Wikidata is an online free knowledge base launched in 2013 that contains over 18 million items and 60 million statements about topics from around the world. Unlike Wikipedia, Wikidata aims to collect facts rather than entire articles, with all data contributed under public domain licenses. While initially focused on complementing Wikipedia, Wikidata is now used in a variety of science and research applications including medicine, biology, mapping historical timelines, and visualizing genealogical relationships.
Wikipedia infobox type_prediction_slides_dl4_k_gsRussa Biswas
This document discusses predicting Wikipedia infobox types using embeddings. It notes that Wikipedia infobox types provide type information for knowledge graphs like DBpedia, but 70% of infobox types are missing. The goal is to predict infobox types for articles using features like the abstract, table of contents, and named entities, represented as embeddings. An evaluation on 30 common infobox types shows combining the abstract and table of contents in a random forest achieves 88% accuracy. Future work involves using network embeddings to better represent named entities.
1. The document appears to be a report from Rist Inc. detailing developments in their deep learning research from 1991 to 2019.
2. It discusses various deep learning applications such as detecting diseases in medical images and generating videos.
3. The report also examines topics like deep safety and ensuring AI systems are beneficial to humanity.
This document discusses using Python and PyData tools for baseball analytics. It introduces Shinichi Nakagawa, a baseball analyst and Python expert. It explains common PyData tools like Grafana, Redash and Jupyter Notebook, and how they can be used to visualize and analyze baseball metrics and stats. It also discusses using Python and scraping to analyze run creation (RC) and run creation per 27 outs (RC27) stats to evaluate player and team performance.
The document is a collection of random characters and symbols with no discernible meaning or purpose. It consists entirely of copyright notices and random letters, numbers, and punctuation that do not form words or sentences. There is no information, ideas, or concepts contained within the document.
The document discusses various ways to implement scheduled tasks and batch processing on AWS using services like Amazon EC2, ECS, Lambda, DynamoDB, and others. It provides examples of using EC2 instances, ECS, Lambda, and Fargate with scheduled events for periodic tasks as well as using SQS and DynamoDB for asynchronous batch processing. It also discusses using auto scaling, load balancing, and caching with these implementations.
The document appears to be a collection of cryptic symbols, code snippets, and short phrases that do not form coherent sentences or convey clear meaning on their own. It is difficult to extract a concise high-level summary due to the ambiguous and obscure nature of the content.
The document appears to be technical documentation or whitepaper from AWS that contains encrypted or randomized text, code snippets, and short passages of text around software development, security, and cloud infrastructure. It discusses topics like identity and access management, data protection, risk assessment, and provides lists of AWS services related to infrastructure protection, systems management, and security monitoring. However, much of the content is garbled or unclear without the proper context.
Wikidata is an online free knowledge base launched in 2013 that contains over 18 million items and 60 million statements about topics from around the world. Unlike Wikipedia, Wikidata aims to collect facts rather than entire articles, with all data contributed under public domain licenses. While initially focused on complementing Wikipedia, Wikidata is now used in a variety of science and research applications including medicine, biology, mapping historical timelines, and visualizing genealogical relationships.
Wikipedia infobox type_prediction_slides_dl4_k_gsRussa Biswas
This document discusses predicting Wikipedia infobox types using embeddings. It notes that Wikipedia infobox types provide type information for knowledge graphs like DBpedia, but 70% of infobox types are missing. The goal is to predict infobox types for articles using features like the abstract, table of contents, and named entities, represented as embeddings. An evaluation on 30 common infobox types shows combining the abstract and table of contents in a random forest achieves 88% accuracy. Future work involves using network embeddings to better represent named entities.
1. The document appears to be a report from Rist Inc. detailing developments in their deep learning research from 1991 to 2019.
2. It discusses various deep learning applications such as detecting diseases in medical images and generating videos.
3. The report also examines topics like deep safety and ensuring AI systems are beneficial to humanity.
This document discusses using Python and PyData tools for baseball analytics. It introduces Shinichi Nakagawa, a baseball analyst and Python expert. It explains common PyData tools like Grafana, Redash and Jupyter Notebook, and how they can be used to visualize and analyze baseball metrics and stats. It also discusses using Python and scraping to analyze run creation (RC) and run creation per 27 outs (RC27) stats to evaluate player and team performance.
The document is a collection of random characters and symbols with no discernible meaning or purpose. It consists entirely of copyright notices and random letters, numbers, and punctuation that do not form words or sentences. There is no information, ideas, or concepts contained within the document.
