Ontologies provide a shared understanding of a domain by formally defining concepts, properties, and relationships. An ontology introduces vocabulary relevant to a domain and specifies the meaning of terms. Ontologies are machine-readable and enable overcoming differences in terminology across complex, distributed applications. Examples include gene ontologies, pharmaceutical drug ontologies, and customer profile ontologies. Semantic technologies use ontologies to provide semantic search, integration, reasoning, and analysis capabilities.
This document discusses search strategies and refinement techniques for online databases. It outlines the steps to develop an effective search strategy, including formulating a clear query, brainstorming keywords, choosing appropriate databases, and combining keywords using techniques like Boolean operators, nesting, truncation and proximity searching. The document also discusses evaluating search results and refining searches by applying limiters and conducting field-specific searches. The goal is to retrieve the most relevant and accurate information through a systematic search approach.
Knowledge, Graphs & 3D CAD Systems - David Bigelow @ GraphConnect Chicago 2013Neo4j
Global Design and Manufacturing Companies spend a lot of time looking in the rear-view mirror relative to their product design and configuration requirements in order to determine what NOT to do in the future. A lot of time and money is spent tracking information related to design validation, testing and warranty data. Understanding history is important, it often repeats and the bad decisions of the past needs to be avoided.
But, what about the GOOD decisions that have been made, those are just as, if not more important to a design and configuration process! Where do those get stored?! How are they measured?! Most importantly, HOW ARE THEY ENFORCED?! Specifically, how do you help someone in a company make the RIGHT decisions, not just be fearful of repeating a BAD one?!
This is a complex problem for any Design, Engineering or IT Department. That problem gets even more complex when you are required to incorporate a 3D CAD (Computer Aided Design) systems into the mix. If 3D parts and assemblies do not physically connect together properly, or are never supposed to work logically together based on the customer application, you will lose business. The solution is to rethink the approach to how a company not only captures knowledge about failures, but also start to capture successes. The ultimate goal is to help design and engineering staff make the right decisions first, to guide them through valid relations and requirements with ease so they are never distracted by bad decisions - or forced to address a potentially bad decision before it is made.
This is where graph databases are poised to address a very complex problem in a simple and easy to understand way. There are two problems that come up from this:
1) how to document the relationships, rules, dependencies and logic in the graph structure, and
2) how to guide/navigate different role-specific-users through that process safely/accurately.
This presentation will cover the real-world complexities of defining, validating, documenting and enforcing mechanical 3D CAD product configuration rules and structures. Demonstrations of how different roles within the company (e.g. configuration manager, engineer, sales, etc.) can interface with the same graph database using multiple interfaces (e.g. thick client, thin and web) to be interactively guided to a proper solution the first time.
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
The document discusses the evolution of the World Wide Web from Web 1.0 to the current Web 2.0 to the future Web 3.0 or Semantic Web. Web 1.0 consisted of static pages and limited user interaction. Web 2.0 enabled user-generated content and more dynamic functionality through sites like Facebook. The Semantic Web, as envisioned by Tim Berners-Lee, aims to make web content machine-readable through technologies like URIs, XML, and ontologies to allow for more intelligent searching and connections between information. The document provides examples to illustrate the differences between each stage of the web's evolution.
The document discusses semantic web technology, which aims to make information on the web better understood by machines by giving data well-defined meaning. It outlines the evolution of web technologies from the initial web to the semantic web. Key aspects of semantic web technology include ontologies to define common vocabularies, semantic annotations to associate meaning with data, and reasoning capabilities to enable complex queries and analyses. Languages, tools, and applications are needed to implement these semantic web standards and make the web of linked data usable.
Ontologies provide a shared understanding of a domain by formally defining concepts, properties, and relationships. An ontology introduces vocabulary relevant to a domain and specifies the meaning of terms. Ontologies are machine-readable and enable overcoming differences in terminology across complex, distributed applications. Examples include gene ontologies, pharmaceutical drug ontologies, and customer profile ontologies. Semantic technologies use ontologies to provide semantic search, integration, reasoning, and analysis capabilities.
