What's in a Link: Foundations for Semantic Networks

Woods, William A.

doi:10.21236/ada022584

Cited by 158 publications

(137 citation statements)

References 3 publications

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“…Description logics (DLs) are a family of logic-based knowledge representation formalisms; they are descendants of Semantic Networks [29] and KL-ONE [2]. These formalisms all adopt an object-oriented model, similar to the one used by Plato and Aristotle, in which the domain is described in terms of individuals, concepts (usually called classes in ontology languages), and roles (usually called relationships or properties in ontology languages).…”

Section: The Web Ontology Language Owlmentioning

confidence: 99%

What Are Ontologies Good For?

Horrocks

2013

Evolution of Semantic Systems

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Abstract. Ontology, in its original philosophical sense, is a fundamental branch of metaphysics focusing on the study of existence; its objective is to determine what entities and types of entities actually exist, and thus to study the structure of the world. In contrast, in computer science an ontology is an engineering artifact, usually a "conceptual model" of (some aspect of) the world, typically formalised as a logical theory. Formalising an ontology using a suitable logic opens up the possibility of using automated reasoning to support both ontology design and deployment. The value of such support has already been demonstrated in medical applications, where it has been used to help repair and enrich ontologies that play an important role in patient care. Even with the aid of reasoning enabled tools, developing and maintaining good quality ontologies is a difficult and costly task, and problems related to the availability of good quality ontologies threaten to limit the deployment of ontology based information systems. This has resulted in ontology engineers increasingly looking to the philosophy community for possible solutions, and in particular as a source of relevant expertise in the organisation and formalisation of knowledge.

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Section: The Web Ontology Language Owlmentioning

confidence: 99%

What Are Ontologies Good For?

Horrocks

2013

Evolution of Semantic Systems

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“…From the perspective of strict typing, it is natural to ask how property bundles are composed: for example, if properties correspond to qualia, is it simply the case that adjectives are qualia and nouns are bundles of qualia? From the perspective of the essentially type-free network theory, the main question is to sort out the kinds of links permitted by the model (Woods 1975). Here we will try to sketch an answer to both kinds of questions.…”

Section: Representation By Machinesmentioning

confidence: 99%

Eliminating Ditransitives

Kornai

2012

Formal Grammar

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“…In the healthcare ontology, organisational healthcare rules are defined. Snomed 3 [8], a national specialist language for healthcare is connected. The multi-agent system works with ontologies, internally in the system, to find words and produce messages corresponding to the abbreviations, and, externally at the Web, to find geographic location with waved ground.…”

Section: The Multi-agent Systemmentioning

confidence: 99%

“…Abbreviations are context sensitive [13], and as early as 1975, Woods [3] stated the importance of semantics and not only syntax. In this paper, we work with an awareness of syntax and semantics as we apply multiagent systems in the real world context of international emergency handling.…”

Section: Introductionmentioning

confidence: 99%

Framework for Dynamic Life Critical Situations Using Agents

Lundberg

Håkansson

2009

Multiagent System Technologies

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Abstract. In this paper, we present a framework incorporating a multi-agent system (MAS) that enables aid for international effect-based operation in emergency situations. The outcome is to empower emergency personnel, which can support collaboration between different international services by informing them about the emergency, matching competences and resources of the teams and volunteers. The challenge in emergency contexts is the abbreviations forming an information-carrying structure, which is especially important when abbreviations are exchanged between different services like rescue, military and emergency. We propose a framework, which provides the right information, rescue team, and services at the right place. The MAS can support information dissemination in dynamic situations in context, based on the information extraction and matching of the contents of the underlying ontologies. In the framework the system poses a sensible solution to the international rescue teams' need of a high quality handling of life critical situations.

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What's in a Link: Foundations for Semantic Networks

Cited by 158 publications

References 3 publications

What Are Ontologies Good For?

What Are Ontologies Good For?

Eliminating Ditransitives

Framework for Dynamic Life Critical Situations Using Agents

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