Difference between revisions of "Protege Ontology Library"

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OWL ontologies

Information on how to open OWL files from the Protege-OWL editor is available on the main Protege Web site. See the Creating and Loading Projects section of the Getting Started with Protege-OWL Web page. Other ways to search for OWL ontologies include using Google: http://www.google.com/search?q=filetype:owl+owl, or the new Semantic Web search engine called Swoogle.

• AIM@SHAPE Ontologies: Ontologies pertaining to digital shapes. Source: AIM@SHAPE NoE - Advanced and Innovative Models And Tools for the development of Semantic-based systems for Handling, Acquiring, and Processing knowledge Embedded in multidimensional digital objects.

• amino-acid.owl: A small OWL ontology of amino acids and their properties. Source: Amino Acid Ontology Web site.

• Basic Formal Ontology (BFO)

• bhakti.owl: An OWL ontology for the transcendental states of consciousness experienced by practitioners of bhakti-yoga, a form of Vedic consciousness engineering.

• Biochemical Ontologies: Over 30 ontologies for knowledge representation and reasoning across scientific domains. Ontologies are normalized into non-disjoint primitive skeletons and complex class expressions for DL reasoning. Ontologies describe atoms, bonds, molecules, macromolecules and the processes they participate in.

• BioPAX: An OWL ontology for biological pathways, which is primarily used to exchange data between pathway resources.

• BIRNLex: An ontology created by and for the Biomedical Informatics Research Network (BIRN) in order to provide a shared semantic framework in which to annotate BIRN data related to multi-resolutional, cross-species studies of neurodegenerative disease. BIRNLex follows the OBO Foundry best practices and makes use of other OWL-based OBO ontologies.

• BreastCancerOntology: An OWL ontology for describing some features of Breast Cancer; Basic model is stable, but still being fleshed out.

• camera.owl: An OWL ontology about the individual parts of a photo camera. Source: XFront OWL Tutorial.

• camera2.owl: An improved OWL camera ontology based on above one from Roger L. Costello. Contributed by Igor Bessmertnyy.

• Cardiology.owl: An ontology to present various cardiology diseases, their symptoms, tests, and complications. Contributed by Rishi.

• Cell Cycle Ontology (CCO): An application ontology for the cell cycle process.

• CN Ontology: An OWL ontology presenting the concepts used in collaborative networked organizations with focus on Virtual Organizations Breeding Environment.

• consciousness1.owl: An OWL ontology showing the transcendental background for consciousness according to the ancient Vedic literature.

• countries.owl: The ISO 3166 Code List of countries. Contributed by Dieter E. Jenz.

• Daycare.swrl.owl: A demo ontology about a childcare center showing the use of SWRL for reasoning. Contributed by Jane Peace.

• Delegation Ontology: An OWL ontology to describe delegation concepts in the context of Grid computing.

• Dependable Systems Ontology: Ontology about resilient and dependable systems including threats, failures, faults and errors as used in the ReSIST project.

• Dietas: Esto es una ontología en OWL no terminada que simula un dietista.

• DOLCE: The Dolce foundational ontology and its extensions provide a domain-independent framework to build ontologies on the basis of highly-reusable patterns. Contributed by Aldo Gangemi.

• Education Ontology: Ontology for the Minnesota Department of Education based on the National Information Exchange Model (NIEM) structures and ISO/IEC 11179 standards. This domain includes information about K-12 students, teachers, schools, districts, enrollments, assessments, USDA food and nutrition programs, and on-line courses. Includes approximately 400 data elements. A case study will be presented at the Semantic Technology conference in March 2006. Feedback -> http://www.danmccreary.com.

• EHROntology: An Electronic Health Records ontology based on openEHR work. Contributed by Isabel Roman Martinez.

• Einstein's riddle (Zebra puzzle): formulation of the puzzle in ALCOIF Description Logic, just classify the ontology in Protege and get a solution by clicking on individuals.

• ESG: An ontology describing very large simulation datasets and related information for climate sciences such as those found in the Earth System Grid project. Contributed by Line Pouchard.

• family.swrl.owl: A SWRL/OWL demo ontology about family relationships . Contributed by Christine Golbreich.