This document discusses search strategies and refinement techniques for online databases. It outlines the steps to develop an effective search strategy, including formulating a clear query, brainstorming keywords, choosing appropriate databases, and combining keywords using techniques like Boolean operators, nesting, truncation and proximity searching. The document also discusses evaluating search results and refining searches by applying limiters and conducting field-specific searches. The goal is to retrieve the most relevant and accurate information through a systematic search approach.
Knowledge, Graphs & 3D CAD Systems - David Bigelow @ GraphConnect Chicago 2013Neo4j
Global Design and Manufacturing Companies spend a lot of time looking in the rear-view mirror relative to their product design and configuration requirements in order to determine what NOT to do in the future. A lot of time and money is spent tracking information related to design validation, testing and warranty data. Understanding history is important, it often repeats and the bad decisions of the past needs to be avoided.
But, what about the GOOD decisions that have been made, those are just as, if not more important to a design and configuration process! Where do those get stored?! How are they measured?! Most importantly, HOW ARE THEY ENFORCED?! Specifically, how do you help someone in a company make the RIGHT decisions, not just be fearful of repeating a BAD one?!
This is a complex problem for any Design, Engineering or IT Department. That problem gets even more complex when you are required to incorporate a 3D CAD (Computer Aided Design) systems into the mix. If 3D parts and assemblies do not physically connect together properly, or are never supposed to work logically together based on the customer application, you will lose business. The solution is to rethink the approach to how a company not only captures knowledge about failures, but also start to capture successes. The ultimate goal is to help design and engineering staff make the right decisions first, to guide them through valid relations and requirements with ease so they are never distracted by bad decisions - or forced to address a potentially bad decision before it is made.
This is where graph databases are poised to address a very complex problem in a simple and easy to understand way. There are two problems that come up from this:
1) how to document the relationships, rules, dependencies and logic in the graph structure, and
2) how to guide/navigate different role-specific-users through that process safely/accurately.
This presentation will cover the real-world complexities of defining, validating, documenting and enforcing mechanical 3D CAD product configuration rules and structures. Demonstrations of how different roles within the company (e.g. configuration manager, engineer, sales, etc.) can interface with the same graph database using multiple interfaces (e.g. thick client, thin and web) to be interactively guided to a proper solution the first time.
Knowledge graphs ilaria maresi the hyve 23apr2020Pistoia Alliance
Data for drug discovery and healthcare is often trapped in silos which hampers effective interpretation and reuse. To remedy this, such data needs to be linked both internally and to external sources to make a FAIR data landscape which can power semantic models and knowledge graphs.
The document discusses the evolution of the World Wide Web from Web 1.0 to the current Web 2.0 to the future Web 3.0 or Semantic Web. Web 1.0 consisted of static pages and limited user interaction. Web 2.0 enabled user-generated content and more dynamic functionality through sites like Facebook. The Semantic Web, as envisioned by Tim Berners-Lee, aims to make web content machine-readable through technologies like URIs, XML, and ontologies to allow for more intelligent searching and connections between information. The document provides examples to illustrate the differences between each stage of the web's evolution.
The document discusses semantic web technology, which aims to make information on the web better understood by machines by giving data well-defined meaning. It outlines the evolution of web technologies from the initial web to the semantic web. Key aspects of semantic web technology include ontologies to define common vocabularies, semantic annotations to associate meaning with data, and reasoning capabilities to enable complex queries and analyses. Languages, tools, and applications are needed to implement these semantic web standards and make the web of linked data usable.
Digital badges are a rapidly growing worldwide online system that contains information about a person such as the knowledge and skills they achieved through formal or informal learning and who validated that learning. Once earned, digital badges can be added to a learner’s social media profile, like LinkedIn or Twitter. Then when someone clicks on the badge, they are provided detailed information on what it took to earn that badge. The presenters, who have decades of corporate and collegiate experience, will share with you the what, why and how of implementing digital badges in your organization.
