�ݺ�ߣshows by User: chimezie

�ݺ�ߣshows by User: chimezie / http://www.slideshare.net/images/logo.gif �ݺ�ߣshows by User: chimezie / Fri, 29 Mar 2024 23:35:50 GMT �ݺ�ߣShare feed for �ݺ�ߣshows by User: chimezie Reference Domain Ontologies and Large Medical Language Models /slideshow/reference-domain-ontologies-and-large-medical-language-modelspptx/267024290 referencedomainontologiesandlargemedicallanguagemodels-240329233550-53c3fbbf
Large Language Models (LLMs) have exploded into the modern research and development consciousness and triggered an artificial intelligence revolution. They are well-positioned to have a major impact on Medical Informatics. However, much of the data used to train these revolutionary models are general-purpose and, in some cases, synthetically generated from LLMs. Ontologies are a shared and agreed-upon conceptualization of a domain and facilitate computational reasoning. They have become important tools in biomedicine, supporting critical aspects of healthcare and biomedical research, and are integral to science. In this talk, we will delve into ontologies, their representational and reasoning power, and how terminology systems such as SNOMED-CT, an international master terminology providing comprehensive coverage of the entire domain of medicine, can be used with Controlled Natural Languages (CNL) to advance how LLMs are used and trained.]]>
Large Language Models (LLMs) have exploded into the modern research and development consciousness and triggered an artificial intelligence revolution. They are well-positioned to have a major impact on Medical Informatics. However, much of the data used to train these revolutionary models are general-purpose and, in some cases, synthetically generated from LLMs. Ontologies are a shared and agreed-upon conceptualization of a domain and facilitate computational reasoning. They have become important tools in biomedicine, supporting critical aspects of healthcare and biomedical research, and are integral to science. In this talk, we will delve into ontologies, their representational and reasoning power, and how terminology systems such as SNOMED-CT, an international master terminology providing comprehensive coverage of the entire domain of medicine, can be used with Controlled Natural Languages (CNL) to advance how LLMs are used and trained.]]> Fri, 29 Mar 2024 23:35:50 GMT /slideshow/reference-domain-ontologies-and-large-medical-language-modelspptx/267024290 chimezie@slideshare.net(chimezie) Reference Domain Ontologies and Large Medical Language Models chimezie Large Language Models (LLMs) have exploded into the modern research and development consciousness and triggered an artificial intelligence revolution. They are well-positioned to have a major impact on Medical Informatics. However, much of the data used to train these revolutionary models are general-purpose and, in some cases, synthetically generated from LLMs. Ontologies are a shared and agreed-upon conceptualization of a domain and facilitate computational reasoning. They have become important tools in biomedicine, supporting critical aspects of healthcare and biomedical research, and are integral to science. In this talk, we will delve into ontologies, their representational and reasoning power, and how terminology systems such as SNOMED-CT, an international master terminology providing comprehensive coverage of the entire domain of medicine, can be used with Controlled Natural Languages (CNL) to advance how LLMs are used and trained. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/referencedomainontologiesandlargemedicallanguagemodels-240329233550-53c3fbbf-thumbnail.jpg?width=120&height=120&fit=bounds" /> Large Language Models (LLMs) have exploded into the modern research and development consciousness and triggered an artificial intelligence revolution. They are well-positioned to have a major impact on Medical Informatics. However, much of the data used to train these revolutionary models are general-purpose and, in some cases, synthetically generated from LLMs. Ontologies are a shared and agreed-upon conceptualization of a domain and facilitate computational reasoning. They have become important tools in biomedicine, supporting critical aspects of healthcare and biomedical research, and are integral to science. In this talk, we will delve into ontologies, their representational and reasoning power, and how terminology systems such as SNOMED-CT, an international master terminology providing comprehensive coverage of the entire domain of medicine, can be used with Controlled Natural Languages (CNL) to advance how LLMs are used and trained.

