ºÝºÝߣshows by User: CraigTrim / http://www.slideshare.net/images/logo.gif ºÝºÝߣshows by User: CraigTrim / Tue, 09 Apr 2024 23:24:07 GMT ºÝºÝߣShare feed for ºÝºÝߣshows by User: CraigTrim Publishing Python to PyPI using Github Actions.pptx /slideshow/publishing-python-to-pypi-using-github-actionspptx/267186232 githubtopypi-240409232407-d9502c12
This presentation provides a straightforward guide to publishing Python projects on PyPI using GitHub Actions. It's a practical walkthrough for developers on automating the release process of their Python packages. You'll learn how to set up a PyPI token, configure GitHub workflows, and push updates that trigger automatic package deployment. This resource is for anyone looking to eliminate manual uploads to PyPI with a straightforward approach to using GitHub's tools for continuous integration and deployment.]]>

This presentation provides a straightforward guide to publishing Python projects on PyPI using GitHub Actions. It's a practical walkthrough for developers on automating the release process of their Python packages. You'll learn how to set up a PyPI token, configure GitHub workflows, and push updates that trigger automatic package deployment. This resource is for anyone looking to eliminate manual uploads to PyPI with a straightforward approach to using GitHub's tools for continuous integration and deployment.]]>
Tue, 09 Apr 2024 23:24:07 GMT /slideshow/publishing-python-to-pypi-using-github-actionspptx/267186232 CraigTrim@slideshare.net(CraigTrim) Publishing Python to PyPI using Github Actions.pptx CraigTrim This presentation provides a straightforward guide to publishing Python projects on PyPI using GitHub Actions. It's a practical walkthrough for developers on automating the release process of their Python packages. You'll learn how to set up a PyPI token, configure GitHub workflows, and push updates that trigger automatic package deployment. This resource is for anyone looking to eliminate manual uploads to PyPI with a straightforward approach to using GitHub's tools for continuous integration and deployment. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/githubtopypi-240409232407-d9502c12-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> This presentation provides a straightforward guide to publishing Python projects on PyPI using GitHub Actions. It&#39;s a practical walkthrough for developers on automating the release process of their Python packages. You&#39;ll learn how to set up a PyPI token, configure GitHub workflows, and push updates that trigger automatic package deployment. This resource is for anyone looking to eliminate manual uploads to PyPI with a straightforward approach to using GitHub&#39;s tools for continuous integration and deployment.
Publishing Python to PyPI using Github Actions.pptx from Craig Trim
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Ontologies and the Semantic Web /slideshow/ontologies-and-the-semantic-web/123531325 ontology-and-the-semantic-web-181120164657
Ontologies and the Semantic Web]]>

Ontologies and the Semantic Web]]>
Tue, 20 Nov 2018 16:46:57 GMT /slideshow/ontologies-and-the-semantic-web/123531325 CraigTrim@slideshare.net(CraigTrim) Ontologies and the Semantic Web CraigTrim Ontologies and the Semantic Web <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ontology-and-the-semantic-web-181120164657-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Ontologies and the Semantic Web
Ontologies and the Semantic Web from Craig Trim
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SAS Visual Process Flows /slideshow/sas-visual-process-flows/75933001 sas-visualpalette-170512215224
Importing a CSV and running a FREQ procedure using the SAS Visual Palette (University Edition)]]>

Importing a CSV and running a FREQ procedure using the SAS Visual Palette (University Edition)]]>
Fri, 12 May 2017 21:52:24 GMT /slideshow/sas-visual-process-flows/75933001 CraigTrim@slideshare.net(CraigTrim) SAS Visual Process Flows CraigTrim Importing a CSV and running a FREQ procedure using the SAS Visual Palette (University Edition) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sas-visualpalette-170512215224-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Importing a CSV and running a FREQ procedure using the SAS Visual Palette (University Edition)
SAS Visual Process Flows from Craig Trim
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SAS University Edition - Getting Started /slideshow/sas-university-edition-getting-started/71311336 sasuegettingstarted-170124020329
Get Started with SAS University Edition on your local machine using Virtual Box to host a pre-installed instance. Work through the initial setup and configuration and run SAS code from the training modules.]]>

