Gauging Ontologies and Schemas by Numbers
نویسنده
چکیده
We survey nearly 1300 OWL ontologies and RDFS schemas. The collection of statistical data allows us to perform analysis and report some trends. Though most of the documents are syntactically OWL Full, very few stay in OWL Full when the syntactic errors are fixed. We also report the frequency of occurrences of OWL language constructs and the shape of class hierarchies in the ontologies. Finally, we note that of the largest ontologies surveyed here, most do not exceed the expressivity of ALC.
منابع مشابه
OWLRel: Learning Rich Ontologies from Relational Databases
Mapping between ontologies and relational databases is a necessity in realising the Semantic Web vision. Most of the work concerning this topic has either (1) extracted OWL schemas using a limited range of OWL modelling constructs from relational schemas, or (2) extracted relational schemas from OWL schemas, that represent the OWL schemas as much as possible. By contrast, we propose a general f...
متن کاملIntegrating Ontologies and Thesauri to Build RDF Schemas
In this paper we present a new approach for building RDF schemas by integrating existing ontologies and structured vocabularies (thesauri). We will present a simple mechanism based on the specification of inclusion relationships between thesaurus terms and ontology concepts and show how these relationships can be exploited to create applicationspecific RDF schemas incorporating the structural v...
متن کاملGeneric Multilevel Approach Designing Domain Ontologies based on XML Schemas
Designing an ontology for a specific domain is a time-consuming process. In many cases, information sources like XML Schemas serve as a basis for ontology engineers to conceptualize the intended ontologies. The ontology design process is sped up significantly when XML Schemas are transformed automatically into generated ontologies. An XML Schema Metamodel Ontology has been designed to represent...
متن کاملSemMatcher: A Tool for Matching Ontology-based Schemas
In Peer Data Management Systems (PDMS), each peer is an autonomous source that makes available a local schema. Information exchange occurs through the establishment of schema mappings between local schemas. To help matters, ontologies have been considered as uniform representation of local schemas (i.e., peer ontologies). Consequently, ontology matching techniques have been used to determine sc...
متن کاملBridging Ontologies and Conceptual Schemas in Geographic Information Integration
Integration of geographic information has increased in importance because of new possibilities arising from the interconnected world and the increasing availability of geographic information. Ontologies support the creation of conceptual models and help with information integration. In this paper, we propose a way to link the formal representation of semantics (i.e., ontologies) to conceptual s...
متن کامل