Reference Domain Ontologies and Large Medical Language Models from Chimezie Ogbuji

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0 Using OWL for the RESO Data Dictionary /slideshow/using-owl-for-the-reso-data-dictionary/67744202 reso-dd-owl-fall-conference-reduced-161027183022
An ontology is a computational artifact used to describe a conceptualization of some part of the world via precise, descriptive statements. In this presentation, we discuss the features of the W3C's Ontology Web Language (OWL) and how it can be used to reduce ambiguity in the semantics (i.e., the meaning) of Data Dictionary terminology.]]>
An ontology is a computational artifact used to describe a conceptualization of some part of the world via precise, descriptive statements. In this presentation, we discuss the features of the W3C's Ontology Web Language (OWL) and how it can be used to reduce ambiguity in the semantics (i.e., the meaning) of Data Dictionary terminology.]]> Thu, 27 Oct 2016 18:30:22 GMT /slideshow/using-owl-for-the-reso-data-dictionary/67744202 chimezie@slideshare.net(chimezie) Using OWL for the RESO Data Dictionary chimezie An ontology is a computational artifact used to describe a conceptualization of some part of the world via precise, descriptive statements. In this presentation, we discuss the features of the W3C's Ontology Web Language (OWL) and how it can be used to reduce ambiguity in the semantics (i.e., the meaning) of Data Dictionary terminology. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/reso-dd-owl-fall-conference-reduced-161027183022-thumbnail.jpg?width=120&height=120&fit=bounds" /> An ontology is a computational artifact used to describe a conceptualization of some part of the world via precise, descriptive statements. In this presentation, we discuss the features of the W3C's Ontology Web Language (OWL) and how it can be used to reduce ambiguity in the semantics (i.e., the meaning) of Data Dictionary terminology.

Using OWL for the RESO Data Dictionary from Chimezie Ogbuji

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0 Semantic Web Technologies: A Paradigm for Medical Informatics /slideshow/swt-medical-informatics/26630280 swtmedicalinformatics-130927153615-phpapp01
Some common needs for the patient registries, Electronic Health Record (EHR) systems, and clinical research repositories of the future are: semantic interoperability, adoption of standardized clinical terminology, adhoc and distributed querying interfaces, and integration with extant databases and web-based systems. A suite of standards has recently emerged from the consortium responsible for the development and oversight of the protocols of the World-wide Web (WWW). They were conceived to address data integration challenges associated with internet and intranet applications. Many of these standards and technologies are capable of addressing the challenges common to health information systems. In this talk, an introductory overview of these technologies, how they address these challenges, and a brief discussion of projects where they have been used is given.]]>
Some common needs for the patient registries, Electronic Health Record (EHR) systems, and clinical research repositories of the future are: semantic interoperability, adoption of standardized clinical terminology, adhoc and distributed querying interfaces, and integration with extant databases and web-based systems. A suite of standards has recently emerged from the consortium responsible for the development and oversight of the protocols of the World-wide Web (WWW). They were conceived to address data integration challenges associated with internet and intranet applications. Many of these standards and technologies are capable of addressing the challenges common to health information systems. In this talk, an introductory overview of these technologies, how they address these challenges, and a brief discussion of projects where they have been used is given.]]> Fri, 27 Sep 2013 15:36:15 GMT /slideshow/swt-medical-informatics/26630280 chimezie@slideshare.net(chimezie) Semantic Web Technologies: A Paradigm for Medical Informatics chimezie Some common needs for the patient registries, Electronic Health Record (EHR) systems, and clinical research repositories of the future are: semantic interoperability, adoption of standardized clinical terminology, adhoc and distributed querying interfaces, and integration with extant databases and web-based systems. A suite of standards has recently emerged from the consortium responsible for the development and oversight of the protocols of the World-wide Web (WWW). They were conceived to address data integration challenges associated with internet and intranet applications. Many of these standards and technologies are capable of addressing the challenges common to health information systems. In this talk, an introductory overview of these technologies, how they address these challenges, and a brief discussion of projects where they have been used is given. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/swtmedicalinformatics-130927153615-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Some common needs for the patient registries, Electronic Health Record (EHR) systems, and clinical research repositories of the future are: semantic interoperability, adoption of standardized clinical terminology, adhoc and distributed querying interfaces, and integration with extant databases and web-based systems. A suite of standards has recently emerged from the consortium responsible for the development and oversight of the protocols of the World-wide Web (WWW). They were conceived to address data integration challenges associated with internet and intranet applications. Many of these standards and technologies are capable of addressing the challenges common to health information systems. In this talk, an introductory overview of these technologies, how they address these challenges, and a brief discussion of projects where they have been used is given.

