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General

Full name of the tool HyQue
Description of the tool HyQue is a system that uses Semantic Web technologies to evaluate formalized hypotheses against experimental data through a combination of SPARQL queries and evaluation rules
Link to the tool http://hyque.semanticscience.org/
Tool home page http://hyque.semanticscience.org/
Download page
Author Alison Callahan, Nigam Shah, Michel Dumontier
Contact michel.dumontier@gmail.com
Institutional sponsor Carleton University
Last version
License
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Exploration

Find ontologies with specific domain coverage No
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Compare domain coverage across ontologies No
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Assess or characterize breadth of domain coverage of an ontology No
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Assess or characterize depth or detail of domain coverage of an ontology No
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Assess or characterize use considerations of ontology including licensing, training, cost, updating, software requirements, and security No
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Assess complexity of concept definitions (necessary and sufficient properties) and use of axioms No
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Identify number and ratio of concepts, relations, and subclassing No
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Identify frequency of use of ontology language features in an ontology No
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Identify age and use statistics of an ontology and its versions No
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Assess the inferencing power of an ontology Yes
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Rate ontologies on their popularity or review feedback No
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Other ontology quality and fitness support for exploration phase (describe capability) HyQue uses ontologies to organize and reason about the underlying linked data sources

Management

Distinguish between conceptual and operational ontologies and objectives No
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Generate ontology application and performance requirements Yes
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Organize and track the life cycle requirements and progression of an ontology No
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Organize and maintain a collection of related ontologies and ontology modules Yes
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Provide statistics on ontology versioning and use No
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Guide ontology development per a quality assurance methodology No
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Assess the reusability of a planned ontology No
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Other ontology quality and fitness support for management phase (describe capability)

Design

Does HyQue guide formulation of ontology requirements?
Guide formulation of domain scope and detail requirements No
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Guide formulation of goodness of design requirements No
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Guide formulation of data and information requirements No
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Guide formulation of semantic and reasoning requirements No
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Guide formulation of interface requirements No
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Guide formulation of level of effort requirements No
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Facilitate framing a set of competency questions exemplifying ontology objectives No
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Choose metaphysical methodology No
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Does HyQue allow one to choose an extant ontology for reuse?
Choose extant top ontology for reuse No
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Choose extant core ontologies for reuse No
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Apply a style of ontological analysis to design No
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Guide design to optimize normalization, factoring, and simplicity of ontology No
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Guide application of open world or closed world semantics No
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Guide ontology design to achieve inferencing requirements No
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Guide ontology design to achieve scalability requirements No
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Enable adjustable query and inference performance No
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Does HyQue offer design patterns based on current ontology or design context?
Offer application patterns based on current ontology or design context No
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Offer ontology language patterns based on current ontology or design context No
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Offer methodology patterns based on current ontology or design context No
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Offer other patterns based on current ontology or design context No
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Integrate selected design patterns into an ontology design No
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Assess correctness or performance of an ontology design No
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Guide and facilitate modularization of ontology No
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Guide ontology design for visualization No
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Other ontology quality and fitness support for design phase (describe capability)

Build

General Development

Does HyQue allow one to choose an ontology language?
Choose ontology language No
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Choose formal logic language No
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Choose RDF support Yes
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Mix ontology languages No
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Generate ontology code from requirements specification No
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Generate or enforce selected design patterns in ontology code No
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Feedback on consistency of granularity and regularity of domain ontology structure No
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Manage lexical naming and annotation of ontology elements No
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Ensure proper use and coding of RDF and Web resources Yes
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Enforce proper use and coding of URIs Yes
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Produce the current terminological inferences of an ontology Yes
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Optimize query and inference performance Yes
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Detect violations of domain, referential, or semantic integrity Yes
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Overall, detect and correct coding errors or inconsistencies No
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Other ontology quality and fitness support for build phase (describe capability)

Concept Development

Ensure proper separation and coding of concepts and facts No
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Ensure kind-of nature and consistency of subclassing Yes
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Guide subclass versus class individual determinations No
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Monitor depth of subclassing consistency across a domain ontology No
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Generate prototypical instances (individuals) to help verify class intent and class subsumption No
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Detect and guide use of multiple inheritance No
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Guide use of disjointness axioms No
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Guide use of necessary and sufficient properties in concept definitions No
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Guide use of existential versus universal quantification in class restrictions No
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Enforce proper use of conjunctions versus disjunctions No
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Relationship Development

Ensure proper use and coding of relations No
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Ensure proper use and coding of data types No
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Assess and enforce consistency and completeness of range and domain constraints No
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Assess and enforce consistency and completeness of inverse relations No
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Ensure proper use and coding of transitive relations No
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Validation

Verify that ontology requirements are met No
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Can HyQue assess query performance?
Assess query precision and recall performance No
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Assess query time performance No
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Can HyQue assess inference performance?
Assess inferencing time performance No
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Assess inferencing completeness performance No
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Generate characteristic queries and tests No
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Accept validation test sets or inputs No
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Can HyQue assure computability of ontology?
Assure semantically adequate computability of ontology No
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Assure mathematically complete computability of ontology No
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Verify that two ontologies are interoperable No
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Validate the intended functionality of software using the ontology No
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Validate instance data conforming to an ontology No
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Assess accuracy, correctness, and completeness of ontology terminological content No
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Guide or adjust ontology in accord with validation results No
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Other ontology quality and fitness support for validation phase (describe capability)

Integration and Use

Export ontology in different languages No
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Integrate ontology with other ontologies Yes
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Integrate ontology with other information system resources Yes
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Assess or track user experience with ontology No
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Enable user to modify or extend ontology to address deficiencies No
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Create mappings from ontologies to and from data and data sources Yes
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Other ontology quality and fitness support for integration and use phase (describe capability)

Maintenance

Promote reuse of ontology Yes
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Capture ontology errors during use No
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Profile use of ontology elements during use No
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Compare and map between ontologies No
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Track ontology changes and control versions No
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Other ontology quality and fitness support for maintenance phase (describe capability)