Schema.org offers web managers the ability to add structured markup to web pages to help search engines understand the information and provide richer search results. A shared markup vocabulary from Schema.org makes it easier for webmasters to decide on a schema and get maximum benefits. Schema.org markup can also enable new tools and applications by making use of the structured data.
Online Collections Crawlability for Libraries, Archives, and Museumsmherbison
The Goal is Crawlability.
Allow and encourage webcrawlers to access everything on your website that you want users to be able to find.
(1) If webcrawlers can’t get to your stuff...
(2) Search engines won’t index your stuff...
(3) Your stuff won’t turn up in users’ web searches...
(4) Users won’t find your stuff!
IST 561 Spring 2007--Session7, Sources of InformationD.A. Garofalo
Presentation provides a brief overview of Internet searching, Boolean operators, and internet resources of use to libraries in providing reference services.
These are slides of a tutorial at ECIR by Gerard de Melo and Katja Hose.
Search is currently undergoing a major paradigm shift away from the traditional document-centric “10 blue links” towards more explicit and actionable information. Recent advances in this area are Google’s Knowledge Graph, Virtual Personal Assistants such as Siri and Google Now, as well as the now ubiquitous entity-oriented vertical search results for places, products, etc. Apart from novel query understanding methods, these developments are largely driven by structured data that is blended into the Web Search experience. We discuss efficient indexing and query processing techniques to work with large amounts of structured data. Finally, we present query interpretation and understanding methods to map user queries to these structured data sources.
Being found in commercial search engines, like Google, and writing indexable content have largely been on the periphery of library web development practice. In this session, we will explore the mechanics and principles of white hat SEO, identify components that contribute to successful harvesting of library web sites and microsites, and discuss the need to make library content findable in broader online settings. Come learn why SEO is not just "snake oil" and can be an integral part of library marketing and outreach initiatives.
Presented by Jason Clark: Jason is the Head of Digital Access and Web Services at Montana State University Library, where he builds library web applications and sets digital content strategies. You can find him online at http://jasonclark.info/ or on Twitter @jaclark.
Online Collections Crawlability for Libraries, Archives, and Museumsmherbison
The Goal is Crawlability.
Allow and encourage webcrawlers to access everything on your website that you want users to be able to find.
(1) If webcrawlers can’t get to your stuff...
(2) Search engines won’t index your stuff...
(3) Your stuff won’t turn up in users’ web searches...
(4) Users won’t find your stuff!
IST 561 Spring 2007--Session7, Sources of InformationD.A. Garofalo
Presentation provides a brief overview of Internet searching, Boolean operators, and internet resources of use to libraries in providing reference services.
These are slides of a tutorial at ECIR by Gerard de Melo and Katja Hose.
Search is currently undergoing a major paradigm shift away from the traditional document-centric “10 blue links” towards more explicit and actionable information. Recent advances in this area are Google’s Knowledge Graph, Virtual Personal Assistants such as Siri and Google Now, as well as the now ubiquitous entity-oriented vertical search results for places, products, etc. Apart from novel query understanding methods, these developments are largely driven by structured data that is blended into the Web Search experience. We discuss efficient indexing and query processing techniques to work with large amounts of structured data. Finally, we present query interpretation and understanding methods to map user queries to these structured data sources.
Being found in commercial search engines, like Google, and writing indexable content have largely been on the periphery of library web development practice. In this session, we will explore the mechanics and principles of white hat SEO, identify components that contribute to successful harvesting of library web sites and microsites, and discuss the need to make library content findable in broader online settings. Come learn why SEO is not just "snake oil" and can be an integral part of library marketing and outreach initiatives.
Presented by Jason Clark: Jason is the Head of Digital Access and Web Services at Montana State University Library, where he builds library web applications and sets digital content strategies. You can find him online at http://jasonclark.info/ or on Twitter @jaclark.
Based upon:
McIntosh, P. (2009). Gender perspectives on educating for global citizenship. In D. J. Flinders & S.J. Thornton (Eds.), The curriculum studies reader (3rd ed., pp. 399-424). New York: RoutledgeFalmer.