The document discusses various ways to implement scheduled tasks and batch processing on AWS using services like Amazon EC2, ECS, Lambda, DynamoDB, and others. It provides examples of using EC2 instances, ECS, Lambda, and Fargate with scheduled events for periodic tasks as well as using SQS and DynamoDB for asynchronous batch processing. It also discusses using auto scaling, load balancing, and caching with these implementations.
The document appears to be a collection of cryptic symbols, code snippets, and short phrases that do not form coherent sentences or convey clear meaning on their own. It is difficult to extract a concise high-level summary due to the ambiguous and obscure nature of the content.
The document appears to be technical documentation or whitepaper from AWS that contains encrypted or randomized text, code snippets, and short passages of text around software development, security, and cloud infrastructure. It discusses topics like identity and access management, data protection, risk assessment, and provides lists of AWS services related to infrastructure protection, systems management, and security monitoring. However, much of the content is garbled or unclear without the proper context.
[db tech showcase Tokyo 2018] #dbts2018 #C32 『Deep Dive on the Amazon Aurora ...Insight Technology, Inc.
This document discusses Amazon Aurora, a MySQL and PostgreSQL compatible relational database built for the cloud. It provides three key advantages over traditional databases: self-healing with automatic failover, up to five times the throughput of MySQL, and up to three times the performance of PostgreSQL. Aurora is optimized for very high performance and availability and scales seamlessly to meet application demands.
The document discusses Amazon Web Services and includes sections about Kinesis Data Streams, Kinesis Data Firehose, Amazon S3, Amazon Redshift, and Amazon QuickSight. It provides high-level descriptions of the services and how they work together to collect, process, store and analyze streaming data.
2018-06-24 saveMLAK Wiki Tutorial for VeteranYuka Egusa
This document discusses efforts to archive and preserve information about MLAK, an online library in Japan. It provides instructions for archiving web pages using Archive.org, editing reference tags, and categorizing pages on the SaveMLAK wiki. URLs are given for the SaveMLAK website and wiki, as well as pages to archive, edit, and improve categorization of information about MLAK.
Establishing and Verifying Fixity of Archived Web Pagesmaturban
This document summarizes Mohamed Aturban's doctoral research proposal on establishing and verifying fixity of archived web pages. The proposal discusses challenges in ensuring archived web pages have not been altered, as pages retrieved from archives at different times may contain different content. Aturban plans to develop an archive-aware hashing approach to generate repeatable fixity information for archived pages and a framework for verifying fixity over time. The framework would address issues such as archives transforming pages and resources changing on the live web.
Introduction to the FAPI Read & Write OAuth Profile - Jan 2018 UpdatesNat Sakimura
APIDays Paris 2018 presentaion by Nat Sakimura.
Talking about Part 1, 2, and new Part 3 with examples.
My twitter: @_nat_en
Follow me on Youtube: https://www.youtube.com/NatSakimura
Blog: https://nat.sakimura.org/
The document appears to be a collection of copyrighted images, graphics, text fragments and other unconnected information without a clear overall topic or summary. It includes various technical terms related to IT, cloud computing, software development and project management, but does not provide enough context to form a coherent multi-sentence summary.
The document discusses OpenStreetMap (OSM), a collaborative project to create a free editable map of the world. It notes that OSM is free to use and adapt unlike Google Maps, which has usage restrictions. The document then provides examples of how to collect map data for OSM, such as walking with a GPS or tracing satellite images. Later, it summarizes OSM's use after the 2011 Tohoku earthquake and tsunami in Japan, with over 10,000 reports, 1 million page views per month on its crisis mapping site sinsai.info.
The document discusses Google Assistant apps and building Google Actions using Node.js. It covers Namito Satoyama's presentation at Interop Tokyo Conference 2018 on AI and building Google Actions for Google Assistant, Google Maps, and other platforms using JavaScript and Node.js. The presentation included information on the Actions on Google client library, how to set up a Firebase project to deploy functions, and developing Google Actions for various devices and interfaces.
This document discusses various machine learning algorithms and techniques including A/B testing, epsilon-greedy, softmax, UCB, DQN, and AlphaGo. It provides examples of these algorithms and how companies like Google, Facebook, and OPT are applying artificial intelligence and deep learning to areas such as computer Go, recommendation systems, and computer vision. Copyright notices are repeated throughout the document.
This document discusses the longevity of the PostgreSQL open source database. It begins by introducing Bruce Momjian, the presenter, who has worked on PostgreSQL since 1996. The presentation then covers several topics:
The long life of open source software compared to proprietary software. Open source software can continue to be developed by the community even after the original developers move on.