Semantic Web Technologies: A Paradigm for Medical Informatics from Chimezie Ogbuji

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0 Semantic Web use cases in outcomes research /slideshow/sw-usecasesoutcomesresearch/17165772 sw-usecases-outcomes-research-130313092247-phpapp02
Presentation given to University of Akron graduate CS class about work done with semantic web and outcomes research]]>
Presentation given to University of Akron graduate CS class about work done with semantic web and outcomes research]]> Wed, 13 Mar 2013 09:22:47 GMT /slideshow/sw-usecasesoutcomesresearch/17165772 chimezie@slideshare.net(chimezie) Semantic Web use cases in outcomes research chimezie Presentation given to University of Akron graduate CS class about work done with semantic web and outcomes research <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sw-usecases-outcomes-research-130313092247-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation given to University of Akron graduate CS class about work done with semantic web and outcomes research

Semantic Web use cases in outcomes research from Chimezie Ogbuji

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0 Integrating Large, Disparate, Biomedical Ontologies to Boost Organ Development Network Connectivity /slideshow/integrating-large-disparate-biomedical-ontologies-to-boost-organ-development-network-connectivity/13493865 ogbuji-dils2012-presentation-120629072825-phpapp01
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Integrating Large, Disparate, Biomedical Ontologies to Boost Organ Development Network Connectivity from Chimezie Ogbuji

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0 Automated clinicalontologyextraction /slideshow/automated-clinicalontologyextraction/9573214 automatedclinicalontologyextraction-111006072341-phpapp02
Presentation of methods for segmenting, merging, and surveying domain-specific clinical ontologies in an automated fashion.]]>
Presentation of methods for segmenting, merging, and surveying domain-specific clinical ontologies in an automated fashion.]]> Thu, 06 Oct 2011 07:23:40 GMT /slideshow/automated-clinicalontologyextraction/9573214 chimezie@slideshare.net(chimezie) Automated clinicalontologyextraction chimezie Presentation of methods for segmenting, merging, and surveying domain-specific clinical ontologies in an automated fashion. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/automatedclinicalontologyextraction-111006072341-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> Presentation of methods for segmenting, merging, and surveying domain-specific clinical ontologies in an automated fashion.

Automated clinicalontologyextraction from Chimezie Ogbuji

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0 GRDDL: The Why, What, How, and Where /slideshow/grddl-the-why-what-how-and-where/4393752 grddl-st082-100602155322-phpapp01
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]]> Wed, 02 Jun 2010 15:53:03 GMT /slideshow/grddl-the-why-what-how-and-where/4393752 chimezie@slideshare.net(chimezie) GRDDL: The Why, What, How, and Where chimezie <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/grddl-st082-100602155322-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

GRDDL: The Why, What, How, and Where from Chimezie Ogbuji

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0 GRDDL: A Pictorial Approach /chimezie/grddl-a-pictorial-approach grddl-cop-100602154943-phpapp01
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GRDDL: A Pictorial Approach from Chimezie Ogbuji

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0 Tools for Next Generation of CMS: XML, RDF, & GRDDL /slideshow/tools-for-next-generation-of-cms-xml-rdf-grddl/4393734 grddl-xml-cms-100602154846-phpapp02
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]]> Wed, 02 Jun 2010 15:48:33 GMT /slideshow/tools-for-next-generation-of-cms-xml-rdf-grddl/4393734 chimezie@slideshare.net(chimezie) Tools for Next Generation of CMS: XML, RDF, & GRDDL chimezie <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/grddl-xml-cms-100602154846-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Tools for Next Generation of CMS: XML, RDF, & GRDDL from Chimezie Ogbuji

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0 UniProt and the Semantic Web /slideshow/uniprot-and-the-semantic-web/4393720 uniprotrdf-100602154619-phpapp02
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UniProt and the Semantic Web from Chimezie Ogbuji