Prompt engineering is a technique in artificial intelligence to get AI models like ChatGPT to respond correctly to our needs. The 5W1H framework can be used to get good results from ChatGPT by structuring prompts around what, who, why, where, which, and how. Prompts should provide context on what is expected from the AI, who the context is for, why the generated content is needed, where it will be used, which additional information is required, and how the output should be formatted. Well-structured prompts using this framework can elicit high-quality responses from ChatGPT.
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
인공지능 기반 미디어아트 최신 기술, 동향 및 사례를 공유합니다. 특히, 딥러닝을 이용한 예술과 관련된 기술을 확인하고, 관련 작품들을 살펴보겠습니다. 이 세미나는 한전아트센터에서 진행하는 2019년 오픈 미디어아트 전시 세미나(2월 10일 오후 2시)의 하나로 기획되었습니다.
전시 링크 - https://vmspace.com/news/news_view.html?base_seq=NDM5
Part of a joint presentation with Midori Harris comparing OWL (Web Ontology Language) and OBO (Open Biomedical Ontologies) as ontology languages, This presentation concentrates on OWL, Midori Harris presented OBO.
The document discusses the basics of ontologies, including their origin in philosophy, definitions, types, benefits and application areas. Some key points are:
- An ontology is a formal specification of a conceptualization used to help humans and programs share knowledge. It establishes a shared vocabulary for exchanging information.
- Ontologies describe domain knowledge and provide an agreed-upon understanding of a domain through concepts and relations. They help solve problems of ambiguity and enable knowledge sharing.
- Ontologies benefit applications like information retrieval, digital libraries, knowledge engineering and natural language processing by facilitating semantic search and integration of data.
This document summarizes a lecture on introduction to artificial intelligence given by Hou Guanyu and Ye Junlong. It discusses different movies depicting AI such as The Terminator and Ex Machina. It also provides examples of applications of AI such as virtual fitting rooms and fashion design. The document concludes by emphasizing that the proper contextual application of AI is more important than the technology itself, and that AI should be used to assist rather than replace humans.
Building AI Applications using Knowledge GraphsAndre Freitas
This document provides an overview of building AI applications using knowledge graphs. It discusses the goals of the tutorial, which are to provide a broad view of multiple perspectives on knowledge graphs and show how knowledge graphs can form the foundation for building AI systems. The tutorial focuses on contemporary and emerging perspectives through exemplar approaches and infrastructures, rather than providing an exhaustive survey. It also notes that the tutorial is not a standard academic tutorial and takes a big picture view rather than being a comprehensive survey.
Infosys NIA is an AI platform that automates data management and complex processes for businesses. It uses machine learning, optical character recognition, and natural language processing to collect information, learn from it, and perform tasks like revenue forecasting, customer behavior analysis, and contract reviews. Some key features include data analytics, robotic process automation, and predictive and cognitive automation. Infosys NIA helps with organizational transformation, fast data processing, and creating a comprehensive knowledge hub. Real-world examples demonstrate how it has helped customers in industries like manufacturing and finance through challenges like equipment maintenance and fraud detection.
The document provides an overview of the Semantic Web including definitions of key concepts like RDF, RDFS, OWL, and applications. It describes the Semantic Web as extending the current web to give data well-defined meaning enabling computers and people to better cooperate. The layers of the Semantic Web are outlined including XML, RDF, RDFS, OWL, and how each builds on the previous. Examples of RDF graphs and syntax are given. Semantic Web applications like Swoogle, DBpedia, and Flickr are also mentioned.
This document provides an overview of ChatGPT and how it works. It begins with introductions and then provides examples of deep learning applications. It explains that ChatGPT is a type of neural network called a Generative Pre-Trained Transformer (GPT) that is trained on large amounts of text data to predict the next word. GPTs work using an autoregressive approach where each word prediction depends on the previous words generated. The document concludes by explaining how very large GPT models like GPT-3 are able to generate full sentences and conversations.
