Brief introduction to HTML5 Microdata and Schema.org for libraries, archives, and museums. See my article in the Code4Lib Journal http://journal.code4lib.org/articles/6400
A simple guide on how to use Microdata semantic annotations on your own HTML5 markup. An easy survey on what Microdata is and how can you use it to increase the visibility of your web pages.
Brief introduction to HTML5 Microdata and Schema.org for libraries, archives, and museums. See my article in the Code4Lib Journal http://journal.code4lib.org/articles/6400
A simple guide on how to use Microdata semantic annotations on your own HTML5 markup. An easy survey on what Microdata is and how can you use it to increase the visibility of your web pages.
They have left the building: The Web Route to Library UsersRichard Wallis
Keynote Presentation to the ACOC Seminar in Melbourne Australia 1st November 2013.
Reviewing how libraries need to look towards using Linked Data techniques and general vocabularies, such as Schema.org, to share their data with the wider web - helping the search engines to guide users back to library collections.
Using schema.org to improve SEO presented at DrupalCamp Asheville in August 2014.
http://drupalasheville.com/drupal-camp-asheville-2014/sessions/using-schemaorg-improve-seo
They have left the building: The Web Route to Library UsersRichard Wallis
Keynote Presentation to the ACOC Seminar in Melbourne Australia 1st November 2013.
Reviewing how libraries need to look towards using Linked Data techniques and general vocabularies, such as Schema.org, to share their data with the wider web - helping the search engines to guide users back to library collections.
Using schema.org to improve SEO presented at DrupalCamp Asheville in August 2014.
http://drupalasheville.com/drupal-camp-asheville-2014/sessions/using-schemaorg-improve-seo
Markedu founder, expert marketer Michael Leander presented his marketing keynote "9,5 tips to ROMI in front of the attendees at APPM's 17th National Marketing Congress in Lisbon, Portugal.
The Semana Nacional de Marketing 2015 (National Marketing Congress Portugal) was organized for the 16th time by APPM - Associação Portuguesa dos Profissionais de Marketing.
Big data la explosión de datos que está cambiando el marketing y los negocios...Juan Carlos Mejía Llano
Big data la explosión de datos que está cambiando el marketing y los negocios Juan Carlos Mejía Llano.
Presentación durante el tercer congreso internacional de Investigación de Mercados 2013
En el informe que publicamos en Slideshare examinamos la relación e interacción con los usuarios de 21 páginas web de marcas relacionadas con el deporte y la moda deportiva. A través del análisis de 8 tipos de funcionalidades, incluyendo todas las herramientas de gestión de la marca online, se ha obtenido un ranking de marcas en las que Nike, Adidas, Puma, Burton y Mammut se sitúan en los más alto de la experiencia y relación con el usuario.
Presentasjon holdt på konferansen NKUL 2011 om klasseromsledelse og IKT. Basert på kvalitative gruppeintervjuer med elever (7. trinn, 9. trinn og VG2), lærere og skoleledere.
Introduction to Apache Any23. Any23 is a library, a Web Service and a Command Line Tool written in Java, that extracts structured RDF data from a variety of Web documents and markup formats.
Any23 is an Apache Software Foundation top level project.
Industry Ontologies: Case Studies in Creating and Extending Schema.org for In...MakoLab SA
The presentation introduces listeners into the details of the most important global semantic vocabulary build jointly by Google, Yahoo, Microsoft and Yandex: schema.org. It then discusses the experiences related to the creation of “hosted” extensions for the automotive industries (existing: auto.schema.org) and for the financial industries (in making: fibo.schema.org). The two extensions, built by an international team of specialists managed by MakoLab with full respect to the community processes, have two different creation strategies which will be presented and discussed.
The use cases for both vocabularies will be demonstrated. They are related to both “external” business effects (better visibility of the websites using them on the web) and “internal” effects (new kind of analytics and search capacities).
The presentation will also invite to participate to two W3C Community Groups responsible for the open communication activities around the two extensions.
Big Data Analysis : Deciphering the haystack Srinath Perera
A primary outcome of Bigdata is to derive useful and actionable insights from large or challenges data collections. The goal is to run the transformations from data, to information, to knowledge, and finally to insights. This includes calculating simple analytics like Mean, Max, and Median, to derive overall understanding about data by building models, and finally to derive predictions from data. Some cases we can afford to wait to collect and processes them, while in other cases we need to know the outputs right away. MapReduce has been the defacto standard for data processing, and we will start our discussion from there. However, that is only one side of the problem. There are other technologies like Apache Spark and Apache Drill graining ground, and also realtime processing technologies like Stream Processing and Complex Event Processing. Finally there are lot of work on porting decision technologies like Machine learning into big data landscape. This talk discusses big data processing in general and look at each of those different technologies comparing and contrasting them.
