An overview of ontologies and data resources in medical domains
•The state of the art in biomedical terminologies, ontologies and resources.•Tools and environments for knowledge integration/management in medical domains.•Useful for novices in multi(inter)disciplinary research in medicine/biology/informatics.•Presented material is interesting for industry and aca...
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| Veröffentlicht in: | Expert systems with applications 2014-09, Vol.41 (11), p.5158-5166 |
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| container_title | Expert systems with applications |
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| creator | Ivanović, Mirjana Budimac, Zoran |
| description | •The state of the art in biomedical terminologies, ontologies and resources.•Tools and environments for knowledge integration/management in medical domains.•Useful for novices in multi(inter)disciplinary research in medicine/biology/informatics.•Presented material is interesting for industry and academia in medicine and biology.
The ongoing rapid growth of diversity of data and their wide use to solve different complex tasks requires more sophisticated techniques of knowledge management and automated reasoning. Recent research efforts resulted in a significant number of semantic reference systems enriched with vocabularies, thesauri, terminologies, and ontologies. The extensive use of ontologies in the mainstream computer science has spread to many other branches of knowledge. These branches are included in a new approach to building modern intelligent systems, reusing and sharing pieces of declarative knowledge.
In the meanwhile, a lot of effort has been made to produce standard ontologies for medicine and biology.
This paper brings an overview and presentation of the state of the art in terminologies, ontologies and important resources/systems and tools for industry and academia in medicine and biology. It could be useful for researchers involved in multidisciplinary and interdisciplinary research areas and projects that include medicine, biology, and information technology. |
| doi_str_mv | 10.1016/j.eswa.2014.02.045 |
| format | Article |
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The ongoing rapid growth of diversity of data and their wide use to solve different complex tasks requires more sophisticated techniques of knowledge management and automated reasoning. Recent research efforts resulted in a significant number of semantic reference systems enriched with vocabularies, thesauri, terminologies, and ontologies. The extensive use of ontologies in the mainstream computer science has spread to many other branches of knowledge. These branches are included in a new approach to building modern intelligent systems, reusing and sharing pieces of declarative knowledge.
In the meanwhile, a lot of effort has been made to produce standard ontologies for medicine and biology.
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The ongoing rapid growth of diversity of data and their wide use to solve different complex tasks requires more sophisticated techniques of knowledge management and automated reasoning. Recent research efforts resulted in a significant number of semantic reference systems enriched with vocabularies, thesauri, terminologies, and ontologies. The extensive use of ontologies in the mainstream computer science has spread to many other branches of knowledge. These branches are included in a new approach to building modern intelligent systems, reusing and sharing pieces of declarative knowledge.
In the meanwhile, a lot of effort has been made to produce standard ontologies for medicine and biology.
This paper brings an overview and presentation of the state of the art in terminologies, ontologies and important resources/systems and tools for industry and academia in medicine and biology. It could be useful for researchers involved in multidisciplinary and interdisciplinary research areas and projects that include medicine, biology, and information technology.</description><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Biological and medical sciences</subject><subject>Biology</subject><subject>Biomedical resources and systems</subject><subject>Computer science; control theory; systems</subject><subject>Computerized medical documentation</subject><subject>Computerized, statistical medical data processing and models in biomedicine</subject><subject>Construction</subject><subject>Enrichment</subject><subject>Exact sciences and technology</subject><subject>Information systems. Data bases</subject><subject>Learning and adaptive systems</subject><subject>Medical</subject><subject>Medical sciences</subject><subject>Medical terminologies</subject><subject>Medicine</subject><subject>Memory organisation. Data