• Federal Enterprise Architecture Reference Model Ontology (FEA-RMO): Representation of Federal Enterprise Architecture in OWL.

• Finance: an ontology on financial instruments, involved parties, processes and procedures in securtities handling. Contributed by Eddy Vanderlinden.

• fgdc-csdgm.owl: Ontology for Content Standard for Digital Geospatial Metadata (CSDGM) of Federal Geographic Data Committee (FGDC). Contributed by Akm Saiful Islam, Bora Beran, Volkan Yargici, and Michael Piasecki.

• fsm.owl: A simple ontology for finite state machines. Contributed by Peter Dolog.

• FOAF Ontology: An ontology describes people, the links between them and the things they create and do. Contributed by Dan Brickley and Libby Miller.

• generations.owl: An ontology about family relationships that demonstrates classification. Contributed by Matthew Horridge.

• Geographic Information Metadata - ISO 19115: An ontology representing Geographic Information Metadata - (ISO 19115).

• hu.owl: A hierarchic division of hydrologic units. Contributed by Luis Bermudez.

• Infrastructure Product Ontology: An OWL ontology for utility infrastructure products, their attributes, mechanisms, and measures. Products span all five sectors of utilities (Water, Wastewater, Gas, Electricity, and Telecom).

• iso-metadata.owl: Several ISO Geographic Information Ontologies developed with the Protege-OWL editor. Contributed by Akm Saiful Islam, Bora Beran, Luis Bermudez, Stephane Fellah & Michael Piasecki.

• ka.owl: Defines concepts from academic research. Contributed by Ian Horrocks.

• koala.owl: A simple ontology about humans and marsupials. Contributed by Holger Knublauch.

• leo.owl: A simple ontology about life events within e-Government. Contributed by Domen Cukjati.

• LKIF Core: A core ontology of basic legal concepts. Contributed by Rinke Hoekstra.

• Mahabarata Ontology — An ontology based on one of the epic stories of ancient India Mahabarata. This ontology is developed by ontology research team at AIDB lab, IIT-Madras. Contributed by Vinu E.V and Subhashree S.

• Monetary_ontology_0.1d.zip: A zipped Protégé project of an ontology for currency creation and use. Also contains an "owl". The objective is an active description of all forms of "money" from barter to clearing systems, from precious metal coinage to debt-based fiat. It is oriented towards designers of payment systems and community currency systems. Here is a preview GIF image ! First begun 2008/05/04 and last updated 2008/05/12. v0.0 Contributed by Martin "Hasan" Bramwell

• MGEDOntology.owl: An ontology for microarray experiments in support of MAGE v.1. Source: MGED Society.

• MR-MPS-SW : Enterprise Ontologies as a complementary tool to support the adoption of software process quality models. The model selected for this work was the Reference Model MPS for software development (RM-MPS-SW), which is part of the Brazilian Software Process Improvement Program (MPS.BR). The RM-MPS-SW was developed focusing micro, small and medium-sized enterprises (MSMEs), although it is completely suited to large organizations. In this context, this work presents a methodology for the ontology development on the levels G and F of the RM-MPS-SW. Concepts of the PMBOK (Project Management Body of Knowledge) are included to support adherence to its principle by software companies. The inclusion of BSC (Balanced Scorecard) indicators approximates the model with the strategic planning of the company. The intention is that this methodology can be used as a basis for the representation of the other MPS-SW levels and other software process models.

• NCI Thesaurus: A huge ontology developed by the National Cancer Institute (NCI). Source: NCI Enterprise Vocabulary Services.

• New Testament Names: A semantic knowledge base describing named things (people, places, and other classes) in the New Testament, as well as their attributes and relationships. It includes both an ontology and a substantial amount of instance data. NTNames is part of SemanticBible.org.

• not-galen.owl: A selective adaptation made in 1995 of an early prototype GALEN model; content is not related to or representative of any current or historical OpenGALEN release. Contributed by Ian Horrocks.

• office-env1.owl,office-env2.owl: Ontologies for office environment. Contributed by Prakash Kadel

• OGC: Ontology for Geography Markup Language (GML3.0) of Open GIS Consortium (OGC). Contributed by Contributors: Zafer Defne, Akm Saiful Islam and Michael Piasecki.