Get Started with SAS University Edition on your local machine using Virtual Box to host a pre-installed instance. Work through the initial setup and configuration and run SAS code from the training modules.]]>
Tue, 24 Jan 2017 02:03:29 GMT /slideshow/sas-university-edition-getting-started/71311336 CraigTrim@slideshare.net(CraigTrim) SAS University Edition - Getting Started CraigTrim Get Started with SAS University Edition on your local machine using Virtual Box to host a pre-installed instance. Work through the initial setup and configuration and run SAS code from the training modules. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/sasuegettingstarted-170124020329-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Get Started with SAS University Edition on your local machine using Virtual Box to host a pre-installed instance. Work through the initial setup and configuration and run SAS code from the training modules.
SAS University Edition - Getting Started from Craig Trim
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Bluemix NL Classifier Tutorial /slideshow/bluemix-nl-classifier-tutorial/53391642 bluemixnlclassifiertutorial1-150930201058-lva1-app6892
Configuring the IBM Bluemix Natural Language Classifier on Question Types]]>

Configuring the IBM Bluemix Natural Language Classifier on Question Types]]>
Wed, 30 Sep 2015 20:10:58 GMT /slideshow/bluemix-nl-classifier-tutorial/53391642 CraigTrim@slideshare.net(CraigTrim) Bluemix NL Classifier Tutorial CraigTrim Configuring the IBM Bluemix Natural Language Classifier on Question Types <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluemixnlclassifiertutorial1-150930201058-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Configuring the IBM Bluemix Natural Language Classifier on Question Types
Bluemix NL Classifier Tutorial from Craig Trim
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Bluemix - Deploying a Java Web Application /slideshow/bluemix-deploying-a-java-web-application/48200507 bluemixtutorial-deployingawebapp-150515173424-lva1-app6892
Deploying a Java Web Application (Simple JAX-RS App) to Bluemix.]]>

Deploying a Java Web Application (Simple JAX-RS App) to Bluemix.]]>
Fri, 15 May 2015 17:34:24 GMT /slideshow/bluemix-deploying-a-java-web-application/48200507 CraigTrim@slideshare.net(CraigTrim) Bluemix - Deploying a Java Web Application CraigTrim Deploying a Java Web Application (Simple JAX-RS App) to Bluemix. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluemixtutorial-deployingawebapp-150515173424-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Deploying a Java Web Application (Simple JAX-RS App) to Bluemix.
Bluemix - Deploying a Java Web Application from Craig Trim
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IBM Bluemix - Building a Project with Maven /slideshow/ibm-bluemix-building-a-project-with-maven/48114926 bluemixtutorial-buildingaprojectwithmaven-150513185023-lva1-app6892
Building a Java project with Maven on IBM Bluemix]]>

Building a Java project with Maven on IBM Bluemix]]>
Wed, 13 May 2015 18:50:23 GMT /slideshow/ibm-bluemix-building-a-project-with-maven/48114926 CraigTrim@slideshare.net(CraigTrim) IBM Bluemix - Building a Project with Maven CraigTrim Building a Java project with Maven on IBM Bluemix <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluemixtutorial-buildingaprojectwithmaven-150513185023-lva1-app6892-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Building a Java project with Maven on IBM Bluemix
IBM Bluemix - Building a Project with Maven from Craig Trim
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Question Types in Natural Language Processing /slideshow/question-types-in-natural-language-processing/47696448 questiontypes-public-150503090014-conversion-gate02
Question Types for Natural Langauge Processing and Dialog in Cognitive Computing]]>

Question Types for Natural Langauge Processing and Dialog in Cognitive Computing]]>
Sun, 03 May 2015 09:00:14 GMT /slideshow/question-types-in-natural-language-processing/47696448 CraigTrim@slideshare.net(CraigTrim) Question Types in Natural Language Processing CraigTrim Question Types for Natural Langauge Processing and Dialog in Cognitive Computing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/questiontypes-public-150503090014-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Question Types for Natural Langauge Processing and Dialog in Cognitive Computing
Question Types in Natural Language Processing from Craig Trim
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Jenkins on Docker /CraigTrim/jenkins-on-docker jenkinsondocker-150422145959-conversion-gate01
Jenkins on Docker]]>

