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A Policy-Based Approach to Context Dependent Natural Language Generation
"... This paper presents a method for tailoring Natural Language Generation according to context in a web-based Virtual Research Environment. We discuss a policy-driven framework for capturing user, project and organisation preferences and describe how it can be used to control the generation of textual ..."
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This paper presents a method for tailoring Natural Language Generation according to context in a web-based Virtual Research Environment. We discuss a policy-driven framework for capturing user, project and organisation preferences and describe how it can be used to control the generation of textual descriptions of RDF resources. 1
T.: ourspaces - design and deployment of a semantic virtual research environment
- In: International Semantic Web Conference (ISWC 2012) - Semantic Wen in Use Track, Springer-Verlag
, 2012
"... Abstract. In this paper we discuss our experience with the design, develop-ment and deployment of the ourSpaces Virtual Research Environment. ourSpaces makes use of Semantic Web technologies to create a platform to support multi-disciplinary research groups. This paper introduces the main semantic c ..."
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Abstract. In this paper we discuss our experience with the design, develop-ment and deployment of the ourSpaces Virtual Research Environment. ourSpaces makes use of Semantic Web technologies to create a platform to support multi-disciplinary research groups. This paper introduces the main semantic compo-nents of the system: a framework to capture the provenance of the research pro-cess, a collection of services to create and visualise metadata and a policy reason-ing service. We also describe different approaches to support interaction between users and metadata within the VRE. We discuss the lessons learnt during the deployment process with three case study groups. Finally, we present our con-clusions and future directions for exploration in terms of developing ourSpaces further.
Provenance Policies Natural language
, 2014
"... a b s t r a c t The ourSpacesVirtual Research Environmentmakes use of SemanticWeb technologies to create a platform to support multi-disciplinary research groups. This paper introduces the main semantic components of the system: a framework to capture the provenance of the research process, a collec ..."
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a b s t r a c t The ourSpacesVirtual Research Environmentmakes use of SemanticWeb technologies to create a platform to support multi-disciplinary research groups. This paper introduces the main semantic components of the system: a framework to capture the provenance of the research process, a collection of services to create and visualise metadata and a policy reasoning service. We also describe different approaches to authoring and accessing metadata within the VRE. Using evidence gathered from data provided by the users of the system we discuss the lessons learnt from deployment with three case study groups. © 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY license
Semantically Enhanced Interactions between Heterogeneous Data Life-Cycles Analyzing Educational Lexica in a Virtual Research Environment
"... Abstract. This paper highlights how Semantic Web technologies facilitate new socio-technical interactions between researchers and libraries focussing research data in a Virtual Research Environment. Concerning data practices in the fields of social sciences and humanities, the worlds of researchers ..."
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Abstract. This paper highlights how Semantic Web technologies facilitate new socio-technical interactions between researchers and libraries focussing research data in a Virtual Research Environment. Concerning data practices in the fields of social sciences and humanities, the worlds of researchers and librarians have so far been separate. The increased digitization of research data and the ubiquitous use of Web technologies change this situation and offer new capacities for interaction. This is realized as a semantically enhanced Virtual Research Environment, which offers the possibility to align the previously disparate data life-cycles in research and in libraries covering a variety of inter-activities from importing research data via enriching research data and cleansing to exporting and sharing to allow for reuse. Currently, collaborative qualitative and quantitative analyses of a large digital corpus of educational lexica are carried out using this semantic and wiki-based research environment.
Policies for Role Based Agents in Environments with Changing Ontologies
"... Software agents try to achieve the goals of roles that they have in an environment. It is supposed that the dynamic structure of role based agents can be connected with updatable domain ontologies of the environment. Ontology evolution can cause the update of agent behaviors or access restrictions t ..."