processing</subject><subject>Ontologies</subject><subject>Semantics</subject><subject>Software</subject><subject>Spreads</subject><subject>Terminology</subject><issn>0957-4174</issn><issn>1873-6793</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><recordid>eNp9kF1LwzAUhoMoOKd_wKveCN60Jm3atCDIEL9g4I1eh5PkRDLaZibdhv_ejA0vvTpweD94H0KuGS0YZc3dqsC4g6KkjBe0LCivT8iMtaLKG9FVp2RGu1rknAl-Ti5iXFHKBKViRh4WY-a3GLYOd5m3mR8n3_svhzGD0WQGJsgCRr8JOr3cmA1onIY-M34AN8ZLcmahj3h1vHPy-fz08fiaL99f3h4Xy1xXTTXlvKpb1MYoJZhiqdsyBcigaTQ3Aq2qGShqLdQCjGhUSU2ra9spWmkFKWJObg-56-C_NxgnObiose9hRL-JkjWC8YbTkiVpeZDq4GMMaOU6uAHCj2RU7mnJldzTkntakpYy0Uqmm2M-xDTPBhi1i3_OsuVVW_Iu6e4POkxjE7Qgo3Y46kQloJ6k8e6_ml9PooDl</recordid><startdate>20140901</startdate><enddate>20140901</enddate><creator>Ivanović, Mirjana</creator><creator>Budimac, Zoran</creator><general>Elsevier Ltd</general><general>Elsevier</general><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20140901</creationdate><title>An overview of ontologies and data resources in medical domains</title><author>Ivanović, Mirjana ; Budimac, Zoran</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c363t-4358ecddbb71b1170f1bae1a66c4d7efb51ab0ffa57ad76b20d8c5f9b03cba363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Biological and medical sciences</topic><topic>Biology</topic><topic>Biomedical resources and systems</topic><topic>Computer science; control theory; systems</topic><topic>Computerized medical documentation</topic><topic>Computerized, statistical medical data processing and models in biomedicine</topic><topic>Construction</topic><topic>Enrichment</topic><topic>Exact sciences and technology</topic><topic>Information systems. Data bases</topic><topic>Learning and adaptive systems</topic><topic>Medical</topic><topic>Medical sciences</topic><topic>Medical terminologies</topic><topic>Medicine</topic><topic>Memory organisation. Data processing</topic><topic>Ontologies</topic><topic>Semantics</topic><topic>Software</topic><topic>Spreads</topic><topic>Terminology</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ivanović, Mirjana</creatorcontrib><creatorcontrib>Budimac, Zoran</creatorcontrib><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Expert systems with applications</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ivanović, Mirjana</au><au>Budimac, Zoran</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An overview of ontologies and data resources in medical domains</atitle><jtitle>Expert systems with applications</jtitle><date>2014-09-01</date><risdate>2014</risdate><volume>41</volume><issue>11</issue><spage>5158</spage><epage>5166</epage><pages>5158-5166</pages><issn>0957-4174</issn><eissn>1873-6793</eissn><abstract>•The state of the art in biomedical terminologies, ontologies and resources.•Tools and environments for knowledge integration/management in medical domains.•Useful for novices in multi(inter)disciplinary research in medicine/biology/informatics.•Presented material is interesting for industry and academia in medicine and biology.
The ongoing rapid growth of diversity of data and their wide use to solve different complex tasks requires more sophisticated techniques of knowledge management and automated reasoning. Recent research efforts resulted in a significant number of semantic reference systems enriched with vocabularies, thesauri, terminologies, and ontologies. The extensive use of ontologies in the mainstream computer science has spread to many other branches of knowledge. These branches are included in a new approach to building modern intelligent systems, reusing and sharing pieces of declarative knowledge.
In the meanwhile, a lot of effort has been made to produce standard ontologies for medicine and biology.
This paper brings an overview and presentation of the state of the art in terminologies, ontologies and important resources/systems and tools for industry and academia in medicine and biology. It could be useful for researchers involved in multidisciplinary and interdisciplinary research areas and projects that include medicine, biology, and information technology.</abstract><cop>Amsterdam</cop><pub>Elsevier Ltd</pub><doi>10.1016/j.eswa.2014.02.045</doi><tpages>9</tpages></addata></record> |
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| ispartof | Expert systems with applications, 2014-09, Vol.41 (11), p.5158-5166 |
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| source | Elsevier ScienceDirect Journals |
| subjects | Applied sciences Artificial intelligence Biological and medical sciences Biology Biomedical resources and systems Computer science control theory systems Computerized medical documentation Computerized, statistical medical data processing and models in biomedicine Construction Enrichment Exact sciences and technology Information systems. Data bases Learning and adaptive systems Medical Medical sciences Medical terminologies Medicine Memory organisation. Data processing Ontologies Semantics Software Spreads Terminology |
| title | An overview of ontologies and data resources in medical domains |
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