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HRI - MIIO

Medical Imaging Informatics Ontology (MIIO)

Ontology Knowledge Mapping

The Institute for Formal Ontology and Medical Information Science (IFOMIS): comprehends an interdisciplinary research group, with members from Philosophy, Computer and Information Science, Logic, Medicine, and Medical Informatics, focusing on theoretically grounded research in both formal and applied ontology. Its goal is to develop a formal ontology that will be applied and tested in the domain of medical and biomedical information science. The institute is at Saarland University in Germany. Prof. Barry Smith from Department of Philosophy at State University of New York, services as the research director.

http://www.ifomis.org/

Basic Formal Ontology (BFO) is in a philosophical orientation which overlaps with that of DOLCE and SUMO. It focues on the task of providing a genuine upper ontology which can be used in support of domain ontologies developed for scientific research, special sciences domains.

http://www.ifomis.org/bfo

BFO provides implementation and view tools inlcuding

    • OWL - Descriptionlogic based implementation in version 1.0 and 1.1
    • Isabelle -First-order logic based implementation
    • OBO - automatically converted (CIG based, developed LBNL Bioinformatics) from the OWL implementation, version 1.0 and 1.1
    • CLIF version of BFO merged with RO
    • Overview and TreeView version 1.0 and 1.1

Domain Ontologies

OBO Foundry The OBO Foundry is a collaborative experiment involving developers of science-based ontologies who are establishing a set of principles for ontology development with the goal of creating a suite of orthogonal interoperable reference ontologies in the biomedical domain. In addition to a listing of OBO ontologies, this site also provides a statement of the OBO Foundry principles, discussion fora, technical infrastructure, and other services to facilitate ontology development.

OBO's OBO-Ontology-Edior in Java is useful tool for ontology editing.

http://www.obofoundry.org/

Buffalo Ontology is also an important site which reflects the state-of-the-art of ontology research and applications. Buffalo ontology site's catalog four items: history of ontology, ontological engineering, contemporary ontology, and biomedical ontology, each of which has many useful links in either theoretical and practical ontologies.

http://ontology.buffalo.edu/


International Conference on Formal Ontology (FOIS) is intended to be a forum in which to explore this interplay between the theoretical insights of formal ontology and their application to information systems and emerging semantic technologies fore the research communities as philosophy, logic, computer science, cognitive science, linguistics, and various scientific domains.

http://www.formalontology.org/

Ontology Online developed jOWL search engine powered by TomCat and mySQL to feature semantic Web application for collecting concetps online.

http://ontologyonline.org/

W3C-Sementic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. It is a collaborative effort led by W3C with participation from a large number of researchers and industrial partners. It is based on the Resource Description Framework (RDF). Within the Sementic Web, Web Ontology Language OWL is a semantic markup language for publishing and sharing ontologies on the World Wide Web. OWL is developed as a vocabulary extension of RDF (the Resource Description Framework) and is derived from the DAML+OIL Web Ontology Language. The W3C Web site provides the document contains a structured informal description of the full set of OWL language constructs and is meant to serve as a reference for OWL users who want to construct OWL ontologies.

http://www.w3.org/2001/sw/
http://www.w3.org/TR/owl-ref/

Language & Computing provides a comprehensive Natural Language Processing solution to meet the needs of a broad range of industries: healthcare information providers, and health care systems developers. They offer a significant benefit in terminology/ontology and knowledge management (content management, search and retrieval, information extraction, text mining, Semantic Web). L&C’s NLP technology to address a variety of healthcare and business needs. For example, L&C’s LinKBase, contains millions of medical terms and concepts, one of the world’s largest and most comprehensive ontology knowledgebase.  

http://www.landcglobal.com/

 

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