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Software agents try to achieve the goals of roles that they have in an environment. It is supposed that the dynamic structure of role based agents can be connected with updatable domain ontologies of the environment. Ontology evolution can cause the update of agent behaviors or access restrictions to ontological elements. So regulation for the agent behaviors may be needed. Our motivation is to create a suitable policy model for agents, environments and organizations when ontologies in the environment can change. Categories and Subject Descriptors I.2.11 [Distributed Artificial Intelligence]: Multiagent systems
Goal Directed Conflict Resolution and Policy Refinement
"... Abstract. A policy (or norm) is a guideline stating what is allowed, what is forbidden and what is obligated for an entity, in a certain situa-tion, so that an acceptable outcome is achieved. Policies occur in many types of scenarios, whether they are loose social networks of individuals or highly s ..."
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Abstract. A policy (or norm) is a guideline stating what is allowed, what is forbidden and what is obligated for an entity, in a certain situa-tion, so that an acceptable outcome is achieved. Policies occur in many types of scenarios, whether they are loose social networks of individuals or highly structured institutions. It is important for policies to be consis-tent and to support the goals of an organisation. This requires a thorough understanding of the implications of introducing specific policies and how they interact. It is difficult, even for experts, to write consistent, unam-biguous and accurate policies, and conflicts are practically unavoidable. In this paper we address the challenge of providing automated support for identifying and resolving logical and functional conflicts. We present a model of conflict identification and resolution that focuses attention on conflicts that are most critical to the goals of the organisation.
Noname manuscript No. (will be inserted by the editor) Learning Strategies for Task Delegation in Norm-Governed Environments
"... Abstract How do I choose whom to delegate a task to? This is an important question for an autonomous agent collaborating with others to solve a problem. Were similar proposals accepted from similar agents in similar circumstances? What arguments were most convincing? What are the costs incurred in p ..."
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Abstract How do I choose whom to delegate a task to? This is an important question for an autonomous agent collaborating with others to solve a problem. Were similar proposals accepted from similar agents in similar circumstances? What arguments were most convincing? What are the costs incurred in putting certain arguments forward? Can I exploit domain knowledge to improve the outcome of delegation decisions? In this paper, we present an agent decision-making mechanism where models of other agents are refined through evidence from past dialogues and domain knowledge, and where these models are used to guide future delegation decisions. Our approach com-bines ontological reasoning, argumentation and machine learning in a novel way, which exploits decision theory for guiding argumentation strategies. Using our approach, in-telligent agents can autonomously reason about the restrictions (e.g., policies/norms) that others are operating with, and make informed decisions about whom to delegate a task to. In a set of experiments, we demonstrate the utility of this novel combination of techniques. Our empirical evaluation shows that decision-theory, machine learning and ontology reasoning techniques can significantly improve dialogical outcomes. 1
OWL-POLAR: A Framework for Semantic Policy Representation and Reasoning
"... In a distributed system, the actions of one component may lead to severe failures in the system as a whole. To govern such systems, constraints are placed on the behaviour of components to avoid such undesirable actions. Policies or norms are declarations of soft constraints regulating what is prohi ..."
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In a distributed system, the actions of one component may lead to severe failures in the system as a whole. To govern such systems, constraints are placed on the behaviour of components to avoid such undesirable actions. Policies or norms are declarations of soft constraints regulating what is prohibited, permitted or obliged within a distributed sys-tem. These constraints provide systems-level means to mitigate against failures. A few machine-processable representations for policies have been proposed, but they tend to be either limited in the types of policies that can be expressed or are limited by the complex-ity of associated reasoning mechanisms. In this paper, we present a language that suffi-ciently expresses the types of policies essential in practical systems, and which enables both policy-governed decision-making and policy analysis within the bounds of decidabil-ity. We then propose an OWL-based representation of policies that meets these criteria and reasoning mechanisms that use a novel combination of ontology consistency checking and query answering. The proposed policy representation and reasoning mechanisms al-low development of distributed agent-based systems that operate flexibly and effectively in policy-constrainted environments.
