• Blog
  • Informational

Connectivity, Open Data and A Bag of Chips

October 14, 2016 8 mins. read Teodora Petkova

Knowledge discovery journey

Often considered too technical and hard to implement, Linked Open Data is actually not something outside business and free exchange as usual. It is connectivity but on a data level.

Global connectivity transformed the way we live and work with one single, yet profound, step – it facilitated information sharing, exchange and retrieval. With the advent of the World Wide Web, myriads of interlinked content revolutionized our knowledge discovery journey. Hyperlink by hyperlink, today we travel across and explore “a large universe of documents“, searching for facts, comparing views, finding insights in ways that 27 years ago were not imaginable.

But what about the universe of data unfolding with the speed of light before our eyes? Would data on the Web ever be freely navigated, used and shared the way documents are?

Is it possible that data publishers and consumers transform the Web into a medium for data exchange?

It is. And in a powerful way. Through Open Data.

Opening up for Change: Open Data

Open data makes the world an amazing place, buzzing with opportunities for innovation and growth. Freely available for anyone to access, use and re-use, these data bring immense transformation to the table: from better-informed people, through more transparent governments to safer and highly-efficient living environments. With the increasing number of big companies, governments and nonprofit organizations publishing datasets openly, the volumes of data available online are soaring.

There are thousands of open datasets available: DBPedia, Geonames, Government Open Data Sources (Data.gov, European Data Portal), Open Data from global organizations (The WHO, UNESCO), corporate datasets (Open Data Institute, OpenOil), etc.

The billions of facts they contain can be used as a source for countless creative business opportunities, based on the relationships these facts exist in.

 

Opening up for exchange open data

The Web is steadily transforming into a data exchange information space.

The growth in online sharing of open data by governments across the world [OKFN-INDEX] [ODB], the increasing online publication of research data encouraged by organizations like the Research Data Alliance [RDA], the harvesting, analysis and online publishing of social media data, crowd-sourcing of information, the increasing presence on the Web of important cultural heritage collections such as at the Bibliothèque nationale de France [BNF] and the sustained growth in the Linked Open Data Cloud [LODC], provide some examples of this growth in the use of Web for publishing data.

Cit.Data on the Web Best Practices

The openness of data impacts every aspect of our lives, fostering the creation of brand new products and services. Open data also enable innovative tools and applications, to mention just a few:

  • Notifyre – an application for real-time fire alerts;
  • NextBus – an application helping people with information about their bus;
  • Archimedes – a tool providing quantitative models for doctors and patients to search and analyze effective interventions;
  • Shoothill – a tool that shows rivers at risk of flooding.

More and more industries are using Open Data to open up to the potential of public freely shared information. The use of Open Data in Sports Journalism is an example of how Semantic Technology has turned into a magnifying glass for seeing deep connections.

Now that Open Data activities and initiatives have gone mainstream (ref. Open Data Barometer), they slowly but steadily disrupt the data management and sharing status quo by bringing more connectivity, transparency, and accountability and thus transforming markets, economies, democracies. And just when it seems that things can’t get more disruptive, Linked Open Data comes into play.

 

Linked Data as Infrastructure for Open Data, Who Could Ask for Anything More?

Linked Data as an Infrastructure for Open Data, Who Could Ask for Anything More?

Open Data is powerful but it can become even more powerful if the lack of connectivity and consistent approach to managing these data didn’t bury their enormous potential. As Steven Adler, currently a co-chair of the W3C Data on the Web Best Practices Working Group, puts it:

Open Data is spreading across the globe and transforming the way data is collected, published, and used. But all of this is happening without well-documented standards, leading to data published with inconsistent metadata, lacking official documentation of approval processes, corroboration of sources, and with conflicting terms of use.

Cit. Open Data Standards

Briefly, what hinders data interconnectedness and their free exchange at Web scale are:

  • Lack of “open” culture for sharing;
  • Proprietary formats;
  • Machine-unreadable formats;
  • Walled-off data.

What can transform the exchange between Open Data publishers and consumers are Open Data standards and in the best scenario –  data being published on the Web using Linked Open Data standards.

Applying Linked Data principles to Open Data can help solve complex problems, analyze patterns, make data driven in a cost-efficient way.