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0 Semantic Web Technologies as a Framework for Clinical Informatics /slideshow/semantic-web-technologies-as-a-framework-for-clinical-informatics/4393715 chimezieogbujiswtclinicalinformatics-100602154509-phpapp01
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]]> Wed, 02 Jun 2010 15:45:03 GMT /slideshow/semantic-web-technologies-as-a-framework-for-clinical-informatics/4393715 chimezie@slideshare.net(chimezie) Semantic Web Technologies as a Framework for Clinical Informatics chimezie <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/chimezieogbujiswtclinicalinformatics-100602154509-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" />

Semantic Web Technologies as a Framework for Clinical Informatics from Chimezie Ogbuji

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0 Segmenting & Merging Domain-specific Modules for Clinical Informatics /chimezie/segmenting-merging-domainspecific-modules-for-clinical-informatics segmentingmergingclinicalmodules-presentation-100602153749-phpapp02
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]]> Wed, 02 Jun 2010 15:37:31 GMT /chimezie/segmenting-merging-domainspecific-modules-for-clinical-informatics chimezie@slideshare.net(chimezie) Segmenting & Merging Domain-specific Modules for Clinical Informatics chimezie <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/segmentingmergingclinicalmodules-presentation-100602153749-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" />

Segmenting & Merging Domain-specific Modules for Clinical Informatics from Chimezie Ogbuji

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0 Overview of CPR Ontology /slideshow/cpr-w3-cpresentation/4393640 cpr-w3c-presentation-100602153344-phpapp02
An overview of the methods behind the CPR ontology, its motivation, and content]]>
An overview of the methods behind the CPR ontology, its motivation, and content]]> Wed, 02 Jun 2010 15:33:12 GMT /slideshow/cpr-w3-cpresentation/4393640 chimezie@slideshare.net(chimezie) Overview of CPR Ontology chimezie An overview of the methods behind the CPR ontology, its motivation, and content <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/cpr-w3c-presentation-100602153344-phpapp02-thumbnail.jpg?width=120&height=120&fit=bounds" /> An overview of the methods behind the CPR ontology, its motivation, and content

Overview of CPR Ontology from Chimezie Ogbuji

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0 The Characteristics of a RESTful Semantic Web and Why They Are Important /slideshow/restful-semanticweb/4393602 restfulsemanticweb-100602152747-phpapp01
Overview of some of the motivation and background behind the current draft of the SPARQL 1.1 Uniform HTTP Protocol for Managing RDF Graphs]]>
Overview of some of the motivation and background behind the current draft of the SPARQL 1.1 Uniform HTTP Protocol for Managing RDF Graphs]]> Wed, 02 Jun 2010 15:27:37 GMT /slideshow/restful-semanticweb/4393602 chimezie@slideshare.net(chimezie) The Characteristics of a RESTful Semantic Web and Why They Are Important chimezie Overview of some of the motivation and background behind the current draft of the SPARQL 1.1 Uniform HTTP Protocol for Managing RDF Graphs <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/restfulsemanticweb-100602152747-phpapp01-thumbnail.jpg?width=120&height=120&fit=bounds" /> Overview of some of the motivation and background behind the current draft of the SPARQL 1.1 Uniform HTTP Protocol for Managing RDF Graphs

The Characteristics of a RESTful Semantic Web and Why They Are Important from Chimezie Ogbuji

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0 https://cdn.slidesharecdn.com/profile-photo-chimezie-48x48.jpg?cb=1721410887 Computer Engineer with senior-level experience in Knowledge Engineering/Management solutions, education, and consulting. Seasoned experience in a whole generation semi-structured related engineering standards including (but not limited to) XML, XSLT, and RDF. My goal is to help humans help themselves through knowledge representation technology http://chimezie.posterous.com https://cdn.slidesharecdn.com/ss_thumbnails/referencedomainontologiesandlargemedicallanguagemodels-240329233550-53c3fbbf-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/reference-domain-ontologies-and-large-medical-language-modelspptx/267024290 Reference Domain Ontol... https://cdn.slidesharecdn.com/ss_thumbnails/reso-dd-owl-fall-conference-reduced-161027183022-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/using-owl-for-the-reso-data-dictionary/67744202 Using OWL for the RESO... https://cdn.slidesharecdn.com/ss_thumbnails/swtmedicalinformatics-130927153615-phpapp01-thumbnail.jpg?width=320&height=320&fit=bounds slideshow/swt-medical-informatics/26630280 Semantic Web Technolog...