domain ◽  
Core Ontologies ◽  
Procedural Aspect

In this paper, we present an ontology-based liability decision support task in the international maritime law, specifically the domain of carriage of goods by sea. We analyze the liabilities of the involved legal agents (carriers and shippers) in case of loss or damage of goods. Thus, a well-founded legal domain ontology, named CargO-S, is used. CargO-S has been developed using an ontology-driven conceptual modeling process, supported by reusing foundational and legal core ontologies. In this work, we demonstrate the usability of CargO-S to design and implement a set of chained rules describing the procedural aspect of the liabilities legal rules. Finally, we employ these rules in a liability rule-based decision support task using a real case study.

A Participatory Approach for Analyzing and Modeling Decision Processes

2011 ◽  
pp. 138-154 ◽  
Author(s):  
Kathrin Kirchner ◽  
Ivonne Erfurth ◽  
Sarah Möckel ◽  
Tino Gläßer ◽  
André Schmidt
Keyword(s):  
Decision Support ◽  
Decision Process ◽  
Business Processes ◽  
Participatory Approach ◽  
Problem Area ◽  
Decision Processes ◽  
Planning Decisions ◽  
Modeling Process ◽  
Cooperative Partner

Most decision analytic research does not focus on initial steps of modeling and mostly concentrates on selecting preexisting algorithms. In this chapter we present how we can formalize decision intensive business processes based on a case study on a Decision Support System (DSS) for cultivation planning. Decisions in this problem area depend notably on expertise and experience acquired by the farmer. As a first step the decision process of the agriculturist needs to be explored, analyzed and documented. Afterwards all information and data, which leads up to a decision, will be collected, systemized and grouped. We will apply user participative techniques that integrate the farmer as a cooperative partner into the modeling process. The outcome of this modeling leads to a formalized model later on. On account of this approach the DSS will represent the real decision process of the farmer and increases trust in the decisions suggested by the system.

CargO-S: A pattern-based well-founded legal domain ontology for the traceability of goods in logistic sea corridors

2021 ◽  
pp. 1-40
Author(s):  
Mirna El Ghosh ◽  
Habib Abdulrab
Keyword(s):  
Development Process ◽  
Conceptual Modeling ◽  
Domain Ontology ◽  
Ontology Engineering ◽  
Legal Rules ◽  
Evaluation Approach ◽  
Foundational Ontology ◽  
Core Ontology ◽  
Legal Domain ◽  
Ontology Reuse

Building legal domain ontologies is a prominent challenge in the ontology engineering community. The ontology builders confront issues such as the complexity of the legal domain, the difficulty of applying existing ontology engineering approaches, and the intention of developing legal models faithful to realities. In this paper, we discuss constructing a well-founded legal domain ontology, named CargO-S, for the traceability of goods in logistic sea corridors. For building CargO-S, a pattern-oriented approach is applied, supported by ontology-driven conceptual modeling, ontology layering, and ontology reuse processes. CargO-S is grounded in the unified foundational ontology UFO by using the ontology-driven conceptual modeling language OntoUML. Besides, ontology layering is proposed to simplify the development process by dividing CargO-S into three layers located at different granularity levels: upper, core, and domain. For building the upper and core layers, conceptual ontology patterns are reused from the foundational ontology UFO and the legal core ontology UFO-L. These patterns are applied, either by extension or analogy with legal rules, for building the domain layer. CargO-S is then validated by implementing the ontology as OWL and SWRL rules. Finally, the performance and the semantic accuracy of CargO-S are evaluated using a dual evaluation approach.

scholarly journals Decision Support for the (Inter-)Basin Management of Water Resources Using Integrated Hydro-Economic Modeling

Hydrology ◽  
2021 ◽  
Vol 8 (1) ◽  
pp. 42
Author(s):  
Gerald Norbert Souza da Silva ◽  
Márcia Maria Guedes Alcoforado de Moraes
Keyword(s):  
Decision Support ◽  
Water Resources ◽  
Water Allocation ◽  
Hydrological Modeling ◽  
Well Being ◽  
Water Transfer ◽  
Economic Modeling ◽  
Trade Offs ◽  
Study Results

The development of adequate modeling at the basin level to establish public policies has an important role in managing water resources. Hydro-economic models can measure the economic effects of structural and non-structural measures, land and water management, ecosystem services and development needs. Motivated by the need of improving water allocation using economic criteria, in this study, a Spatial Decision Support System (SDSS) with a hydro-economic optimization model (HEAL system) was developed and used for the identification and analysis of an optimal economic allocation of water resources in a case study: the sub-middle basin of the São Francisco River in Brazil. The developed SDSS (HEAL system) made the economically optimum allocation available to analyze water allocation conflicts and trade-offs. With the aim of providing a tool for integrated economic-hydrological modeling, not only for researchers but also for decision-makers and stakeholders, the HEAL system can support decision-making on the design of regulatory and economic management instruments in practice. The case study results showed, for example, that the marginal benefit function obtained for inter-basin water transfer, can contribute for supporting the design of water pricing and water transfer decisions, during periods of water scarcity, for the well-being in both basins.

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