Linked Data, as the term suggests, is about creating links between data. W3C open standards like RDF (a generic data model to describe things) and URI (a generic way to identify things) are the building blocks of Linked Data principles and make connections between data explicit, with meaning that computers can process.

Linked Data technologies are unique for they allow us (via our software agents) to travel across diverse data sets, to find, share and integrate information easily and effectively. Click To Tweet

When the Linked Data paradigm is put in a Web context and meets the Open Data paradigm, the opportunities for data use, reuse and exchange become endless.

 

Linked Open Data

Openness Times Interconnectedness: Linked Open Data

Linked Open Data (LOD) is about Linked Data principles applied to publishing freely available data on the Web. The LOD cloud diagram shows the datasets that have been published in Linked Data format since 2007 when enterprises and the government started adopting the Linked Data principles.

The publicly available data collections that adhere to the Linked Data principles are nearly 600. Among the most richly interconnected are DBpedia (the data version of Wikipedia), GeoNames (a dataset with more than 7,500,000 geographical features worldwide) and LOV (a set of vocabularies describing Linked Data).

Not All Data Are Created Open, Neither Are All Linked

Although the more data are put on the Web, the richer an information space it would be, not all data have to be open. There are commercial, private and sensitive data that should be protected and exchanged in environments with limited access. Also, as good as the value proposition of Linked Open Data is, not all the Open Data across the Web will be linked. But when (and if) it is, it will be the 5-star data that will transform the Web and the way we navigate data.

The Linked Open Data stars system reads

Starry Open Data

The road to useful open data is paved with stars, each of them representing the level of openness and usability of data.

In 2010, Sir Tim Berners-Lee developed a 5-star rating system for publishing data on the Web. The more open and standards compliant data are, the more stars they get. The inventor of the World Wide Web created this rating to encourage data providers to take the first step towards opening their data and, ultimately, publishing their data according to the Linked Data principles.

The Linked Open Data stars system reads:

★ Available on the web (in whatever format) but with an open license, to be Open Data.

★★ Available as machine-readable structured data (e.g., Excel instead of an image of a table).

★★★ Same as ★★ plus non-proprietary formats (e.g., CSV instead of Excel).

★★★★ All of the above plus using open standards from W3C (RDF and SPARQL) to identify things so that people can point at your stuff.

★★★★★ All of the above plus links to other people’s data to provide context.

The Web Is About Linking Data

Cit. Jim Handler, Wither OWL

The social, economic and cultural implications of freely available data are immense. They grow even bigger when Open Data becomes 5-star Open Data (Linked Open Data). Businesses are increasingly becoming aware of this effective combination and have started to represent their data in a uniform, standard and compliant way.

In this way, enterprises not only enrich and interlink their own datasets of different topical domains but also contribute to an ever-growing (in quality and quantity) Open Data ecosystem. Tasked with the developing a working business integration strategy in a hyperconnected world, enterprises would benefit immensely from getting their data right, that is making the digital representation of their business records speak a universal language.

Linked Open Data standards are such a universal language.

Making information easy to integrate and bracing it with interoperability, Open Data published according to the Linked Data principles are a powerful tool for revolutionizing the way business is done. Click To Tweet

Often considered too technical and hard to implement, LOD is actually not something outside business and free exchange as usual. It is connectivity but on a data level.

Connectivity that allows for effectively manageable and managed data to be shared seamlessly and used and reused freely.

Adding value through connections – as simple as that. Just little pieces loosely joined. As simple as a bag of chips.

 

          New call-to-action

Article's content

Content Writer at Ontotext

Teodora is a philologist fascinated by the metamorphoses of text on the Web. Curious about our networked lives, she explores how the Semantic Web vision unfolds, transforming the possibilities of the written word.

GraphDB in Action: Navigating Knowledge About Living Spaces, Cyber-physical Environments and Skies 

Read about three inspiring GraphDB-powered use cases of connecting data in a meaningful way to enable smart buildings, interoperable design engineering and ontology-based air-traffic control

Your Knowledge Graph Journey In Three Simple Steps

A bird’s eye view on where to start in building a knowledge graph solution to help your business excel in a data-driven market

GraphDB in Action: Putting the Most Reliable RDF Database to Work for Better Human-machine Interaction

Read about the world of academia research projects that use GraphDB to meet the challenges of heterogeneous data across various domains