What is the current status quo of the Semantic Web as first mentioned by Tim Berners Lee in 2001?
Not only 10 blue links can drive you traffic anymore, Google has added many so called Knowlegde cards and panels to answer the specific informational need of their users. Sounds complicated, but it isn’t. If you ask for information, Google will try to answer it within the result pages.
I'll share my research from a theoretical point of view through exploring patents and papers, and actual testing cases in the live indices of Google. Getting your site listed as the source of an Answer Card can result in an increase of CTR as much as 16%. How to get listed? Come join my session and I'll shine some light on the factors that come into play when optimizing for Google's Knowledge graph.
Based upon:
McIntosh, P. (2009). Gender perspectives on educating for global citizenship. In D. J. Flinders & S.J. Thornton (Eds.), The curriculum studies reader (3rd ed., pp. 399-424). New York: RoutledgeFalmer.
What is the current status quo of the Semantic Web as first mentioned by Tim Berners Lee in 2001?
Not only 10 blue links can drive you traffic anymore, Google has added many so called Knowlegde cards and panels to answer the specific informational need of their users. Sounds complicated, but it isn’t. If you ask for information, Google will try to answer it within the result pages.
I'll share my research from a theoretical point of view through exploring patents and papers, and actual testing cases in the live indices of Google. Getting your site listed as the source of an Answer Card can result in an increase of CTR as much as 16%. How to get listed? Come join my session and I'll shine some light on the factors that come into play when optimizing for Google's Knowledge graph.
In this guide, we will go over all the core concepts of large-scale web scraping and learn everything about it, from challenges to best practices. Large Scale Web Scraping is scraping web pages and extracting data from them. This can be done manually or with automated tools. The extracted data can then be used to build charts and graphs, create reports and perform other analyses on the data. It can be used to analyze large amounts of data, like traffic on a website or the number of visitors they receive. In addition, It can also be used to test different website versions so that you know which version gets more traffic than others.
Large Scale Web Scraping is an essential tool for businesses as it allows them to analyze their audience's behavior on different websites and compare which performs better. Large-scale scraping is a task that requires a lot of time, knowledge, and experience. It is not easy to do, and there are many challenges that you need to overcome in order to succeed. Performance is one of the significant challenges in large-scale web scraping.
The main reason for this is the size of web pages and the number of links resulting from the increased use of AJAX technology. This makes it difficult to scrape data from many web pages accurately and quickly. Web structure is the most crucial challenge in scraping. The structure of a web page is complex, and it is hard to extract information from it automatically. This problem can be solved using a web crawler explicitly developed for this task. Anti-Scraping Technique
Another major challenge that comes when you want to scrape the website at a large scale is anti-scraping. It is a method of blocking the scraping script from accessing the site.
If a site's server detects that it has been accessed from an external source, it will respond by blocking access to that external source and preventing scraping scripts from accessing it. Large-scale web scraping requires a lot of data and is challenging to manage. It is not a one-time process but a continuous one requiring regular updates. Here are some of the best practices for large-scale web scraping:
1. Create Crawling Path
The first thing to scrape extensive data is to create a crawling path. Crawling is systematically exploring a website and its content to gather information.
Data Warehouse
The data warehouse is a storehouse of enterprise data that is analyzed, consolidated, and analyzed to provide the business with valuable information. Proxy Service
Proxy service is a great way to scrape large-scale data. It can be used for scraping images, blog posts, and other types of data from the Internet. Detecting Bots & Blocking
Bots are a real problem for scraping. They are used to extract data from websites and make it available for human consumption. They do this by using software designed to mimic a human user so that when the bot does something on a website, it looks like a real human user was doing it.
PoolParty Thesaurus Management - ISKO UK, London 2010Andreas Blumauer
Building and maintaining thesauri are complex and laborious tasks. PoolParty is a Thesaurus Management Tool (TMT) for the Semantic Web, which aims to support the creation and maintenance of thesauri by utilizing Linked Open Data (LOD), text-analysis and easy-to-use GUIs, so thesauri can be managed and utilized by domain experts without needing knowledge about the semantic web. Some aspects of thesaurus management, like the editing of labels, can be done via a wiki-style interface, allowing for lowest possible access barriers to contribution.