• OMG - Meta Object Facility: Ontology representation of the OMG-MOF generated from the OMG Specification (XMI).

• OMG - MOF - Query, View, and Transformations: Ontology representation of the OMG-MOF-QVT generated from the OMG Specification (XMI).

• OMG - Ontology Definition Metamodel (ODM): Ontology representation of the OMG-ODM generated from the OMG Specification (XMI).

• OMG - Unified Modeling Language (UML2): Ontology representation of the OMG-UML2 generated from the OMG Specification (XMI).

• OntoClean: Representation of OntoClean meta-properties and corresponding constraints as a Protege ontology and a set of PAL constraints.

• OntoTool: An ontology that is used to model Task and Tool features for project realization. This ontology contains essential concepts about the relationship between task and tool and frequently asked questions about tool identification.

• OSM - Ontology for Support and Management: An ontology that contains all constructs required for the various versions of the Ontology for Support and Management of pervasive services by using ontology-based policy mechanisms run by IST-Context project and the research extensions towards Onto-Context framework to demonstrate advantages when context information is used for controlling management operations.

• people+pets.owl: From the ISWC03 tutorial on OWL by Sean Bechhofer, Ian Horrocks, and Peter Patel-Schneider.

• Petrinet Semantic Web Infrastructure: Contributed by Dragan Gasevic.

• PhiloSurfical ontology: An ontology which extends CIDOC-CRM and describes various dimensions normally associated to the philosophical domain (people, documents, ideas, events). Contributed by Michele Pasin, in the context of the PhiloSURFical project.

• Pizzas: The OWL ontology used in the Protege-OWL Tutorial. Contributed by The CO-ODE Project.

• Pr/T net Ontology: An ontology for high-level Petri nets.

• PPOntology: An OWL ontology for cereal plant protection. Currently, it is developed to encompass the field of diagnosis and treatment of barley disorders.

• Protein Ontology: Protein Ontology or PO provides a unified vocabulary for capturing declarative knowledge about protein domain and to classify that knowledge to allow reasoning. Contributed by Amandeep S. Sidhu.

• SaOn-Software Application Ontology: An example ontology for searching, retrieving and using software applications, components.

• shuttle-crew-ont.owl: An ontology about the crew from a space shuttle. Source: Dynamic Research Corporation.

• SNP-Ontology: An ontology to represent genomic variations, and related concepts. Contributed by Adrien Coulet.

• Sort Ontology: Sort ontology is a model of ontologies where ontological classes are represented as sorts with the principles of identity and individuation. The model consists of four meta-classes: TypeSort, QuasitypeSort, RoleSort, and PhaseSort. It is intended to enrich the semantics of ontological classes by embedding abstract-level domain independent knowledge (called meta-knowledge) into OWL ontologies.

• Surface-Water-Model-Ontology: An ontology for surface water and water quality models currently exists based on the list provided SMIC, US Geological Survey using Protege. Contributed by Akm Saiful Islam.

• SVECore.owl: A core ontology for developing 3D Semantic Virtual Environments and a simple Domain Specific Ontology for creating a virtual bar (DSOBar.owl). Contributed by Francisco Grimaldo.

• SWEET Ontologies: A Semantic Web for Earth and Environmental Terminology. Source: Jet Propulsion Laboratory.

• tambis-full.owl: A biological science ontology developed by the TAMBIS project. Contributed by Ian Horrocks.

• Tool and Task: An ontology that is used to model Task and Tool features for project realization. Contributed by Marek Szlezak.

• travel.owl: A tutorial OWL ontology for a Semantic Web of tourism. Contributed by Holger Knublauch.

• AMEEN/Desktop/Documents/university ontology/index.html University Ontology.owl: University Ontology containing the details of working of university. Special focus is given to various courses offered by university.Object properties and data types properties are created for further understanding.Restrictions are added for pursuing a course of study depending on the current course of student.Contributed by [a.ameen@deccancollege.ac.in Ayesha Ameen]

• Videogame's Elements Ontology: A videogame's elements ontology that is used to model different videogame's properties like playability. Contributed by José Luis González University of Granada, Spain.

