Detection of semantic conflicts in ontology and rule-based information systems (original) (raw)
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Integration of heterogeneous data sources is not an easy task that involves reconciliation of various levels of conflicts. Before we can integrate the heterogeneous data, we need to resolve these heterogeneity conflicts. Semantic conflict, if undetected, can lead to disastrous results in even the simplest information system. In this paper, we recommend system architecture to solve the semantic data level conflicts that related to different representation or interpretation of data contexts among different sources and receivers. In the proposed ontology-based approach, all data semantics explicitly described in the knowledge representation phase and automatically taken into account by Interpretation Mediation Services phase so conflicts can automatically detect and resolved at the query runtime. Data sources still independent from the integration process that is mean we can retrieve up to date data and smoothly update the data in each data source without affecting the framework.
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2009
Multi-Context Systems are logical formalizations of distributed context theories connected through mapping rules, which enable information flow between different contexts. Reasoning in Multi-Context Systems introduces many challenges that arise from the heterogeneity of contexts with regard to the language and inference system that they use, and from the potential conflicts that may arise from the interaction of context theories through the mappings. The current paper proposes four alternative strategies for using context and preference information to resolve conflicts in a Multi-Context Framework, in which contexts are modeled as rule theories, mappings as defeasible rules, and global inconsistency is handled using methods of distributed defeasible reasoning. Motivation and Background A Multi-Context System consists of a set of contexts and a set of inference rules (known as mapping or bridge rules) that enable information flow between different contexts. A context can be thought o...
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In Multi-agent systems (MAS), norms can be adopt as a strategy to regulate and guide the behavior of software agents and avoid that unexpected actions occur in the system. In order to guarantee that the MAS runs properly, the set of norms must be free of conflict. Two norms are in conflict when the agent automatically violates a norm when adopts the other one. In this paper, we present an approach for detecting and resolving indirect conflicts among norms that regulate a multi-agent system. Indirect conflicts are those who arise among norms whose elements being regulated are not the same but are related. Our approach uses a lexical database and a domain ontology to detect indirect conflicts and the conflicts detected are resolved by manipulating the activation/deactivation conditions of the conflicting norms taking into account the relationships identified among the elements of the conflicting norms.
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Norms are being used as a mechanism to regulate the behavior of autonomous, heterogeneous and independently designed agents. Norms describe what can be performed, what must be performed, and what cannot be performed in the multi-agent systems. Due to the number of norms specified to govern a multi-agent system, one important issue that has been considered by several approaches is the checking for normative conflicts. Two norms are said to be in conflict when the fulfillment of one norm violates the other and vice-versa. In this paper, we formally define the concept of an indirect normative conflict as a conflict between two norms that not necessarily have contradictory or contrary deontic modalities and that may govern (different but) related behaviors of (different but) related entities on (different but) related contexts. Finally, we present an ontology-based indirect norm conflict checker that automatically identifies direct and indirect norm conflicts on an ontology describing a set of norms and a set of relationships between the elements identified in the norms (behavior, entity and context).
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In this work a goal-based notion of conflict is presented. Various kinds of conflict, including meta-level conflict, are identified. Psychological conflicts are distinguished from "internal conflicts", and the famous Lewin's typology is reconsidered. Internal conflict and choice are disentangled. Social conflict, tendency to hostility and aggression are explained on the basis of "competition". General principles/processes of both internal and social conflict resolution are presented.
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