Matches in ScholarlyData for { ?s ?p ?o. }
- 41 keyword "RuleML".
- 41 keyword "class memberships".
- 41 keyword "frames".
- 41 keyword "model-theoretic semantics".
- 41 keyword "object-applicative rules".
- 41 keyword "orthogonal design".
- 41 keyword "positional-slotted rules".
- 41 title "A RIF-Style Semantics for RuleML-Integrated Positional-Slotted, Object-Applicative Rules".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasLastItem item-1.
- item-1 type ListItem.
- item-1 hasContent harold-boley.
- 44 creator luis-moniz-pereira.
- 44 creator pierangelo-dellacqua.
- 44 creator stefania-costantini.
- 44 type InProceedings.
- 44 label "Conditional Learning of Rules and Plans by Knowledge Exchange in Logical Agents".
- 44 sameAs 44.
- 44 abstract "This paper is related to logical agents and in particular discusses issues related to learning reactive rules and plans from other agents. In principle, the approach extends to agent societies a feature which is proper of human societies, i.e., the cultural transmission of abilities. However, the new knowledge cannot be blindly accepted and incorporated, but should instead be evaluated (and thus possibly either incorporated or discarded) according to its usefulness. We consider two evaluation methods. We propose a (prototypically implemented) technique and its formalization, and discuss an example.".
- 44 hasAuthorList authorList.
- 44 isPartOf proceedings.
- 44 keyword "Learning".
- 44 keyword "Logical Agents".
- 44 keyword "Rule exchange".
- 44 title "Conditional Learning of Rules and Plans by Knowledge Exchange in Logical Agents".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
- authorList hasItem item-3.
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- item-1 type ListItem.
- item-1 hasContent stefania-costantini.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent pierangelo-dellacqua.
- item-2 next item-3.
- item-2 previous item-1.
- item-3 type ListItem.
- item-3 hasContent luis-moniz-pereira.
- item-3 previous item-2.
- 48 creator anastasia-analyti.
- 48 creator carlos-viegas-damasio.
- 48 creator grigoris-antoniou.
- 48 type InProceedings.
- 48 label "Modularity in the Rule Interchange Format".
- 48 sameAs 48.
- 48 abstract "The adoption of standards by the knowledge representation and logic programming communities is essential for their visibility and impact. The Rule Interchange Format is a fundamental effort in this direction which should be supported by users, developers and theoreticians. For this reason, it is essential to the community to discuss the recommendations published by the W3C RIF Working Group. In particular, this paper presents the semantics of Rule Interchange Format (RIF) of multi-documents, analyses it and some deficiencies are elicited. A more general approach is proposed as an alternative semantics for multi-documents. As a side important result, some relevant problems in the semantics of RIF-FLD are also discussed and possible ways out are proposed.".
- 48 hasAuthorList authorList.
- 48 isPartOf proceedings.
- 48 keyword "Modularity".
- 48 keyword "Rule Interchange Format".
- 48 keyword "Semantics of Multi-documents".
- 48 keyword "Semantics of RIF".
- 48 title "Modularity in the Rule Interchange Format".
- 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 carlos-viegas-damasio.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent anastasia-analyti.
- item-2 next item-3.
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- item-3 type ListItem.
- item-3 hasContent grigoris-antoniou.
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- 50 creator monica-nogueira.
- 50 creator noel-greis.
- 50 type InProceedings.
- 50 label "Rule-Based Complex Event Processing for Food Safety and Public Health".
- 50 sameAs 50.
- 50 abstract "The challenge for public health officials is to detect an emerging foodborne disease outbreak from a large set of simple and isolated, domain-specific events. These events can be extracted from a large number of distinct information systems such as surveillance and laboratory reporting systems from health care providers, real-time complaint hotlines from consumers, and inspection reporting systems from regulatory agencies. In this paper we formalize a foodborne disease outbreak as a complex event and apply an event-driven rule-based engine to the problem of detecting emerging events. We define an evidence set as a set of simple events that are linked symptomatically, spatially and temporally. A weighted metric is used to compute the strength of the evidence set as a basis for response by public health officials.".
- 50 hasAuthorList authorList.
- 50 isPartOf proceedings.
- 50 keyword "answer set programming".
- 50 keyword "complex event processing".
- 50 keyword "rules engine".
- 50 title "Rule-Based Complex Event Processing for Food Safety and Public Health".
- authorList type List.
- authorList hasFirstItem item-1.
- authorList hasItem item-1.
- authorList hasItem item-2.
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- item-1 type ListItem.
- item-1 hasContent monica-nogueira.
- item-1 next item-2.
- item-2 type ListItem.
- item-2 hasContent noel-greis.
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- 55 creator myra-spiliopoulou.
- 55 creator zaigham-faraz-siddiqui.
- 55 type InProceedings.
- 55 label "Classification Rule Mining for A Stream of Perennial Objects".