Matches in ScholarlyData for { ?s ?p ?o. }
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent grzegorz-j-nalepa.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent szymon-bobek.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent antoni-ligeza.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent krzysztof-kaczor.
- item-4 previous item-3.
- 3 creator harold-boley.
- 3 creator kalliopi-kravari.
- 3 creator nick-bassiliades.
- 3 creator taylor-osmun.
- 3 type InProceedings.
- 3 label "Cross-Community Interoperation Between the EMERALD and Rule Responder Multi-Agent Systems".
- 3 sameAs 3.
- 3 abstract "The vision of the Semantic Web allows users to delegate complex actions to intelligent agents, which will act on behalf of their users in a variety of real-life applications. This paper focuses on two Semantic Web enabled multi-agent systems, EMERALD and Rule Responder, which can be employed to assist communities of users based on Semantic Web and multi-agent standards such as RDF, OWL, RuleML, and FIPA. The present work demonstrates how these multi-agent systems can interoperate to automate collaboration across communities using a declarative, knowledge-based approach. In addition, a multi-step interaction scenario among agents is presented, demonstrating the usefulness of interoperating between the above systems, exemplifying a general approach to cross-community collaboration.".
- 3 hasAuthorList authorList.
- 3 isPartOf proceedings.
- 3 keyword "EMERALD".
- 3 keyword "Rule Responder".
- 3 keyword "RuleML".
- 3 keyword "Semantic Web".
- 3 keyword "SymposiumPlanner".
- 3 keyword "Web Rules".
- 3 keyword "gateway".
- 3 keyword "intelligent multi-agent systems".
- 3 title "Cross-Community Interoperation Between the EMERALD and Rule Responder Multi-Agent Systems".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasItem item-4.
- authorList hasLastItem item-4.
- item-1 type ListItem.
- item-1 hasContent kalliopi-kravari.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent taylor-osmun.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent harold-boley.
- item-3 next item-4.
- item-3 previous item-2.
- item-4 type ListItem.
- item-4 hasContent nick-bassiliades.
- item-4 previous item-3.
- 30 creator ankesh-khandelwal.
- 30 creator ian-jacobi.
- 30 creator lalana-kagal.
- 30 type InProceedings.
- 30 label "Rule-Based Trust Assessment on the Semantic Web".
- 30 sameAs 30.
- 30 abstract "The Semantic Web is a decentralized forum on which anyone can publish their structured data or extend and reuse existing data. This inherent openness of the Semantic Web raises questions about the trustworthiness ofWeb data|which data sources to trust, what kinds of data from these sources to trust, how to make declarations about trust, how to use these declarations to calculate trust, etc. One of the main factors that trust depends on is the provenance of the data, which could be as simple as its source or contain the entire deduction trace including the facts and rules applied in order to reach the data as a conclusion. It must be possible to assess trustworthiness of data by evaluating trust declarations of all types including those associated with data and rules used in deductions. This paper does not propose a new trust management model or mechanism. Instead, it identies two trust axes namely data and rules and two trust categories namely content-based and metadata-based from which different trust assessment models may be derived and shows how AIR, a Web rule language, can be used to declaratively describe these models.".
- 30 hasAuthorList authorList.
- 30 isPartOf proceedings.
- 30 keyword "Semantic Web trust models".
- 30 keyword "rule-based trust".
- 30 keyword "trust assessment".
- 30 title "Rule-Based Trust Assessment on the Semantic Web".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
- authorList hasLastItem item-3.
- item-1 type ListItem.
- item-1 hasContent ian-jacobi.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent lalana-kagal.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent ankesh-khandelwal.
- item-3 previous item-2.
- 31 creator hannes-obweger.
- 31 creator josef-schiefer.
- 31 creator martin-suntinger.
- 31 creator robert-thullner.
- 31 type InProceedings.
- 31 label "Entity-Based State Management for Complex Event Processing Applications".
- 31 sameAs 31.
- 31 abstract "Complex Event Processing (CEP) using Event-Condition-Action (ECA) rules has successfully been applied in time-critical business domains such as logistics, fraud detection and finance. While ECA-based CEP works particularly well for detecting noteworthy business situations of a defined length and structure it shows weaknesses when the state of a complex, durable entity – e.g., a counter, a server, or a task queue – shall be derived from continuous streams of low-level updates. In this paper, we present a novel approach to state management for CEP applications. We propose business entity providers, which encapsulate arbitrary state-derivation logic and manage state in the form of typed, application-wide data structures. Using a plug-in-based component model, business entity providers can be integrated into an application based on the specific requirements of a business scenario. We present an ECA rule model that allows accessing business entities well-integrated with event-pattern detection and demonstrate our approach in a real-world example from the workload automation domain.".
- 31 hasAuthorList authorList.
- 31 isPartOf proceedings.
- 31 keyword "Business entities".