• WebOfPatterns: An OWL ontology for object-oriented software design. Used to represent design patterns, a Java client exists that can download these descriptions and scan code for pattern instances.

• wine.owl: An ontology of wines (demonstrates project inclusion). Original source: WebOnt OWL Guide.

• Wood Ontology — Contributed by Muhammad Abulaish and Lipika Dey.
  
  

Frame-based ontologies

In the context of this page, the phrase "frame-based ontologies" loosely refers to ontologies that were developed using the Protege-Frames editor. For more information on how to open an ontology from the Protege-Frames editor, see the Protege-Frames User's Guide.

• Biological Processes: A knowledge model of biological processes and functions that is graphical, for human comprehension, and machine-interpretable, to allow reasoning.

• CEDEX: Representation of CEDEX in Protege. CEDEX is a base ontology for exchange and distributed use of ecological data.

• Dublin Core: Representation of Dublin Core metadata in Protege.

• Engineering ontologies: A set of ontologies for representing systems, their decomposition, connections, requirements and constraints

• GandrKB (Gene annotation data representation): An ontology and knowledge base describing gene functions enabling biologists to annotate (multiple) genes on Affymetrix Microarrays per simple drag and drop. Annotation-concepts and genes can be linked for fast and intuitive context-exploration and extensive querying. Generated gene annotations can be interactively explored as semantic networks with advanced visualisation tools. Contributed by Daniel Schober.

• GeneOntologyInProtege: Knowledge acquisition, consistency checking, and concurrency control in Gene Ontology.

• Guideline Interchange Format (GLIF): Representation of GLIF in Protege.

• Health Level 7 Data Types and Top-Level RIM Classes: A Protege representation of the HL7 version 3 data types and top-level classes of the Reference Information Model. Contributed by Samson Tu.

• HELEN: The HELEN Guideline representation ontology.

• HL7-RIM: HL7-RIM as a Protege ontology. Contributed by Bhavna Orgun.

• IPTC Subject Reference System: RDF Schema and Protege ontology representations of the Subject Reference System.

• OntoClean: Representation of OntoClean meta-properties and corresponding constraints as a Protege ontology and a set of PAL constraints.

• Personal Computer - Do It Yourself (PC-DIY): An ontology which contains essential concepts about the personal computer and frequently asked questions about Personal Computer - Do It Yourself.

• Resource-Event-Agent Enterprise (REA): An ontology that is used to model economic aspects of e-business frameworks (e.g. in ebXML) and enterprise information systems.

• Science Ontology: A modified version of the KA² ontology describing research-related information.

• Suggested Upper Merged Ontology (SUMO): An ontology developed within the IEEE Standard Upper Ontology Working Group with the goal of developing a standard ontology that will promote data interoperability, information search and retrieval, automated inferencing, and natural language processing.

• The Uniform Problem-solving Method development Language (UPML): An ontology and editor for modeling libraries of reusable (i.e., generic and adaptable) components of knowledge-based systems, namely tasks, problem-solving methods and domain models.

• Instituto Kuluwulu: This is a model to check the reliability of the Wiki Ontology Library. Sorry for this, but we had to do it XD. Por favor no tomen represalias, solo somos estudiantes con ganas de chequear este wiki. We love ontologies.

• Institutional ontology: Institutional Ontology is a model of a University/ Institute. This ontology is based on OWL-DL. Few instances is included to check its performance. Also a file called query.txt containing a list of query is provided. Contributed by Biswanath DuttaDRTC, Bangalore.
  
  

Other ontology formats

• Dublin Core: Representation of Dublin Core metadata in Protege.

• HL7-RIM: HL7-RIM as a Protege ontology. Contributed by Bhavna Orgun.

• IPTC Subject Reference System: RDF Schema and Protege ontology representations of the Subject Reference System.

• Learner: An ontology describing Learner features used for personalization in eLearning systems. Created in the context of EU/IST project Elena.

• Petrinet Semantic Web Infrastructure: Contributed by Dragan Gasevic.

• Resource-Event-Agent Enterprise (REA): An ontology that is used to model economic aspects of e-business frameworks (e.g., in ebXML) and enterprise information systems.

• Universal Standard Products and Services Classification (UNSPSC): A coding system to classify both products and services for use throughout the global marketplace.