This document discusses how search engines work and provides tips for effective searching. It explains that search engines like Google use web crawlers to index web pages and search the content, tags, and links to provide relevant results. It outlines the major search engines and some alternative engines. The document also provides examples of advanced search techniques on Google, such as searching for exact phrases, excluding words, and searching within websites or file types. Finally, it discusses when not to use search engines and provides tips for managing information found online.
ChatGPT and RPA (Robotic Process Automation) can indeed be combined to create a new tech revolution. RPA is a technology that allows for the automation of repetitive tasks by using software robots, freeing up human employees to focus on more complex and creative work.
When combined with ChatGPT, which is an advanced language processing model, the automation possibilities become even greater. ChatGPT can be used to understand and respond to natural language input, allowing RPA bots to interact with users in a more human-like manner. Read this presentation to know more.
The document introduces the Semantic Web (Web 3.0) as an evolution from the current Web 2.0. It discusses the limitations of Web 2.0 in that web pages are designed for humans rather than machines. The Semantic Web aims to add meaning to provide machines with understanding of web content so they can work with data more like humans do. Everything on the Semantic Web will be assigned a URI and represented as relationships between subjects, predicates and objects. This will allow machines to more effectively search, find and share information across the internet.
This document provides a cheat sheet for Google search operators, parameters, and advanced search techniques. It outlines various operators that can be used to refine Google searches, such as using "site:" to search only a specific website or "define:" to find definitions. The cheat sheet also describes search parameters like "as_qdr" that can filter results by date. Examples are provided to demonstrate the usage of different operators for tasks like number, stock, or patent searching.
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfHermes Romero
The document provides an overview of generative AI, including its key concepts and applications. It discusses transformer models versus neural networks, explaining that transformer models use self-attention to capture long-range dependencies in sequential data like text. Large language models (LLMs) based on the transformer architecture have shown strong performance in natural language generation tasks. The document outlines the evolution of generative AI techniques from early machine learning to modern large pretrained models. It also surveys some commercial generative AI applications in industries like healthcare, finance, and gaming.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Este documento trata sobre la descentralización en Venezuela. Define la descentralización como un proceso de transferencia de poder del gobierno central a las regiones y comunidades locales para construir un país más justo. Describe las características económicas, administrativas, institucionales y sociopolíticas de la descentralización y los antecedentes históricos del proceso en Venezuela. Explica el modelo actual de descentralización basado en las comunas y consejos comunales y los organismos institucionales que regulan la descentralización a nivel local, est
Este documento describe cómo crear y utilizar páginas maestras en ASP.NET. Explica que las páginas maestras permiten compartir elementos comunes como cabeceras, pies de página y navegación entre páginas web. Detalla los pasos para crear una página maestra con elementos comunes y luego vincular páginas de contenido a la página maestra para heredar esos elementos.
Digital badges are a rapidly growing worldwide online system that contains information about a person such as the knowledge and skills they achieved through formal or informal learning and who validated that learning. Once earned, digital badges can be added to a learner’s social media profile, like LinkedIn or Twitter. Then when someone clicks on the badge, they are provided detailed information on what it took to earn that badge. The presenters, who have decades of corporate and collegiate experience, will share with you the what, why and how of implementing digital badges in your organization.
Prompt engineering is a technique in artificial intelligence to get AI models like ChatGPT to respond correctly to our needs. The 5W1H framework can be used to get good results from ChatGPT by structuring prompts around what, who, why, where, which, and how. Prompts should provide context on what is expected from the AI, who the context is for, why the generated content is needed, where it will be used, which additional information is required, and how the output should be formatted. Well-structured prompts using this framework can elicit high-quality responses from ChatGPT.
The document provides an introduction to knowledge graphs. It discusses how knowledge graphs are being used by large enterprises and intelligent agents to capture concepts, entities, and relationships within domains to drive business, generate insights, and enhance relationships. The presentation will cover an overview of what knowledge graphs are, who uses them, why they are used, and how to use them. It then provides some examples of how knowledge graphs are applied, including in intelligent agents, semantic web, search engines, social networks, biology, enterprise knowledge management, and more.