How to Optimize Your Drupal Site with Structured ContentAcquia
<p>With the advent of real-time marketing technologies and design methodologies like atomic design, web pages are no longer just “pages” – they are collections of modular, dynamic data that can be rearranged according to the context of the user.</p>
<p>To provide optimized user experiences, marketers and publishers need to enrich websites with additional structure (taxonomy and metadata). By adding metadata, content becomes machine-understandable, which leads to better interoperability, SEO, and accessibility.</p>
<p>Structured content is also one of the foundations of real-time personalization; By tagging and describing content with metadata, personalization engines like Acquia Lift can provide more relevant content to individual users.</p>
<p>In this webinar, we will discuss:</p>
<ul>
<li>How to further enrich your Drupal website with structure</li>
<li>Taxonomy best practices for dynamic content and how to configure auto-tagging in your Drupal site</li>
<li>How to leverage Microdata and the schema.org vocabulary to improve SEO through rich results</li>
<li>How to improve the social shareability of your content through the use of Twitter Cards and OpenGraph tags</li>
<li>Why Drupal 8 is the best CMS platform for managing structured content</li>
</ul>
Nowadays, the explosive growth of the World Wide Web generates tremendous amount of web data and consequently web data mining has become an important technique for discovering useful information and knowledge. Web mining is a vivid research area closely related to Information Extraction IE . Automatic content extraction from web pages is a challenging yet significant problem in the fields of information retrieval and data mining. Web Content mining refers to the discovery of useful information from web content such as text, images videos etc. Web content extraction is the process of organizing data instances into groups whose members are similar in some way. Content Extraction helps the user to easily select the topic of interest. Web Content Ming technology is useful in management information system. Web content mining extracts or mines useful information or knowledge from web page contents. This paper aims to study on web content extraction techniques. Aye Pwint Phyu | Khaing Khaing Wai "Study on Web Content Extraction Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27931.pdfPaper URL: https://www.ijtsrd.com/computer-science/data-miining/27931/study-on-web-content-extraction-techniques/aye-pwint-phyu
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What Can schema.Org Offer The Web Manager?
1. What does schema.org
offer the web manager?
Phil Barker
JISC CETIS
Heriot-Watt University
phil.barker@hw.ac.uk
@philbarker
2. Outline
• What is schema.org
• How does schema.org work
• What does schema.org offer
• Questions and answers
(but not necessarily in that order)
3. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
4. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
5. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
6. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
7. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
8. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
9. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
11. Will schema.org increase page rank?
Probably not, but there is more to making information
easier to find than that
http://blogs.cetis.ac.uk/philb/2012/05/25/will-using-schemaorg-metadata-improve-my-google-rank/
12. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
19. 1. <div>
2. <h1>Phil Barker </h1>
3. <img src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
20. 1. <div>
2. <h1>Phil Barker </h1>
3. <img src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
21. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1>Phil Barker </h1>
3. <img src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
22. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1>Phil Barker </h1>
3. <img src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
23. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1 itemprop=“name”>Phil Barker</h1>
3. <img src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
24. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1 itemprop=“name”>Phil Barker</h1>
3. <img itemprop="image" src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
25. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1 itemprop=“name”>Phil Barker</h1>
3. <img itemprop="image" src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
9. Edinburgh, EH14 4AS<br />
10. <strong>Tel.</strong> 0131 451 3278<br />
11. <strong>Fax.</strong> 0131 451 3327<br />
12. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
13. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
14. </p>
15. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
26. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1 itemprop=“name”>Phil Barker</h1>
3. <img itemprop="image" src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <span itemprop=“affiliation” itemscope itemtype=“http://schema.org/CollegeOrUniversity “>
9. <a href="http://www.hw.ac.uk/">Heriot-Watt University</a>,<br />
10. Edinburgh, EH14 4AS<br/>
11. </span>
12. <strong>Tel.</strong> 0131 451 3278<br />
13. <strong>Fax.</strong> 0131 451 3327<br />
14. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
15. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
16. </p>
17. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
27. 1. <div itemscope itemtype=“http://schema.org/Person”>
2. <h1 itemprop=“name”>Phil Barker</h1>
3. <img itemprop="image" src="philb.jpg" alt="mug shot of me”/>
4. <p> <strong>Learning Technology Adviser</strong><br />
5. <a href="http://www.icbl.hw.ac.uk/”>Institute for Computer Based
Learning</a>,<br />
6. <a href="http://www.macs.hw.ac.uk/“ >School of Mathematical and
Computer Sciences</a><br />
7. Mountbatten Building<br />
8. <span itemprop=“affiliation” itemscope itemtype=“http://schema.org/CollegeOrUniversity“>
9. <a itemprop=“url” href="http://www.hw.ac.uk/">
10. <span itemprop=“name”>Heriot-Watt University</span></a>,<br />
11. Edinburgh, EH14 4AS<br/>
12. </span>
13. <strong>Tel.</strong> 0131 451 3278<br />
14. <strong>Fax.</strong> 0131 451 3327<br />
15. <strong>Email</strong> <a
href="mailto:Phil.Barker@hw.ac.uk">Phil.Barker@hw.ac.uk</a><br />
16. <strong>Homepage</strong> <a
href="http://www.icbl.hw.ac.uk/~philb/">http://www.iclb.hw.ac.uk/~philb</a>
17. </p>
18. <p>My main interests are supporting the use of learning technology at
Universities, particularly through supporting the discovery and selection
of appropriate resources. My main areas of work are ...</p>
…
28. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
29. … search engines understand the information …
Rich Snippets Testing Tool
http://www.google.com/webmasters/tools/richsnippets
Item
Type: http://schema.org/person
image = http://www.icbl.hw.ac.uk/~philb/philb.jpg
name = Phil Barker
jobtitle = Learning Technology Adviser
affiliation = Item( 1 )
Item 1
Type: http://schema.org/collegeoruniversity
url
text = Heriot-Watt University
href = http://www.hw.ac.uk/
name = Heriot-Watt University
30. Principles of physics
Published: 1994
Author: Hans C. Ohanian
ISBN:0-393-96575-9
Subjects covered: physics,
Academic level: First year undergraduate
Resource type: Text book
Format: Hardback, no dustwrapper
Price: £40
36. Item
Type: http://schema.org/book
name = Principles of physics
author = Item( 1 )
isbn = 0-393-96575-9
about = Item( 2 )
genre = Text book
bookformat = http://schema.org/Hardback
offers = Item( 3 )
Item 1
Type: http://schema.org/person
url
text = Hans C. Ohanian
href = http://www.librarything.com/author/ohanianhansc
name = Hans C. Ohanian
Item 2 Item 3
Type: http://schema.org/intangible Type: http://schema.org/offer
url = http://example.com/physics price = £40
name = physics pricecurrency = GBP
37. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
38. A shared markup vocabulary
(some) schema.org types
• Thing
• Creative work
• Article, Book, Review, WebPage etc.
• Event
• EducationEvent, LiteraryEvent, SportsEvent
• Intangible
• JobPosting, Rating, PostalAddress
• Organization
• EducationOrganization, CollegeOrUniversity, LiquorStore
• Person
• Place
• Product
• DataType
39. A shared markup vocabulary
(some) schema.org item properties
CollegeOrUniversity
properties from Thing:
description, image, name, url
properties from Organization
address, email, employee, event, member ....
properties from EducationalOrganization
alumni
40. A shared markup vocabulary
(some) schema.org item properties
CollegeOrUniversity
properties from Thing:
description, image, name, url
properties from Organization
address, email, employee, event, member ....
properties from EducationalOrganization
alumni
What’s missing?
41. A shared markup vocabulary
(some) schema.org item properties
CollegeOrUniversity
properties from Thing:
description, image, name, url
properties from Organization
address, email, employee, event, member ....
properties from EducationalOrganization
alumni
What’s missing?
42. A shared markup vocabulary
(some) schema.org item properties
Creative Work
properties from Thing:
description, image, name, url
properties from Creative Work
about, author, copyrightHolder, dateCreated,
publisher, sourceOrganization....