The many areas of innovation in PostgreSQL over the years, from its beginnings in academia to its rich ecosystem of extensions today. Features like JSON, geospatial data types, and foreign data wrappers have expanded its capabilities.
How the open source development model and large community have allowed PostgreSQL to continually add new features and remain competitive with commercial databases. Its adoption continues
Внедрение SDLC в боевых условиях / Егор Карбутов (Digital Security)Ontico
РИТ++ 2017, секция ML + IoT + ИБ
Зал Белу-Оризонти, 5 июня, 12:00
Тезисы:
http://ritfest.ru/2017/abstracts/2758.html
Наш доклад на тему, которая практически не имеет подробного описания в интернете. Мы хотим рассказать, как мы (Digital Security) - компания, которая специализируется на анализе защищённости и исследованиях в области ИБ - внедрились в цикл разработки продуктов. Посвятим немного времени SDLC.
Расскажем историю внедрения своей команды для повышения общего уровня безопасности различных аспектов в уже существующий большой проект. Опишем, как строим свои процессы от общего выделения времени, разделения большого количества различных сервисов на компоненты, до отдельных уязвимостей и применяемых нами тулзов.
Streaming Trend Discovery: Real-Time Discovery in a Sea of Events with Scott ...Databricks
Time is the one thing we can never get in front of. It is rooted in everything, and “timeliness” is now more important than ever especially as we see businesses automate more and more of their processes. This presentation will scratch the surface of streaming discovery with a deeper dive into the telecommunications space where it is normal to receive billions of events a day from globally distributed sub-systems and where key decisions “must” be automated.
We’ll start out with a quick primer on telecommunications, an overview of the key components of our architecture, and make a case for the importance of “ringing”. We will then walk through a simplified solution for doing windowed histogram analysis and labeling of data in flight using Spark Structured Streaming and mapGroupsWithState. I will walk through some suggestions for scaling up to billions of events, managing memory when using the spark StateStore as well as how to avoid pitfalls with the serialized data stored there.
What you’ll learn:
1. How to use the new features of Spark 2.2.0 (mapGroupsWithState / StateStore)
2. How to bucket and analyze data in the streaming world
3. How to avoid common Serialization mistakes (eg. how to upgrade application code and retain stored state)
4. More about the telecommunications space than you’ll probably want to know!
5. Learn a new approach to building applications for enterprise and production.
Assumptions:
1. You know Scala – or want to know more about it.
2. You have deployed spark to production at your company or want to
3. You want to learn some neat tricks that may save you tons of time!
Take Aways:
1. Fully functioning spark app – with unit tests!
What were the results of World IPv6 Day? Who participated? What results did they see? What were lessons to be learned? In this presentation at the Internet ON (ION) Conference in Toronto on November 14, 2011, the Internet Society's Dan York walked through these points and more in a 15-minute presentation.
A video recording of the session will be available for viewing. Details will be posted at http://www.isoc.org/do/blog/ when the video is available.
More information about the global series of ION conferences can be found at http://www.isoc.org/ion/
What were the results of World IPv6 Day? Who participated? What results did they see? What were lessons to be learned? In this presentation at the Internet ON (ION) Conference in Toronto on November 14, 2011, the Internet Society’s Dan York walked through these points and more in a 15-minute presentation.
[db tech showcase Tokyo 2018] #dbts2018 #C32 『Deep Dive on the Amazon Aurora ...Insight Technology, Inc.
This document discusses Amazon Aurora, a MySQL and PostgreSQL compatible relational database built for the cloud. It provides three key advantages over traditional databases: self-healing with automatic failover, up to five times the throughput of MySQL, and up to three times the performance of PostgreSQL. Aurora is optimized for very high performance and availability and scales seamlessly to meet application demands.
The document discusses Amazon Web Services and includes sections about Kinesis Data Streams, Kinesis Data Firehose, Amazon S3, Amazon Redshift, and Amazon QuickSight. It provides high-level descriptions of the services and how they work together to collect, process, store and analyze streaming data.
2018-06-24 saveMLAK Wiki Tutorial for VeteranYuka Egusa
This document discusses efforts to archive and preserve information about MLAK, an online library in Japan. It provides instructions for archiving web pages using Archive.org, editing reference tags, and categorizing pages on the SaveMLAK wiki. URLs are given for the SaveMLAK website and wiki, as well as pages to archive, edit, and improve categorization of information about MLAK.
Establishing and Verifying Fixity of Archived Web Pagesmaturban
This document summarizes Mohamed Aturban's doctoral research proposal on establishing and verifying fixity of archived web pages. The proposal discusses challenges in ensuring archived web pages have not been altered, as pages retrieved from archives at different times may contain different content. Aturban plans to develop an archive-aware hashing approach to generate repeatable fixity information for archived pages and a framework for verifying fixity over time. The framework would address issues such as archives transforming pages and resources changing on the live web.