인공지능 기반 미디어아트 최신 기술, 동향 및 사례를 공유합니다. 특히, 딥러닝을 이용한 예술과 관련된 기술을 확인하고, 관련 작품들을 살펴보겠습니다. 이 세미나는 한전아트센터에서 진행하는 2019년 오픈 미디어아트 전시 세미나(2월 10일 오후 2시)의 하나로 기획되었습니다.
전시 링크 - https://vmspace.com/news/news_view.html?base_seq=NDM5
Part of a joint presentation with Midori Harris comparing OWL (Web Ontology Language) and OBO (Open Biomedical Ontologies) as ontology languages, This presentation concentrates on OWL, Midori Harris presented OBO.
The document discusses the basics of ontologies, including their origin in philosophy, definitions, types, benefits and application areas. Some key points are:
- An ontology is a formal specification of a conceptualization used to help humans and programs share knowledge. It establishes a shared vocabulary for exchanging information.
- Ontologies describe domain knowledge and provide an agreed-upon understanding of a domain through concepts and relations. They help solve problems of ambiguity and enable knowledge sharing.
- Ontologies benefit applications like information retrieval, digital libraries, knowledge engineering and natural language processing by facilitating semantic search and integration of data.
This document summarizes a lecture on introduction to artificial intelligence given by Hou Guanyu and Ye Junlong. It discusses different movies depicting AI such as The Terminator and Ex Machina. It also provides examples of applications of AI such as virtual fitting rooms and fashion design. The document concludes by emphasizing that the proper contextual application of AI is more important than the technology itself, and that AI should be used to assist rather than replace humans.
Building AI Applications using Knowledge GraphsAndre Freitas
This document provides an overview of building AI applications using knowledge graphs. It discusses the goals of the tutorial, which are to provide a broad view of multiple perspectives on knowledge graphs and show how knowledge graphs can form the foundation for building AI systems. The tutorial focuses on contemporary and emerging perspectives through exemplar approaches and infrastructures, rather than providing an exhaustive survey. It also notes that the tutorial is not a standard academic tutorial and takes a big picture view rather than being a comprehensive survey.
Infosys NIA is an AI platform that automates data management and complex processes for businesses. It uses machine learning, optical character recognition, and natural language processing to collect information, learn from it, and perform tasks like revenue forecasting, customer behavior analysis, and contract reviews. Some key features include data analytics, robotic process automation, and predictive and cognitive automation. Infosys NIA helps with organizational transformation, fast data processing, and creating a comprehensive knowledge hub. Real-world examples demonstrate how it has helped customers in industries like manufacturing and finance through challenges like equipment maintenance and fraud detection.
The document provides an overview of the Semantic Web including definitions of key concepts like RDF, RDFS, OWL, and applications. It describes the Semantic Web as extending the current web to give data well-defined meaning enabling computers and people to better cooperate. The layers of the Semantic Web are outlined including XML, RDF, RDFS, OWL, and how each builds on the previous. Examples of RDF graphs and syntax are given. Semantic Web applications like Swoogle, DBpedia, and Flickr are also mentioned.
This document provides an overview of ChatGPT and how it works. It begins with introductions and then provides examples of deep learning applications. It explains that ChatGPT is a type of neural network called a Generative Pre-Trained Transformer (GPT) that is trained on large amounts of text data to predict the next word. GPTs work using an autoregressive approach where each word prediction depends on the previous words generated. The document concludes by explaining how very large GPT models like GPT-3 are able to generate full sentences and conversations.
This document discusses how search engines work and provides tips for effective searching. It explains that search engines like Google use web crawlers to index web pages and search the content, tags, and links to provide relevant results. It outlines the major search engines and some alternative engines. The document also provides examples of advanced search techniques on Google, such as searching for exact phrases, excluding words, and searching within websites or file types. Finally, it discusses when not to use search engines and provides tips for managing information found online.
ChatGPT and RPA (Robotic Process Automation) can indeed be combined to create a new tech revolution. RPA is a technology that allows for the automation of repetitive tasks by using software robots, freeing up human employees to focus on more complex and creative work.