More specific Types: Article, Book, Map, MediaObject,
AudioObject, VideoObject, Movie, MusicRecording,
WebPage....
43. A shared markup vocabulary
(some) schema.org item properties
Creative Work
properties from Thing:
description, image, name, url
properties from Creative Work
about, author, copyrightHolder, dateCreated,
publisher, sourceOrganization....
More specific Types: Article, Book, Map, MediaObject,
AudioObject, VideoObject, Movie, MusicRecording,
WebPage ....
What’s missing?
44. A shared markup vocabulary
Learning resource metadata initiative
• Funded by Gates foundation
• Lead by Creative Commons + Association of
Education Publishers
• Added properties to CreativeWork for description of
Learning Resources
• Educational alignment (to some point in a curriculum)
• Learning resource type
• Time Required
• Educational use
• ...
http://www.lrmi.net/the-specification
45. What is it about schema.org that
makes it so different, so appealing?
47. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
48. The difference is trust
<meta name=“keywords”...>
<meta name=“DC.title” content=“...”>
<link rel=“DCTERMS.subject” href=“....”>
Google doesn’t trust invisible metadata
49. Rich snippets not appearing
In general, Google won't display any content in rich
snippets that is not visible to human user. It can be
tempting to add all the content relevant for a rich
snippet in one place on the page, mark it up, and then
hide the entire block of text using techniques like
display:none, value-title, css etc. Don't do it! Google
will ignore content that isn't visible to human users, so
you should mark up the text that visitors will see on
your web pages.
http://support.google.com/webmasters/bin/answer.py?hl=en&answer=1093493#hidden
50. schema.org cf. RDFa,
Microformats, Microdata
• All ways of marking up web page content to
show semantics
• schema.org is microdata
• A schema.org → RDFa mapping exists
• schema:author owl:sameAs {foaf:maker, dc:creator}
• schema.org aims to be
• Shared vocabulary
• Supported by search engines
• Easier for webmasters
http://blog.schema.org/2012/06/semtech-rdfa-microdata-and-more.html
51. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
52. easier for webmasters
• All info in one place:
http://schema.org
• Forgiving of simplification, e.g.
<span itemprop=“author”>Phil Barker</span>
• No philosophy, e.g. “httpRange-14”
<a itemprop=url href=“http://people.pjjk.net/phil”>
53. Useful support links
• http://schema.org/
• Official schema blog: http://blog.schema.org/
• Development discussion: Public-vocabs@w3.org
http://lists.w3.org/Archives/Public/public-vocabs/
• Google testing tool:
http://www.google.com/webmasters/tools/richsnippets
• Google schema.org faq:
http://support.google.com/webmasters/bin/answer.py?
hl=en&answer=1211158
54. Schema.org is a joint effort, in the spirit of sitemaps.org,
to improve the web by creating a structured data markup
schema supported by major search engines. On-page
markup helps search engines understand the information
on web pages and provide richer search results. A
shared markup vocabulary makes easier for webmasters
to decide on a markup schema and get the maximum
benefit for their efforts. Search engines want to make it
easier for people to find relevant information on the web.
Markup can also enable new tools and applications that
make use of the structure.
Schema.org FAQ http://schema.org/docs/faq.html
55. Support by Google
• Patchy at the moment
• Will only happen when significant number of
pages are marked up
• Google CSE API returns schema markup
• e.g. Veterans Job Bank
57. Google Knowledge Graph??
Things not strings
Taj Mahal – place or
Taj Mahal – Musician?
http://googleblog.blogspot.co.uk/2012/05/introducing-knowledge-graph-things-not.html
http://www.google.com/insidesearch/features/search/knowledge.html
58. Licence and attribution
By Phil Barker <phil.barker@hw.ac.uk>, JISC
CETIS <http://jisc.cetis.ac.uk>
This work is licensed under the Creative Commons
Attribution 3.0 Unported licence.
To view a copy of this licence, visit
http://creativecommons.org/licenses/by/3.0/ or send a
letter to Creative Commons, 171 Second Street, Suite
300, San Francisco, California 94105, USA.