Linked services: Connecting services to the Web of DataJohn Domingue
Keynote from the International Conference on e-Business Engineering, September 2013. The talk covers a short integration to Linked Data, our approach to building applications on top of the Web of Data (which we term Linked Services) and a number of applications in the areas of house hunting: crowdsourcing car parking, sharing human body processes. The talk also covers recent work on transforming SAP's Unified Service Description Language to a Linked Data format.
Slides from our tutorial on Linked Data generation in the energy domain, presented at the Sustainable Places 2014 conference on October 2nd in Nice, France
This presentation addresses the main issues of Linked Data and scalability. In particular, it provides gives details on approaches and technologies for clustering, distributing, sharing, and caching data. Furthermore, it addresses the means for publishing data trough could deployment and the relationship between Big Data and Linked Data, exploring how some of the solutions can be transferred in the context of Linked Data.
Drupal 7 will use RDFa markup in core, in this session I will:
-explain what the implications are of this and why this matters
-give a short introduction to the Semantic web, RDF, RDFa and SPARQL in human language
-give a short overview of the RDF modules that are available in contrib
-talk about some of the potential use cases of all these magical technologies
This is a talk from the Drupal track at Fosdem 2010.
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>
Low-Latency Analytics with NoSQL – Introduction to Storm and CassandraCaserta
Businesses are generating and ingesting an unprecedented volume of structured and unstructured data to be analyzed. Needed is a scalable Big Data infrastructure that processes and parses extremely high volume in real-time and calculates aggregations and statistics. Banking trade data where volumes can exceed billions of messages a day is a perfect example.
Firms are fast approaching 'the wall' in terms of scalability with relational databases, and must stop imposing relational structure on analytics data and map raw trade data to a data model in low latency, preserve the mapped data to disk, and handle ad-hoc data requests for data analytics.
Joe discusses and introduces NoSQL databases, describing how they are capable of scaling far beyond relational databases while maintaining performance , and shares a real-world case study that details the architecture and technologies needed to ingest high-volume data for real-time analytics.
For more information, visit www.casertaconcepts.com
An introduction deck for the Web of Data to my team, including basic semantic web, Linked Open Data, primer, and then DBpedia, Linked Data Integration Framework (LDIF), Common Crawl Database, Web Data Commons.
Presentation for the Knowledge Graph Conference 2021
Abstract: Show me your schemas, and I will show you a graph! Although graph databases have become very popular in the enterprise, deep expertise in graphs is still in short supply (see "Building an Enterprise Knowledge Graph @Uber: Lessons from Reality" from KGC 2019). Developers often think of graphs as a completely different kind of thing from the rest of their company's data, and will go to great lengths to force their data into a "graph" shape. The amount of manual effort involved in building and maintaining ETL pipelines can become a bottleneck and a maintenance burden. In fact, there is usually a rich domain data model of entities, relationships, and properties which is already implicit in the company's existing schemas, be they interface descriptions for microservices, relational schemas, or various other kinds of storage schemas. Taking advantage of these schemas, and mapping conforming data into the graph, ought to require relatively little extra work, but developers need appropriate tools. In this presentation, we will illustrate such mappings with real-world examples from Uber, as well as introducing formal techniques for schema and data migration. We will also look ahead to the emerging GQL standard as the foundation for a new generation of highly interoperable graph database tools.
Presentation for Data Day Texas, 6/13/2022
Abstract: If you have ever built an enterprise knowledge graph, you know that heterogeneity comes at a cost. The more complex the interfaces to the graph become – more domain data models, more data representation languages and data exchange formats, more programming languages in which applications and ETL code are written – the more time is spent on mappings, and the harder it becomes to keep these mappings in a consistent state. At the same time, support for heterogeneity is often what motivates us to build a graph in the first place. In a previous Data Day talk, A Graph is a Graph is a Graph, I talked about a generic approach for reconciling graph and non-graph data models. The approach was later formalized as Algebraic Property Graphs and implemented in a proprietary tool which I was ultimately not permitted to release as open source software. This time around, I would like to introduce you to a new, open-source project called Hydra which expands the scope of the problem from defining composable transformations for data and schemas, to also porting those transformations between concrete programming languages, encapsulating them in developer-friendly DSLs. Learn to love typed lambda calculi, and see how weird and wonderful things get when a transformation library starts transforming itself.