Jenkins on Docker]]>
Wed, 22 Apr 2015 14:59:59 GMT /CraigTrim/jenkins-on-docker CraigTrim@slideshare.net(CraigTrim) Jenkins on Docker CraigTrim Jenkins on Docker <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jenkinsondocker-150422145959-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Jenkins on Docker
Jenkins on Docker from Craig Trim
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IBM Bluemix: Creating a Git Project /slideshow/ibm-bluemix-creating-a-git-project/47264740 bluemixtutorial-creatingagitproject-150421192026-conversion-gate02
Use the IBM Bluemix platform to create a project accessible on the Git command line]]>

Use the IBM Bluemix platform to create a project accessible on the Git command line]]>
Tue, 21 Apr 2015 19:20:26 GMT /slideshow/ibm-bluemix-creating-a-git-project/47264740 CraigTrim@slideshare.net(CraigTrim) IBM Bluemix: Creating a Git Project CraigTrim Use the IBM Bluemix platform to create a project accessible on the Git command line <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/bluemixtutorial-creatingagitproject-150421192026-conversion-gate02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Use the IBM Bluemix platform to create a project accessible on the Git command line
IBM Bluemix: Creating a Git Project from Craig Trim
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Things and strings public /slideshow/things-and-strings-public/47212976 thingsandstrings-public-150420153130-conversion-gate01
Things and Strings (Triple Stores and Property Graphs and Full Text Search)]]>

Things and Strings (Triple Stores and Property Graphs and Full Text Search)]]>
Mon, 20 Apr 2015 15:31:30 GMT /slideshow/things-and-strings-public/47212976 CraigTrim@slideshare.net(CraigTrim) Things and strings public CraigTrim Things and Strings (Triple Stores and Property Graphs and Full Text Search) <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/thingsandstrings-public-150420153130-conversion-gate01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Things and Strings (Triple Stores and Property Graphs and Full Text Search)
Things and strings public from Craig Trim
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Octave - Prototyping Machine Learning Algorithms /slideshow/octave-a-simple-prototyping-toolkit-for-maching-learning/35540641 octave-asimpleprototypingtoolkitformachinglearning-140605151137-phpapp01
Octave is a high-level language suitable for prototyping learning algorithms. Octave is primarily intended for numerical computations and provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The syntax is matrix-based and provides various functions for matrix operations. This tool has been in active development for over 20 years.]]>

Octave is a high-level language suitable for prototyping learning algorithms. Octave is primarily intended for numerical computations and provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The syntax is matrix-based and provides various functions for matrix operations. This tool has been in active development for over 20 years.]]>
Thu, 05 Jun 2014 15:11:37 GMT /slideshow/octave-a-simple-prototyping-toolkit-for-maching-learning/35540641 CraigTrim@slideshare.net(CraigTrim) Octave - Prototyping Machine Learning Algorithms CraigTrim Octave is a high-level language suitable for prototyping learning algorithms. Octave is primarily intended for numerical computations and provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The syntax is matrix-based and provides various functions for matrix operations. This tool has been in active development for over 20 years. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/octave-asimpleprototypingtoolkitformachinglearning-140605151137-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Octave is a high-level language suitable for prototyping learning algorithms. Octave is primarily intended for numerical computations and provides extensive graphics capabilities for data visualization and manipulation. Octave is normally used through its interactive command line interface, but it can also be used to write non-interactive programs. The syntax is matrix-based and provides various functions for matrix operations. This tool has been in active development for over 20 years.
Octave - Prototyping Machine Learning Algorithms from Craig Trim
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PROV Overview /slideshow/prov-overview/25954713 provoverview-130906071224-
W3C Provenance Ontology (PROV-O) Quick Reference]]>