When combined with ChatGPT, which is an advanced language processing model, the automation possibilities become even greater. ChatGPT can be used to understand and respond to natural language input, allowing RPA bots to interact with users in a more human-like manner. Read this presentation to know more.
The document introduces the Semantic Web (Web 3.0) as an evolution from the current Web 2.0. It discusses the limitations of Web 2.0 in that web pages are designed for humans rather than machines. The Semantic Web aims to add meaning to provide machines with understanding of web content so they can work with data more like humans do. Everything on the Semantic Web will be assigned a URI and represented as relationships between subjects, predicates and objects. This will allow machines to more effectively search, find and share information across the internet.
This document provides a cheat sheet for Google search operators, parameters, and advanced search techniques. It outlines various operators that can be used to refine Google searches, such as using "site:" to search only a specific website or "define:" to find definitions. The cheat sheet also describes search parameters like "as_qdr" that can filter results by date. Examples are provided to demonstrate the usage of different operators for tasks like number, stock, or patent searching.
UNLEASHING INNOVATION Exploring Generative AI in the Enterprise.pdfHermes Romero
The document provides an overview of generative AI, including its key concepts and applications. It discusses transformer models versus neural networks, explaining that transformer models use self-attention to capture long-range dependencies in sequential data like text. Large language models (LLMs) based on the transformer architecture have shown strong performance in natural language generation tasks. The document outlines the evolution of generative AI techniques from early machine learning to modern large pretrained models. It also surveys some commercial generative AI applications in industries like healthcare, finance, and gaming.
What you need to know about Generative AI and Data Management?Denodo
Watch full webinar here: https://buff.ly/3UXy0A2
It should be no surprise that Generative AI will have a profound impact to data management in years to come. Much like other areas of the technology sector, the opportunities presented by GenAI will accelerate our efforts around all aspects of data management, including self-service, automation, data governance and security. On the other hand, it is also becoming clearer that to unleash the true potential of AI assistants powered by GenAI, we need novel implementation strategies and a reimagined data architecture. This presents an exhilarating yet challenging future, demanding innovative thinking and methodologies in data management.
Join us on this webinar to learn about:
- The opportunities and challenges presented by GenAI today.
- Exploiting GenAI to democratize data management.
- How to augment GenAI applications with corporate data and knowledge.
- How to get started.
Este documento trata sobre la descentralización en Venezuela. Define la descentralización como un proceso de transferencia de poder del gobierno central a las regiones y comunidades locales para construir un país más justo. Describe las características económicas, administrativas, institucionales y sociopolíticas de la descentralización y los antecedentes históricos del proceso en Venezuela. Explica el modelo actual de descentralización basado en las comunas y consejos comunales y los organismos institucionales que regulan la descentralización a nivel local, est
Este documento describe cómo crear y utilizar páginas maestras en ASP.NET. Explica que las páginas maestras permiten compartir elementos comunes como cabeceras, pies de página y navegación entre páginas web. Detalla los pasos para crear una página maestra con elementos comunes y luego vincular páginas de contenido a la página maestra para heredar esos elementos.
El documento describe dos tipos de movimiento: pasivos y activos. Los movimientos pasivos son impulsados por una fuerza externa, mientras que los movimientos activos son impulsados por la contracción muscular interna y el control voluntario.
Este documento presenta una secuencia didáctica para una clase de historia sobre los caudillos de la Revolución Mexicana. Los estudiantes aprenderán a identificar a los líderes revolucionarios, sus ideales y logros a través de actividades como observar objetos de la época, investigar biografías de los caudillos en equipos, y elaborar presentaciones que destaquen sus vidas y contribuciones.
Este documento presenta una entrevista ficticia con el personaje histórico El Negro Yanga, un rebelde africano que llegó a la Nueva España durante el periodo colonial. La entrevista explora la historia de Yanga, incluyendo su lugar de origen, su llegada y vida como esclavo en la Nueva España, sus motivos para rebelarse y escapar, y las condiciones bajo las cuales se le permitió fundar el pueblo de San Lorenzo de los Negros.