An Algebraic Data Model for Graphs and Hypergraphs (Category Theory meetup, N...Joshua Shinavier
A presentation for the Category Theory meetup at Uber in San Francisco, November 21, 2019. A combination of previous slide shows motivating and presenting the Algebraic Property Graphs data model.
In Search of the Universal Data Model (ISWC 2019 Minute Madness)Joshua Shinavier
A one-minute version of my talk from Connected Data London about graph data models versus mental representations. For the "Minute Madness" session at ISWC 2019.
A presentation on mashing up Twitter Annotations with the Semantic Web. June 24, 2010 at the Semantic Technology Conference, San Francisco (SemTech 2010).
Students, digital devices and success - Andreas Schleicher - 27 May 2024..pptxEduSkills OECD
Andreas Schleicher presents at the OECD webinar ‘Digital devices in schools: detrimental distraction or secret to success?’ on 27 May 2024. The presentation was based on findings from PISA 2022 results and the webinar helped launch the PISA in Focus ‘Managing screen time: How to protect and equip students against distraction’ https://www.oecd-ilibrary.org/education/managing-screen-time_7c225af4-en and the OECD Education Policy Perspective ‘Students, digital devices and success’ can be found here - https://oe.cd/il/5yV
Operation “Blue Star” is the only event in the history of Independent India where the state went into war with its own people. Even after about 40 years it is not clear if it was culmination of states anger over people of the region, a political game of power or start of dictatorial chapter in the democratic setup.
The people of Punjab felt alienated from main stream due to denial of their just demands during a long democratic struggle since independence. As it happen all over the word, it led to militant struggle with great loss of lives of military, police and civilian personnel. Killing of Indira Gandhi and massacre of innocent Sikhs in Delhi and other India cities was also associated with this movement.
This is a presentation by Dada Robert in a Your Skill Boost masterclass organised by the Excellence Foundation for South Sudan (EFSS) on Saturday, the 25th and Sunday, the 26th of May 2024.
He discussed the concept of quality improvement, emphasizing its applicability to various aspects of life, including personal, project, and program improvements. He defined quality as doing the right thing at the right time in the right way to achieve the best possible results and discussed the concept of the "gap" between what we know and what we do, and how this gap represents the areas we need to improve. He explained the scientific approach to quality improvement, which involves systematic performance analysis, testing and learning, and implementing change ideas. He also highlighted the importance of client focus and a team approach to quality improvement.
How to Create Map Views in the Odoo 17 ERPCeline George
The map views are useful for providing a geographical representation of data. They allow users to visualize and analyze the data in a more intuitive manner.
Welcome to TechSoup New Member Orientation and Q&A (May 2024).pdfTechSoup
In this webinar you will learn how your organization can access TechSoup's wide variety of product discount and donation programs. From hardware to software, we'll give you a tour of the tools available to help your nonprofit with productivity, collaboration, financial management, donor tracking, security, and more.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
Ethnobotany and Ethnopharmacology:
Ethnobotany in herbal drug evaluation,
Impact of Ethnobotany in traditional medicine,
New development in herbals,
Bio-prospecting tools for drug discovery,
Role of Ethnopharmacology in drug evaluation,
Reverse Pharmacology.
4. the three syntaxes
• several solutions for embedding semantic data in Web
pages
• three syntaxes known (by Google) as “rich snippets”
- microformats
- RDFa
- HTML microdata
• all three are supported by Google, while
- microdata is the “recommended” syntax
4
5. First came microformats
• microformats emerged around 2005
• some key principles
- start by solving simple, specific problems
- design for humans first, machines second
• wide deployment
- used on billions of Web pages
- usage share was at 94% vis-a-vis competing
formats (before microdata, anyway)
• formats exist for marking up Atom feeds, calendars,
addresses and contact info, geo-location, multimedia,
news, products, recipes, reviews, resumes, social
relationships, etc.