Introduction to the FAPI Read & Write OAuth Profile - Jan 2018 UpdatesNat Sakimura
APIDays Paris 2018 presentaion by Nat Sakimura.
Talking about Part 1, 2, and new Part 3 with examples.
My twitter: @_nat_en
Follow me on Youtube: https://www.youtube.com/NatSakimura
Blog: https://nat.sakimura.org/
The document appears to be a collection of copyrighted images, graphics, text fragments and other unconnected information without a clear overall topic or summary. It includes various technical terms related to IT, cloud computing, software development and project management, but does not provide enough context to form a coherent multi-sentence summary.
The document discusses OpenStreetMap (OSM), a collaborative project to create a free editable map of the world. It notes that OSM is free to use and adapt unlike Google Maps, which has usage restrictions. The document then provides examples of how to collect map data for OSM, such as walking with a GPS or tracing satellite images. Later, it summarizes OSM's use after the 2011 Tohoku earthquake and tsunami in Japan, with over 10,000 reports, 1 million page views per month on its crisis mapping site sinsai.info.
The document discusses Google Assistant apps and building Google Actions using Node.js. It covers Namito Satoyama's presentation at Interop Tokyo Conference 2018 on AI and building Google Actions for Google Assistant, Google Maps, and other platforms using JavaScript and Node.js. The presentation included information on the Actions on Google client library, how to set up a Firebase project to deploy functions, and developing Google Actions for various devices and interfaces.
This document discusses various machine learning algorithms and techniques including A/B testing, epsilon-greedy, softmax, UCB, DQN, and AlphaGo. It provides examples of these algorithms and how companies like Google, Facebook, and OPT are applying artificial intelligence and deep learning to areas such as computer Go, recommendation systems, and computer vision. Copyright notices are repeated throughout the document.
This document discusses the longevity of the PostgreSQL open source database. It begins by introducing Bruce Momjian, the presenter, who has worked on PostgreSQL since 1996. The presentation then covers several topics:
The long life of open source software compared to proprietary software. Open source software can continue to be developed by the community even after the original developers move on.
The many areas of innovation in PostgreSQL over the years, from its beginnings in academia to its rich ecosystem of extensions today. Features like JSON, geospatial data types, and foreign data wrappers have expanded its capabilities.
How the open source development model and large community have allowed PostgreSQL to continually add new features and remain competitive with commercial databases. Its adoption continues
Внедрение SDLC в боевых условиях / Егор Карбутов (Digital Security)Ontico
РИТ++ 2017, секция ML + IoT + ИБ
Зал Белу-Оризонти, 5 июня, 12:00
Тезисы:
http://ritfest.ru/2017/abstracts/2758.html
Наш доклад на тему, которая практически не имеет подробного описания в интернете. Мы хотим рассказать, как мы (Digital Security) - компания, которая специализируется на анализе защищённости и исследованиях в области ИБ - внедрились в цикл разработки продуктов. Посвятим немного времени SDLC.
Расскажем историю внедрения своей команды для повышения общего уровня безопасности различных аспектов в уже существующий большой проект. Опишем, как строим свои процессы от общего выделения времени, разделения большого количества различных сервисов на компоненты, до отдельных уязвимостей и применяемых нами тулзов.
Streaming Trend Discovery: Real-Time Discovery in a Sea of Events with Scott ...Databricks
Time is the one thing we can never get in front of. It is rooted in everything, and “timeliness” is now more important than ever especially as we see businesses automate more and more of their processes. This presentation will scratch the surface of streaming discovery with a deeper dive into the telecommunications space where it is normal to receive billions of events a day from globally distributed sub-systems and where key decisions “must” be automated.
We’ll start out with a quick primer on telecommunications, an overview of the key components of our architecture, and make a case for the importance of “ringing”. We will then walk through a simplified solution for doing windowed histogram analysis and labeling of data in flight using Spark Structured Streaming and mapGroupsWithState. I will walk through some suggestions for scaling up to billions of events, managing memory when using the spark StateStore as well as how to avoid pitfalls with the serialized data stored there.