El documento describe brevemente la historia del desarrollo de Internet en México desde 1987 hasta 1996. En 1987, el Instituto Tecnológico de Monterrey se conectó a BITNET. En 1989, esta institución actualizó su conexión a Internet y México fue reconocido oficialmente por la red NSFnet. En 1990, la UNAM accedió a Internet a través de una conexión vía satélite.
Este documento apresenta o planejamento de um projeto pedagógico sobre o gênero folheto de cordel nordestino desenvolvido ao longo de 19 encontros. O objetivo geral é refletir sobre a importância da cultura nordestina a partir do estudo e produção do gênero folheto de cordel. Serão abordados temas como a diferença entre folheto e cordel, a influência da cultura oral, a representação da mulher e a variação linguística regional. As atividades incluem leituras, oficinas,
The document discusses the benefits of exercise for mental health. Regular physical activity can help reduce anxiety and depression and improve mood and cognitive function. Exercise causes chemical changes in the brain that may help protect against developing mental illness and improve symptoms for those who already suffer from conditions like anxiety and depression.
Auto Dealers app enables customers to shop vehicles easily on their Android, iOS, and Windows supported devices. Customers can search by categories like payment, price, model, and also save as favorites.
Apresentação do Pilar 3, da cadeira de Informática e Sociedade, do Curso de Engenharia da Computação, CIn - UFPE.
Esta atividade visa pôr em prática as etapas de desenvolvimento de uma ideia empreendedora, utilizando-se a Big Idea, Sinais, Forecast, Persona, Morckup, Protótipos, Impactos, entre outros.
Kindergarten thinking can help businesses by providing simple, creative solutions to complex problems without limitations. Customers want great experiences, so businesses should value customers and make every interaction awesome by personalizing service across channels to continue conversations.
El documento contiene varias cartas de amor de Ángela dirigidas a Krist, expresando su gran amor y devoción por él. Ángela dice que haría cualquier cosa por estar con Krist, desde alcanzar estrellas hasta cruzar mares. También expresa su adicción a los besos, abrazos y sonrisa de Krist, y que estar con él hace que cualquier esfuerzo valga la pena. Promete amar y apoyar a Krist cada día más.
Este curso prepara al alumno a desplegar de manera segura MS Windows 10.1. A su vez indica como usar herramientas disponibles para el usuario y que son muy poco conocidas por las empresas. Este curso esta destinado aquellos administradores de red sobre todo en ambientes corporativos.
The document discusses definitions of terrorism from different perspectives. It begins by outlining the main audiences for the term - FBI intelligence agents, law enforcement agencies, and everyday citizens. It then provides an informal definition of terrorism as extremists targeting others with different beliefs, and a formal definition as criminals targeting a class of individuals. The document traces the origins of the term "terrorism" from Latin and outlines some key historical events that shaped its meaning, including actions by Robespierre in France and Nazi Germany. Finally, it provides definitions used by the US Department of Defense and FBI and notes that understanding of terrorism continues to evolve over time and has many audiences depending on context.
Este documento proporciona instrucciones para completar una tarea comparando las ventanas de Word y PowerPoint. Se pide realizar un cuadro comparativo que identifique las diferencias y semejanzas entre las dos ventanas. Luego, se pide identificar las partes de la interfaz de usuario de PowerPoint y capturar y etiquetar las opciones de cada pestaña. Finalmente, se pide capturar y señalar cuatro iconos de cada pestaña de PowerPoint.
El documento describe diferentes tipos de materiales y herramientas digitales, incluyendo presentaciones, videos, fotos, marcadores sociales, materiales didácticos y de referencia. Define cada uno y enumera sus características, como la capacidad de compartir, editar y almacenar contenido de manera flexible para fines educativos y de negocios. También explora los impactos del uso electrónico en áreas como la educación, los negocios y el gobierno.
Personal report of "UX STRAT2014" that is the conference of User eXperience Strategy.
Written by Yuichi Inobori, INFOBAHN Inc. (digital and content marketing Agnency, Japan. My background is in field of Design Research and UX design.)