5
7. then came RDFa
• RDFa aims to bridge the gap between human-
oriented HTML and machine-oriented RDF
documents
• provides XHTML attributes to indicate machine-
understandable information
• uses the RDF data model, and Semantic Web
vocabularies directly
7
9. last but not least, microdata
• microdata syntax is based on nested groups of name-
value pairs
• HTML microdata specification includes
- an unambiguous parsing model
- an algorithm to convert microdata to RDF
• compatible with the Semantic Web via mappings
9
11. microdata properties
• annotate an item with text-valued properties using
the “itemprop” attribute
<div itemscope>
<p>My name is <span
itemprop="name">Daniel</span>.</p>
</div>
11
12. multiple values are OK
• as in RDF, you can have two properties, for the same
item (subject) with the same value (object)
<div itemscope>
<p>Flavors in my favorite ice cream:</p>
<ul>
<li itemprop="flavor">Lemon sorbet</li>
<li itemprop="flavor">Apricot sorbet</li>
</ul>
</div>
12
13. item types
• these correspond to classes in RDF
<section itemscope itemtype="http://example.org/
animals#cat">
<h1 itemprop="name">Hedral</h1>
<p itemprop="desc">Hedral is a male american domestic
shorthair, with a fluffy black fur with white paws
and belly.</p>
<img itemprop="img" src="hedral.jpeg" alt=""
title="Hedral, age 18 months">
</section>
13
14. global IDs
• items may be given global identifiers, which are URLs
• they may be, but do not need to be Semantic Web
URIs
<dl itemscope
itemtype="http://vocab.example.net/book"
itemid="urn:isbn:0-330-34032-8">
<dt>Title
<dd itemprop="title">The Reality Dysfunction
<dt>Author
<dd itemprop="author">Peter F. Hamilton
<dt>Publication date
<dd><time itemprop="pubdate" datetime="1996-01-26">26
January 1996</time>
</dl>
14
16. the schema.org vocabulary
• schema.org is one of a number of microdata
vocabularies
• it is a shared collection of microdata schemas for use
by webmasters
• includes a type hierarchy, like an RDFS schema
- starts with top-level Thing and DataType types
- properties are inherited by descendant types
16
17. Why should you use schema.org?
There are several reasons.
17
23. schema.rdfs.org
• maintains schema.org ↔ RDF mappings
- there are mappings for BIBO, DBpedia, Dublin
Core, FOAF, GoodRelations, SIOC, and WordNet
• also provides examples, tutorials, and data dumps
See: http://schema.rdfs.org/mappings.html
23
24. schema.org tools
• Google’s Rich Snippets Testing Tool
• schema.org libraries are available in Java,
JavaScript, Perl, PHP, Python, and Ruby
• there are schema.org modules for Drupal, Joomla!,
WordPress, and Virtuoso
• online tools include microdata extractors, generators
and validators
• sindice.com supports microdata
See: http://schema.rdfs.org/tools.html
24
25. schema.org extensions
• there are dozens of schema.org community proposals
- they extend existing schema.org vocabulary
• several have already been accepted into schema.org,
incl.
- Job Postings
- IPTC/rNews integration
- User Comments
• others: Comics, Learning Resources, TV and Radio,
Software Application, etc.
25
28. the Dataset vocabulary: types
• DataCatalog
- a collection of datasets
- e.g. the International Open Government Data catalog
• Dataset
- an individual, abstract data set
- e.g. a data set about seismic hazard zones near San
Francisco
• DataDownload
- a dataset in downloadable form
- e.g. an RDF/XML dump of the seismic hazard zones
data set
28
29. the Dataset vocabulary: properties
• catalog
- the catalog containing a dataset
• dataset
- a dataset contained in a catalog
• distribution
- a data download for a dataset
• keyword
- the topic of a dataset
• spatial
- the spatial extent of a data set (e.g. United States)
29
30. Dataset extension RDF
• the Dataset extension maps to a subset of the Data
Catalog Vocabulary (DCAT)
• many other types and properties are inherited from
schema.org
• collectively, they cover
- around 2/3 of DCAT, and
- around half of the Asset Description Metadata
Schema (ADMS)
30
33. Google extracts this data
Item
Type: http://schema.org/dataset
name = Seismic Hazard Zones
url = http://www.datasf.org/story.php?title=seismic-hazard-zones-
description = The dataset represents the Liquefaction and Landslide Zones [...]
spatial = Item( 1 )
publisher = Item( 2 )
Item 1
Type: http://schema.org/country
name = United States
Item 2
Type: http://schema.org/organization
name = Department of Technology
33
34. Resources
• HTML microdata
- http://www.w3.org/TR/microdata
• Schema.RDFS.org
- http://schema.rdfs.org
• W3C Web Schemas group (public-vocabs@w3c.org)
- http://lists.w3.org/Archives/Public/public-vocabs
• The Dataset proposal
- http://www.w3.org/wiki/WebSchemas/Datasets
• Rich Snippets Testing Tool
- http://google.com/webmasters/tools/richsnippets
34
35. Credits
• word clouds by
- http://wordle.net
• deployment statistics discovered using Sindice and
Sindice4j
- http://sindice.com
- http://sindice4j.googlecode.com
35