Corpus ID: 57542951

OWL 2 Web Ontology Language Primer (Second Edition)

@inproceedings{Hitzler2012OWL2W,
  title={OWL 2 Web Ontology Language Primer (Second Edition)},
  author={P. Hitzler and M. Kr{\"o}tzsch and B. Parsia and P. Patel-Schneider and S. Rudolph},
  year={2012}
}
The OWL 2 Web Ontology Language, informally OWL 2, is an ontology language for the Semantic Web with formally defined meaning. OWL 2 ontologies provide classes, properties, individuals, and data values and are stored as Semantic Web documents. OWL 2 ontologies can be used along with information written in RDF, and OWL 2 ontologies themselves are primarily exchanged as RDF documents. The OWL 2 Document Overview describes the overall state of OWL 2, and should be read before other OWL 2 documents… Expand
Ontology languages and Geospatial Semantic Web
TLDR
This chapter introduces ontology languages -- RDF and OWL and introduces knowledge about ontology-based reasoning and rule-based knowledge inference. Expand
Automatic Generation of OWL Ontology from XML Data Source
TLDR
A new method for automatic generation of OWL ontology from XML data sources is presented, which supports efficient reasoning and expressive power. Expand
Inference rules for RDF(S) and OWL in N3Logic
TLDR
This paper presents inference rules for Resource Description Framework, RDF Schema (RDFS) and Web Ontology Language and proposes OWL-P that is a lightweight formalism of OWL and supports soft inferences by omitting complex language constructs. Expand
Mapping the Web Ontology Language to the OpenAPI Specification
TLDR
This work defines a mapping specification between the Web Ontology Language (OWL) and the OpenAPI Specification (OAS) to provide ontology-based API definitions in a language well-known to web developers and developed a reference mapping implementation that automatically transforms OWL ontologies into OpenAPI specifications in a matter of seconds. Expand
OWL 2 learn profile: an ontology sublanguage for the learning domain
TLDR
The analysis of a corpus of 14 ontologies designed for the learning domain suggests that the OWL 2 constructors used in these ontologies do not exactly match the standard OWL 1 RL profile, but form a subset of that profile which the authors call OWL2 Learn. Expand
Transforming XML Schema to OWL Using Patterns
TLDR
This paper presents a set of patterns that enable the direct, automatic transformation from XML Schema into OWL allowing the integration of much XML data in the Semantic Web. Expand
Towards an OWL 2 Profile for Defining Learning Ontologies
TLDR
OWL 2 Learn is proposed, a profile of OWL 2 that is expressive enough for specifying all those ontologies in the corpus with minor modifications that can offer guidance on selecting appropriate constructors for developing an OWL2 ontology for the learning and education domain. Expand
G-OWL: A Complete Visual Syntax for OWL 2 Ontology Modeling and Communication
Semantic web ontologies are usually modeled using standard text-based syntaxes such as OWL/XML, Functional, Manchester or Turtle. Over recent years, there has been an increasing need for representingExpand
Mining XML Schemas to Extract Conceptual Knowledge
TLDR
This chapter presents a set of patterns that enable the automatic transformation from XML Schema into RDF and OWL, enabling the direct use of much XML data in the Semantic Web. Expand
Lexical Meaning Formal Representations Enhancing Lexicons and Associated Ontologies
TLDR
A new technique aimed at improvement of lexicon-to-ontology mapping technology is integrated within the Ontolex-Lemon lexicon model by supplying a lexical concept of an ontology class with a description logic based formal definition. Expand
...
1
2
3
4
5
...

References

SHOWING 1-5 OF 5 REFERENCES
OWL 2 Web Ontology Language Mapping to RDF Graphs
TLDR
This document defines the mapping of OWL 2 ontologies into RDF graphs, and vice versa, and it is suggested that this document be read before other OWL2 documents. Expand
Tractable Reasoning and Efficient Query Answering in Description Logics: The DL-Lite Family
TLDR
It is shown that, for the DLs of the DL-Lite family, the usual DL reasoning tasks are polynomial in the size of the TBox, and query answering is LogSpace in thesize of the ABox, which is the first result ofPolynomial-time data complexity for query answering over DL knowledge bases. Expand
Key words for use in RFCs to Indicate Requirement Levels
TLDR
This document defines these words as they should be interpreted in IETF documents as well as providing guidelines for authors to incorporate this phrase near the beginning of their document. Expand
http://www.w3.org/TR/2012/REC-xmlschema11-2-20120405/. Latest version available as http://www.w3.org/TR/ xmlschema11-2/. OWL 2 Web Ontology Language Primer (Second Edition) W3C Recommendation
  • W3C Recommendation,
  • 2012
Ph
  • 1989