Results 1 - 10
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2,281
Ontologies are us: A unified model of social networks and semantics
- In International Semantic Web Conference
, 2005
"... Abstract. On the Semantic Web ontologies are most commonly treated as artifacts created by knowledge engineers for a particular community. The task of the engineers is to forge a common understanding within the community and to formalize the agreements, prerequisites of reusing domain knowledge in i ..."
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Cited by 466 (3 self)
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in information systems. However, the process of objectifying ontologies results in ontological drift over time (as the community and its understanding evolves independently of the agreement) and results in the loss of local views over the domain. Several authors have suggested emergent semantics as a solution [1
C-OWL: Contextualizing Ontologies
, 2003
"... Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party's subjective view of a domain. In this paper we show how ontologies can be contextualized, thus acquiring certain useful properties that a ..."
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Cited by 243 (31 self)
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Ontologies are shared models of a domain that encode a view which is common to a set of different parties. Contexts are local models that encode a party's subjective view of a domain. In this paper we show how ontologies can be contextualized, thus acquiring certain useful properties
Ontology versioning on the Semantic Web
- Stanford University
, 2001
"... Ontologies are often seen as basic building blocks for the Semantic Web, as they provide a reusable piece of knowledge about a specific domain. However, those pieces of knowledge are not static, but evolve over time. Domain changes, adaptations to different tasks, or changes in the conceptualization ..."
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Cited by 136 (10 self)
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Ontologies are often seen as basic building blocks for the Semantic Web, as they provide a reusable piece of knowledge about a specific domain. However, those pieces of knowledge are not static, but evolve over time. Domain changes, adaptations to different tasks, or changes
Anchor-PROMPT: Using Non-Local Context for Semantic Matching
- IN PROCEEDINGS OF THE WORKSHOP ON ONTOLOGIES AND INFORMATION SHARING AT THE INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI
, 2001
"... Researchers in the ontology-design field have developed the content for ontologies in many domain areas. Recently, ontologies have become increasingly common on the WorldWide Web where they provide semantics for annotations in Web pages. This distributed nature of ontology development has led t ..."
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Cited by 182 (8 self)
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Researchers in the ontology-design field have developed the content for ontologies in many domain areas. Recently, ontologies have become increasingly common on the WorldWide Web where they provide semantics for annotations in Web pages. This distributed nature of ontology development has led
Ontology Adaptation upon Updates
"... Abstract. Ontologies, like any other model, change over time due to modifications in the modeled domain, deeper understanding of the domain by the modeler, error corrections, simple refactoring or shift of modeling granularity level. Local changes usually impact the remainder of the ontology as well ..."
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Abstract. Ontologies, like any other model, change over time due to modifications in the modeled domain, deeper understanding of the domain by the modeler, error corrections, simple refactoring or shift of modeling granularity level. Local changes usually impact the remainder of the ontology
Goal-Directed Evaluation of Binarization Methods
, 1995
"... This paper presents a methodology for evaluation of low-level image analysis methods, using binarization (two-level thresholding) as an example. Binarization of scanned gray scale images is the first step in most document image analysis systems. Selection of an appropriate binarization method for an ..."
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Cited by 190 (10 self)
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locally adaptive binarization methods were evaluated, and Niblack's method gave the best perf...
Domain Adaptation via Transfer Component Analysis
"... Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature representation across domains is crucial. In this paper, we propose to find such a representation through a new learning met ..."
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Cited by 102 (18 self)
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Domain adaptation solves a learning problem in a target domain by utilizing the training data in a different but related source domain. Intuitively, discovering a good feature representation across domains is crucial. In this paper, we propose to find such a representation through a new learning
Piazza: Data Management Infrastructure for Semantic Web
, 2003
"... The Semantic Web envisions a World Wide Web in which data is described with rich semantics and applications can pose complex queries. To this point, researchers have defined new languages for specifying meanings for concepts and developed techniques for reasoning about them, using RDF as the data mo ..."
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Cited by 166 (12 self)
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local point-to-point data translations, rather than mapping to common mediated schemas or ontologies.
KAoS policy and domain services: Toward a description-logic approach to policy representation, deconfliction, and enforcement
- Proceedings of Policy 2003
, 2003
"... In this paper, we describe our initial implementation of the KAoS policy and domain services. While initially oriented to the dynamic and complex requirements of software agent applications, the services are also being adapted to general-purpose grid computing and web services environments as well. ..."
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Cited by 137 (16 self)
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In this paper, we describe our initial implementation of the KAoS policy and domain services. While initially oriented to the dynamic and complex requirements of software agent applications, the services are also being adapted to general-purpose grid computing and web services environments as well
The Origins of Ontologies and Communication Conventions in Multi-Agent Systems
- Autonomous Agents and Multi-Agent Systems
, 1997
"... The paper proposes a complex adaptive systems approach to the formation of an ontology and a shared lexicon in a group of distributed agents with only local interactions and no central control authority. The underlying mechanisms are explained in some detail and results of some experiments with robo ..."
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Cited by 59 (7 self)
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The paper proposes a complex adaptive systems approach to the formation of an ontology and a shared lexicon in a group of distributed agents with only local interactions and no central control authority. The underlying mechanisms are explained in some detail and results of some experiments
Results 1 - 10
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2,281