The Semantic Web is an evolving development of the World Wide Web in which the word semantic stands for the meaning of. The semantic of something is the meaning of something. The Semantic Web or Web 2.0 or Web3.0 is a “Web of data” that enables machines to understand the semantics or meaning. Of information on the World Wide Web. It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other. Enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. The term was coined by Tim Beemers-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium. Which oversees the development of the proposal Semantic Web standards? He defines the Semantic Web as “a web of data that can be processed directly and
indirectly by machines.”
The Semantic Web is an evolving development of the World Wide Web in which the word semantic stands for the meaning of. The semantic of something is the meaning of something. The Semantic Web or Web 2.0 or Web3.0 is a “Web of data” that enables machines to understand the semantics or meaning. Of information on the World Wide Web. It extends the network of hyperlinked human-readable web pages by inserting machine-readable metadata about pages and how they are related to each other. Enabling automated agents to access the Web more intelligently and perform tasks on behalf of users. The term was coined by Tim Beemers-Lee, the inventor of the World Wide Web and director of the World Wide Web Consortium. Which oversees the development of the proposal Semantic Web standards? He defines the Semantic Web as “a web of data that can be processed directly and
indirectly by machines.”
This is a lecture note #1 for my class of Graduate School of Yonsei University, Korea.
It describes overview of the Semantic Web, its recommendations, and case studies.
Building a semantic search system - one that can correctly parse and interpret end-user intent and return the ideal results for users’ queries - is not an easy task. It requires semantically parsing the terms, phrases, and structure within queries, disambiguating polysemous terms, correcting misspellings, expanding to conceptually synonymous or related concepts, and rewriting queries in a way that maps the correct interpretation of each end user’s query into the ideal representation of features and weights that will return the best results for that user. Not only that, but the above must often be done within the confines of a very specific domain - ripe with its own jargon and linguistic and conceptual nuances.
This talk will walk through the anatomy of a semantic search system and how each of the pieces described above fit together to deliver a final solution. We'll leverage several recently-released capabilities in Apache Solr (the Semantic Knowledge Graph, Solr Text Tagger, Statistical Phrase Identifier) and Lucidworks Fusion (query log mining, misspelling job, word2vec job, query pipelines, relevancy experiment backtesting) to show you an end-to-end working Semantic Search system that can automatically learn the nuances of any domain and deliver a substantially more relevant search experience.
Natural Language Search with Knowledge Graphs (Activate 2019)Trey Grainger
To optimally interpret most natural language queries, its important to understand a highly-nuanced, contextual interpretation of the domain-specific phrases, entities, commands, and relationships represented or implied within the search and within your domain.
In this talk, we'll walk through such a search system powered by Solr's Text Tagger and Semantic Knowledge graph. We'll have fun with some of the more search-centric use cases of knowledge graphs, such as entity extraction, query expansion, disambiguation, and pattern identification within our queries: for example, transforming the query "best bbq near activate" into:
{!func}mul(min(popularity,1),100) bbq^0.91032 ribs^0.65674 brisket^0.63386 doc_type:"restaurant" {!geofilt d=50 sfield="coordinates_pt" pt="38.916120,-77.045220"}
We'll see a live demo with real world data demonstrating how you can build and apply your own knowledge graphs to power much more relevant query understanding like this within your search engine.
پرهام باغستانی خواهد گفت: در آینده بسیاری از فناوریها و نرمافزارها مبتنی بر وب خواهند بود و مفاهیم جدیدی مبتنی بر وب بوجود خواهد آمد که بستر ارائه دهنده خدمات متنوعی نظیر پرداخت در بستر وب، وب اشیاء، وب برای سختافزارها و بستری برای تبادل دادهها مبتنی بر وب خواهد بود. در این ارائه به تاثیر وب بر روی سامانههای مختلف پرداخته خواهد شد که وب چگونه ابزارهای مختلف را تحت تاثیر خود قرار داده است و کنسرسیوم جهانی وب چگونه تلاش میکند تا با تدوین استاندارد همه حوزهها را تحت پوشش قرار دهد.
این ارائه برای اولین همایش آینده طراحی وب طراحی و ارائه گردیده است.
http://conf.wsschool.org/fowd
This is a lecture note #1 for my class of Graduate School of Yonsei University, Korea.
It describes overview of the Semantic Web, its recommendations, and case studies.
Building a semantic search system - one that can correctly parse and interpret end-user intent and return the ideal results for users’ queries - is not an easy task. It requires semantically parsing the terms, phrases, and structure within queries, disambiguating polysemous terms, correcting misspellings, expanding to conceptually synonymous or related concepts, and rewriting queries in a way that maps the correct interpretation of each end user’s query into the ideal representation of features and weights that will return the best results for that user. Not only that, but the above must often be done within the confines of a very specific domain - ripe with its own jargon and linguistic and conceptual nuances.