W3C Provenance Ontology (PROV-O) Quick Reference]]>
Fri, 06 Sep 2013 07:12:24 GMT /slideshow/prov-overview/25954713 CraigTrim@slideshare.net(CraigTrim) PROV Overview CraigTrim W3C Provenance Ontology (PROV-O) Quick Reference <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/provoverview-130906071224--thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> W3C Provenance Ontology (PROV-O) Quick Reference
PROV Overview from Craig Trim
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The Onomyicon /slideshow/the-onomyicon/24062206 theonomyicon-130709105627-phpapp02
There are many words in english that end with the suffix "-nym" or "-nymy". This comes from the ancient Greek ὄνυμα, meaning "name" or "word", and could even be loosely translated as "state of being". A categorization of onomastic terminology is a helpful step in understanding data. In the automated creation of a semantic model, it is neccessary to develop patterns. Semantic models are primarily composed of space (static information) and time (process / event oriented). Patterns built around onoma help is deriving the former. This is not a complete list of all Onoma. In many respects, the class of words ending with "-nym" could be considered open. Neologism (the type of words belonging to the class "neonym") can be easily created to describe any category for any entity type.]]>

There are many words in english that end with the suffix "-nym" or "-nymy". This comes from the ancient Greek ὄνυμα, meaning "name" or "word", and could even be loosely translated as "state of being". A categorization of onomastic terminology is a helpful step in understanding data. In the automated creation of a semantic model, it is neccessary to develop patterns. Semantic models are primarily composed of space (static information) and time (process / event oriented). Patterns built around onoma help is deriving the former. This is not a complete list of all Onoma. In many respects, the class of words ending with "-nym" could be considered open. Neologism (the type of words belonging to the class "neonym") can be easily created to describe any category for any entity type.]]>
Tue, 09 Jul 2013 10:56:27 GMT /slideshow/the-onomyicon/24062206 CraigTrim@slideshare.net(CraigTrim) The Onomyicon CraigTrim There are many words in english that end with the suffix "-nym" or "-nymy". This comes from the ancient Greek ὄνυμα, meaning "name" or "word", and could even be loosely translated as "state of being". A categorization of onomastic terminology is a helpful step in understanding data. In the automated creation of a semantic model, it is neccessary to develop patterns. Semantic models are primarily composed of space (static information) and time (process / event oriented). Patterns built around onoma help is deriving the former. This is not a complete list of all Onoma. In many respects, the class of words ending with "-nym" could be considered open. Neologism (the type of words belonging to the class "neonym") can be easily created to describe any category for any entity type. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theonomyicon-130709105627-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> There are many words in english that end with the suffix &quot;-nym&quot; or &quot;-nymy&quot;. This comes from the ancient Greek ὄνυμα, meaning &quot;name&quot; or &quot;word&quot;, and could even be loosely translated as &quot;state of being&quot;. A categorization of onomastic terminology is a helpful step in understanding data. In the automated creation of a semantic model, it is neccessary to develop patterns. Semantic models are primarily composed of space (static information) and time (process / event oriented). Patterns built around onoma help is deriving the former. This is not a complete list of all Onoma. In many respects, the class of words ending with &quot;-nym&quot; could be considered open. Neologism (the type of words belonging to the class &quot;neonym&quot;) can be easily created to describe any category for any entity type.
The Onomyicon from Craig Trim
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Dependency parsing (2013) /slideshow/dependency-parsing-2013/21630660 dependencyparsing2013-130521192135-phpapp02
Visual Depiction of a Dependency Parse.]]>

Visual Depiction of a Dependency Parse.]]>
Tue, 21 May 2013 19:21:35 GMT /slideshow/dependency-parsing-2013/21630660 CraigTrim@slideshare.net(CraigTrim) Dependency parsing (2013) CraigTrim Visual Depiction of a Dependency Parse. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/dependencyparsing2013-130521192135-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Visual Depiction of a Dependency Parse.
Dependency parsing (2013) from Craig Trim
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Inference using owl 2.0 semantics /slideshow/inference-using-owl-20-semantics/20502920 inferenceusingowl2-0semantics-130503175641-phpapp02
The purpose of properties is to enable inference. For all the explicit information that has been modeled, what information can be implied? RDFS provides a very limited set of inference capabilities. The Web Ontology Language (OWL) provides more elaborate constraints on how information can be specified. A subset of these constraints are discussed in this presentation.]]>