What you’ll learn:
1. How to use the new features of Spark 2.2.0 (mapGroupsWithState / StateStore)
2. How to bucket and analyze data in the streaming world
3. How to avoid common Serialization mistakes (eg. how to upgrade application code and retain stored state)
4. More about the telecommunications space than you’ll probably want to know!
5. Learn a new approach to building applications for enterprise and production.
Assumptions:
1. You know Scala – or want to know more about it.
2. You have deployed spark to production at your company or want to
3. You want to learn some neat tricks that may save you tons of time!
Take Aways:
1. Fully functioning spark app – with unit tests!
What were the results of World IPv6 Day? Who participated? What results did they see? What were lessons to be learned? In this presentation at the Internet ON (ION) Conference in Toronto on November 14, 2011, the Internet Society's Dan York walked through these points and more in a 15-minute presentation.
A video recording of the session will be available for viewing. Details will be posted at http://www.isoc.org/do/blog/ when the video is available.
More information about the global series of ION conferences can be found at http://www.isoc.org/ion/
What were the results of World IPv6 Day? Who participated? What results did they see? What were lessons to be learned? In this presentation at the Internet ON (ION) Conference in Toronto on November 14, 2011, the Internet Society’s Dan York walked through these points and more in a 15-minute presentation.
Similar to 第81回米国アーキビスト協会(SAA)年次大会参加報告:図書館と文書館・アーカイブズとの共通点・相違点も意識しつつ(古賀崇) (14)
The Antyodaya Saral Haryana Portal is a pioneering initiative by the Government of Haryana aimed at providing citizens with seamless access to a wide range of government services
UN WOD 2024 will take us on a journey of discovery through the ocean's vastness, tapping into the wisdom and expertise of global policy-makers, scientists, managers, thought leaders, and artists to awaken new depths of understanding, compassion, collaboration and commitment for the ocean and all it sustains. The program will expand our perspectives and appreciation for our blue planet, build new foundations for our relationship to the ocean, and ignite a wave of action toward necessary change.
Food safety, prepare for the unexpected - So what can be done in order to be ready to address food safety, food Consumers, food producers and manufacturers, food transporters, food businesses, food retailers can ...
RFP for Reno's Community Assistance CenterThis Is Reno
Property appraisals completed in May for downtown Reno’s Community Assistance and Triage Centers (CAC) reveal that repairing the buildings to bring them back into service would cost an estimated $10.1 million—nearly four times the amount previously reported by city staff.
Indira awas yojana housing scheme renamed as PMAYnarinav14
Indira Awas Yojana (IAY) played a significant role in addressing rural housing needs in India. It emerged as a comprehensive program for affordable housing solutions in rural areas, predating the government’s broader focus on mass housing initiatives.
United Nations World Oceans Day 2024; June 8th " Awaken new dephts".Christina Parmionova
The program will expand our perspectives and appreciation for our blue planet, build new foundations for our relationship to the ocean, and ignite a wave of action toward necessary change.
Combined Illegal, Unregulated and Unreported (IUU) Vessel List.Christina Parmionova
The best available, up-to-date information on all fishing and related vessels that appear on the illegal, unregulated, and unreported (IUU) fishing vessel lists published by Regional Fisheries Management Organisations (RFMOs) and related organisations. The aim of the site is to improve the effectiveness of the original IUU lists as a tool for a wide variety of stakeholders to better understand and combat illegal fishing and broader fisheries crime.
To date, the following regional organisations maintain or share lists of vessels that have been found to carry out or support IUU fishing within their own or adjacent convention areas and/or species of competence:
Commission for the Conservation of Antarctic Marine Living Resources (CCAMLR)
Commission for the Conservation of Southern Bluefin Tuna (CCSBT)
General Fisheries Commission for the Mediterranean (GFCM)
Inter-American Tropical Tuna Commission (IATTC)
International Commission for the Conservation of Atlantic Tunas (ICCAT)
Indian Ocean Tuna Commission (IOTC)
Northwest Atlantic Fisheries Organisation (NAFO)
North East Atlantic Fisheries Commission (NEAFC)
North Pacific Fisheries Commission (NPFC)
South East Atlantic Fisheries Organisation (SEAFO)
South Pacific Regional Fisheries Management Organisation (SPRFMO)
Southern Indian Ocean Fisheries Agreement (SIOFA)
Western and Central Pacific Fisheries Commission (WCPFC)
The Combined IUU Fishing Vessel List merges all these sources into one list that provides a single reference point to identify whether a vessel is currently IUU listed. Vessels that have been IUU listed in the past and subsequently delisted (for example because of a change in ownership, or because the vessel is no longer in service) are also retained on the site, so that the site contains a full historic record of IUU listed fishing vessels.
Unlike the IUU lists published on individual RFMO websites, which may update vessel details infrequently or not at all, the Combined IUU Fishing Vessel List is kept up to date with the best available information regarding changes to vessel identity, flag state, ownership, location, and operations.