The Knowledge Model of Protégé-2000: Combining Interoperability and Flexibility

Noy, Natalya F.; Fergerson, Ray W.; Musen, Mark A.

doi:10.1007/3-540-39967-4_2

Cited by 384 publications

(234 citation statements)

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“…A number of such tools have been developed, i.e. ontology editors [1,2], reasoning systems [3,4] and more recently storage and query systems (e.g. [5]).…”

mentioning

confidence: 99%

Reasoning and change management in modular ontologies

Stuckenschmidt

Klein

2007

Data & Knowledge Engineering

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The benefits of modular representations are well known from many areas of computer science. In this paper, we concentrate on the benefits of modular ontologies with respect to local containment of terminological reasoning. We define an architecture for modular ontologies that supports local reasoning by compiling implied subsumption relations. We further address the problem of guaranteeing the integrity of a modular ontology in the presence of local changes. We propose a strategy for analyzing changes and guiding the process of updating compiled information.Key words: Ontologies, Reasoning, Distributed Knowledge Representation, Change Management MotivationCurrently, research in the area of the semantic web is in a state where ontologies are ready to applied in real applications such as semantic web portals, information retrieval or information integration. In order to lower the effort of building ontology-based applications, there is a clear need for a representational and computational infrastructure in terms of general purpose tools for building, storing and accessing ontologies. A number of such tools have been developed, i.e. ontology editors [1,2], reasoning systems [3,4] and more recently storage and query systems (e.g. [5]). Most of these tools, however,

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“…A number of such tools have been developed, i.e. ontology editors [1,2], reasoning systems [3,4] and more recently storage and query systems (e.g. [5]).…”

mentioning

confidence: 99%

Reasoning and change management in modular ontologies

Stuckenschmidt

Klein

2007

Data & Knowledge Engineering

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“…This approach can be circumvented by normalizing the XML file. This can be done, e.g., by loading the file into a tool such as Protégé [11] and then saving it again as an XML document.…”

Section: Related Workmentioning

confidence: 99%

Watermarking for Ontologies

Suchanek

Gross-Amblard

Abiteboul

2011

Lecture Notes in Computer Science

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Abstract. In this paper, we study watermarking methods to prove the ownership of an ontology. Different from existing approaches, we propose to watermark not by altering existing statements, but by removing them. Thereby, our approach does not introduce false statements into the ontology. We show how ownership of ontologies can be established with provably tight probability bounds, even if only parts of the ontology are being re-used. We finally demonstrate the viability of our approach on real-world ontologies.

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“…Protégé's view components provide a user interface to display and manipulate the underlying model. Protégé's model is based on a simple yet flexible metamodel (Noy et al 2000), which is comparable to object-oriented and frame-based systems. It basically can represent ontologies consisting of classes, properties (slots), property characteristics (facets and constraints), and instances.…”

Section: Protégémentioning

confidence: 99%