The purpose of properties is to enable inference. For all the explicit information that has been modeled, what information can be implied? RDFS provides a very limited set of inference capabilities. The Web Ontology Language (OWL) provides more elaborate constraints on how information can be specified. A subset of these constraints are discussed in this presentation.]]>
Fri, 03 May 2013 17:56:41 GMT /slideshow/inference-using-owl-20-semantics/20502920 CraigTrim@slideshare.net(CraigTrim) Inference using owl 2.0 semantics CraigTrim The purpose of properties is to enable inference. For all the explicit information that has been modeled, what information can be implied? RDFS provides a very limited set of inference capabilities. The Web Ontology Language (OWL) provides more elaborate constraints on how information can be specified. A subset of these constraints are discussed in this presentation. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/inferenceusingowl2-0semantics-130503175641-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> The purpose of properties is to enable inference. For all the explicit information that has been modeled, what information can be implied? RDFS provides a very limited set of inference capabilities. The Web Ontology Language (OWL) provides more elaborate constraints on how information can be specified. A subset of these constraints are discussed in this presentation.
Inference using owl 2.0 semantics from Craig Trim
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An Introduction to the Jena API /slideshow/an-introduction-to-the-jena-api/16840980 jenaapi-introduction-130228134543-phpapp02
Creating a Jena TDB Triple Store and querying to retrieve data]]>

Creating a Jena TDB Triple Store and querying to retrieve data]]>
Thu, 28 Feb 2013 13:45:42 GMT /slideshow/an-introduction-to-the-jena-api/16840980 CraigTrim@slideshare.net(CraigTrim) An Introduction to the Jena API CraigTrim Creating a Jena TDB Triple Store and querying to retrieve data <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/jenaapi-introduction-130228134543-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> Creating a Jena TDB Triple Store and querying to retrieve data
An Introduction to the Jena API from Craig Trim
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The art of tokenization /CraigTrim/the-art-of-tokenization theartoftokenization-130123144532-phpapp01
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Wed, 23 Jan 2013 14:45:32 GMT /CraigTrim/the-art-of-tokenization CraigTrim@slideshare.net(CraigTrim) The art of tokenization CraigTrim <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theartoftokenization-130123144532-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br>
The art of tokenization from Craig Trim
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Deep Parsing (2012) /slideshow/deep-parsing-2012/16065714 theparsingprocess2012-130118233907-phpapp02
A Visual Introduction to Deep Parsing]]>

A Visual Introduction to Deep Parsing]]>
Fri, 18 Jan 2013 23:39:06 GMT /slideshow/deep-parsing-2012/16065714 CraigTrim@slideshare.net(CraigTrim) Deep Parsing (2012) CraigTrim A Visual Introduction to Deep Parsing <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/theparsingprocess2012-130118233907-phpapp02-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> A Visual Introduction to Deep Parsing
Deep Parsing (2012) from Craig Trim
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Ontology and semantic web (2016) /slideshow/ontology-and-semantic-web-2011/16045840 ontologyandsemanticweb2011-130117144811-phpapp01
An Ontology is a description of things that exist and how they relate to each other. Ontologies and Natural Language Processing (NLP) can often be seen as two sides of the same coin.]]>

An Ontology is a description of things that exist and how they relate to each other. Ontologies and Natural Language Processing (NLP) can often be seen as two sides of the same coin.]]>
Thu, 17 Jan 2013 14:48:10 GMT /slideshow/ontology-and-semantic-web-2011/16045840 CraigTrim@slideshare.net(CraigTrim) Ontology and semantic web (2016) CraigTrim An Ontology is a description of things that exist and how they relate to each other. Ontologies and Natural Language Processing (NLP) can often be seen as two sides of the same coin. <img style="border:1px solid #C3E6D8;float:right;" alt="" src="https://cdn.slidesharecdn.com/ss_thumbnails/ontologyandsemanticweb2011-130117144811-phpapp01-thumbnail.jpg?width=120&amp;height=120&amp;fit=bounds" /><br> An Ontology is a description of things that exist and how they relate to each other. Ontologies and Natural Language Processing (NLP) can often be seen as two sides of the same coin.
Ontology and semantic web (2016) from Craig Trim
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