This talk will walk through the anatomy of a semantic search system and how each of the pieces described above fit together to deliver a final solution. We'll leverage several recently-released capabilities in Apache Solr (the Semantic Knowledge Graph, Solr Text Tagger, Statistical Phrase Identifier) and Lucidworks Fusion (query log mining, misspelling job, word2vec job, query pipelines, relevancy experiment backtesting) to show you an end-to-end working Semantic Search system that can automatically learn the nuances of any domain and deliver a substantially more relevant search experience.
Natural Language Search with Knowledge Graphs (Activate 2019)Trey Grainger
To optimally interpret most natural language queries, its important to understand a highly-nuanced, contextual interpretation of the domain-specific phrases, entities, commands, and relationships represented or implied within the search and within your domain.
In this talk, we'll walk through such a search system powered by Solr's Text Tagger and Semantic Knowledge graph. We'll have fun with some of the more search-centric use cases of knowledge graphs, such as entity extraction, query expansion, disambiguation, and pattern identification within our queries: for example, transforming the query "best bbq near activate" into:
{!func}mul(min(popularity,1),100) bbq^0.91032 ribs^0.65674 brisket^0.63386 doc_type:"restaurant" {!geofilt d=50 sfield="coordinates_pt" pt="38.916120,-77.045220"}
We'll see a live demo with real world data demonstrating how you can build and apply your own knowledge graphs to power much more relevant query understanding like this within your search engine.
پرهام باغستانی خواهد گفت: در آینده بسیاری از فناوریها و نرمافزارها مبتنی بر وب خواهند بود و مفاهیم جدیدی مبتنی بر وب بوجود خواهد آمد که بستر ارائه دهنده خدمات متنوعی نظیر پرداخت در بستر وب، وب اشیاء، وب برای سختافزارها و بستری برای تبادل دادهها مبتنی بر وب خواهد بود. در این ارائه به تاثیر وب بر روی سامانههای مختلف پرداخته خواهد شد که وب چگونه ابزارهای مختلف را تحت تاثیر خود قرار داده است و کنسرسیوم جهانی وب چگونه تلاش میکند تا با تدوین استاندارد همه حوزهها را تحت پوشش قرار دهد.
این ارائه برای اولین همایش آینده طراحی وب طراحی و ارائه گردیده است.
http://conf.wsschool.org/fowd
This is the presentation slides of Joqd's announcement at First Iranian Web Developer Conference (irDevConf) .
Joqd is first Iranian web development framework which is useful for anyone, specially people with RTL languages.
Web 3.0 - Introduction to the Semantic Web Fady Ramzy
Web 3.0 is changing the way we use the Internet, Computers understand the meaning of what we publish on the Web
Web 3.0 is the next step in the evolution of the Internet and Web applications. Learn about the concept of Web 3.0 and Web 3.0 development
This presentation provides a top down introduction to semantics and Web 3.0
It is intended for the busy executive or developer who want to understand quickly why this new technological wave is relevant
For a “one slide presentation” see the first slide only
For a general introduction, see only the slides of the first section
Following slides about semantic technologies, architectures and applications
Web 3.0 explained with a stamp (pt II: techniques)Freek Bijl
What really means web 3.0, or: the semantic web? With this second presentation I explain the meaning of web 3.0 by an example of a stamp collection. This presentation is a translation of a Dutch version made earlier. For more detailed information in Dutch you can have a look at BijlBrand.nl
Web 3.0 explained with a stamp (pt I: the basics)Freek Bijl
What really means web 3.0, or: the semantic web? With this presentation I explain the meaning of web 3.0 by an example of a stamp collection. This presentation is a translation of a Dutch version made earlier. For more detailed information in Dutch you can have a look at BijlBrand.nl
The Next Big Thing is Web 3.0. Catch It If You Can Judy O'Connell
The best minds on our planet are suggesting that the Internet will continue to be arguably the most influential invention of our time. We are in the midst of a highly dynamic and dramatically changing landscape. Where Web 1.0 made us consumers of information, Web 2.0 allowed us to be participators and creators. Web 3.0 and the Semantic Web technologies are beginning to play a larger and more significant role in the search and filtering of the content fire hose that teachers and students encounter each day. How will the semantic web influence our learning and teaching encounters on the web? What is the connection between meaning and data? Will search or discovery be the main driving force in the 3.0 information revolution? How will information and knowledge creation in a semantic-powered online world develop? This session will draw on Semantic Web research and developments and show how connecting, collaborating and networking in a Web 3.0 world is changing the ground-rules once again.
How I Use Google Technology to Enhance Travel ExperienceJustin Lee
Google DevFest 2010 Taipei: Local Demos #2
Justin Lee (李易修) speaked about his experience writing Google Maps Mashup and Chrome Extensions (including PlaceClipr, PrintMyMap, Fourlickr).
12. I love you.
Does the meaning changed?
No, but machine don’t know.
13. what machine see what human see
http://www.w3.org/TR/xhtml-rdfa-primer/
14. The goals of semantic web
Spend less time searching
Spend less time looking at things that do not matter
Spend less time explaining what we want to computers