Pellet: A Practical OWL-DL Reasoner

Sirin, Evren; Parsia, Bijan; Grau, Bernardo Cuenca; Kalyanpur, Aditya; Katz, Yarden

doi:10.2139/ssrn.3199351

Cited by 443 publications

(548 citation statements)

References 6 publications

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“…Because dynamic statistics change, we collected both the told (without reasoning), and the inferred (with reasoning) versions. Our method is to load each URI into SWOOP, collect the static statistics and the told dynamic statistics, then turn on the Pellet [13] reasoner and collect the inferred dynamic statistics. We list a few selected categories that are relevant to our discussion in Table 1.…”

Section: Statistics Collectionmentioning

confidence: 99%

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A Survey of the Web Ontology Landscape

Wang

Parsia

Hendler

2006

Lecture Notes in Computer Science

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Abstract. 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 they are syntactically patched by adding type triples. 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 description logic expressivity of ALC.

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Section: Statistics Collectionmentioning

confidence: 99%

“…There has recently been interest in finding useful yet tractable fragments of OWL in the community 13 . Recent proposals for tractable Description Logics include EL + + [1] and DL-Lite [3].…”

Section: Tractable Fragments Of Owlmentioning

confidence: 99%

A Survey of the Web Ontology Landscape

Wang

Parsia

Hendler

2006

Lecture Notes in Computer Science

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“…In the semantic reasoner area, SEDELO implements Pellet [36]. A reasoner is a software tool that allows one to infer logical consequences from a set of asserted facts or axioms [37].…”

Section: System Corementioning

confidence: 99%

SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

et al. 2011

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Automated medical diagnosis systems based on knowledge-oriented descriptions have gained momentum with the emergence of semantic descriptions. The objective of this paper is to propose a normalized design that solves some of the problems which have been detected by authors in previous tools. The authors bring together two different technologies to develop a new clinical decision support system: description logics aimed at developing inference systems to improve decision support for the prevention, treatment and management of illness and semantic technologies. Because of its new design, the system is capable of obtaining improved diagnostics compared with previous efforts. However, this evaluation is more focused in the computational performance, giving as result that description logics is a good solution with small data sets. In this paper, we provide a well-structured ontology for automated diagnosis in the medical field and a three-fold formalization based on Description Logics with the use of Semantic Web technologies.

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“…• dynamic inferencing of new relationships and knowledge via a reasoning engine such as Pellet 32 Previous work has shown that Annotea can easily be extended to enable the annotation of media types other than text. For example, image annotation has been implemented through the additional use of scalable vector graphics; 33 video annotation has been demonstrated within Vannotea.…”

Section: Background and Objectivesmentioning

confidence: 99%

Collaborative Annotation of 3D Crystallographic Models

Hunter

Henderson

Khan

2007

J. Chem. Inf. Model.

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This paper describes the AnnoCryst systema tool that was designed to enable authenticated collaborators to share online discussions about 3D crystallographic structures through the asynchronous attachment, storage, and retrieval of annotations. Annotations are personal comments, interpretations, questions, assessments, or references that can be attached to files, data, digital objects, or Web pages. The AnnoCryst system enables annotations to be attached to 3D crystallographic models retrieved from either private local repositories (e.g., Fedora) or public online databases (e.g., Protein Data Bank or Inorganic Crystal Structure Database) via a Web browser. The system uses the Jmol plugin for viewing and manipulating the 3D crystal structures but extends Jmol by providing an additional interface through which annotations can be created, attached, stored, searched, browsed, and retrieved. The annotations are stored on a standardized Web annotation server (Annotea), which has been extended to support 3D macromolecular structures. Finally, the system is embedded within a security framework that is capable of authenticating users and restricting access only to trusted colleagues.

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Pellet: A Practical OWL-DL Reasoner

Cited by 443 publications

References 6 publications

A Survey of the Web Ontology Landscape

A Survey of the Web Ontology Landscape

SeDeLo: Using Semantics and Description Logics to Support Aided Clinical Diagnosis

Collaborative Annotation of 3D Crystallographic Models

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