Knowledge Graphs for Retail – Connecting People, Products and Platforms

Read about how knowledge graphs can serve the retail industry’s growing need to connect, manage and utilize data efficiently, aligning it in a collaborative data ecosystem

Data Wants To Be Truly Sovereign: Designing Data Spaces with Linked Data Principles In Mind

Read about what data spaces are and how semantic technologies and Linked Data can make them a stronger and safer mechanism for commercial data exchange

GraphDB in Action: Powering State-of-the-Art Research

Read about how academia research projects use GraphDB to power innovative solutions to challenges in the fields of Accounting, Healthcare and Cultural Heritage

KGF22: Knowledge Graphs and The Not So Quiet Cognitive Revolution

Read about Ontotext’s KGF22 days dedicated to stories about knowledge graphs in the domains of Industry, Healthcare & Life Sciences and Financial Services

KGF22: Wittgenstein, Developers Empathy and Other Semantic Data Considerations

Read about our event report from Ontotext’s Knowledge Graph Forum 2022, highlighting expert insight on building knowledge graphs and designing enterprise-grade solutions with semantic technologies.

A Little SEMANTiCS Goes A Long Way

Take a sneak peek at some of the keynote speeches and tutorials throughout SEMANTiCS 2022

It Takes A Village To Raise An Enterprise Knowledge Graph

Read about the design processes behind crafting knowledge-graph enabled solutions and explore some of the stories of our partners.

Smart Buildings Are Built of Smart Data: Knowledge Graphs for Building Automation Systems

Read about how knowledge graphs offer a sustainable solution for harnessing and making sense of heterogeneous data in the building automation industry.

Metadata Moves: Knowledge Graph Technology for Logistics

Read about how the world of metadata humming behind the logistics and other supply chain processes can benefit from using knowledge graph technology.

Electrical Standards, Smart Grids and Your Air Conditioner

Read about how applying Linked Data principles and semantic technology to electricity data can make for a more efficient, reliable and sustainable electricity market.

The Semantic Web: 20 Years And a Handful of Enterprise Knowledge Graphs Later

Read about how the Semantic Web vision reincarnated in thousands of Linked Open Data datasets and millions of Schema.org tagged webpages. And how it enables knowledge graphs to smarten up enterprises data.

Metadata is Like Packaging: Seeing Beyond the Library Card Metaphor

Read about what metadata is, why it is important and how it can enhance the ways information flows across the enterprise.

From Fragmented Data to a Comprehensive Knowledge Graph: The Case for Building an R&D Repository

Read about how enterprise knowledge graphs can unlock meaning and thus create a smart future-proof living repository of scientific data and its relationships.

Texts Without Pages: Advancing Text Analytics with Content Enrichment

Read about how text analytics can be brought forward with content enrichment processes for better text authoring, delivery and navigation.

A Shield Built of Connected Data: Knowledge Graphs Meet Cybersecurity

Read about how a knowledge graph can help organizations stay vigilant of the increasing number of cyber threats, keeping malicious attacks at bay with the help of semantics.

Digital Twins: If It Sounds Like Cyberpunk, It’s Because It Is

Read about what digital twins are, what makes them attractive to companies and how digital twins relate to semantic technology and enable organizations to design, simulate and validate various scenarios virtually.

Eating the Knowledge Soup, Literally

Read about the fluid essence of knowledge and the capability of knowledge graphs to power an information-rich platform of diverse facts about anything, a broccoli soup included.

If Curiosity Cabinets Were Knowledge Graphs

Read about why and how knowledge graph technology can help build networks of interwoven digital objects in the world of cultural heritage.

On the Hunt for Patterns: from Hippocrates to Supercomputers

Read about the ExaMode project that will help medical professional use the power of supercomputers and knowledge graphs for more efficient patient care through data-driven diagnoses.

Crafting a Knowledge Graph: The Semantic Data Modeling Way

Read about how to build a knowledge graph the semantic data modeling way in 10 steps, provided by our knowledge graph technology experts.

A Graphful of Investment Opportunities

Read about the story of an algorithm that mines data to narrow down opportunities for investing.

Okay, You Got a Knowledge Graph Built with Semantic Technology… And Now What?

Read about how knowledge management can be made smarter using a knowledge graph built with semantic technology.

If Johnny Mnemonic Smuggled Linked Data

Read about how semantic technology and Linked Data can help enterprises benefit from smart data management and retrieval practices.

Data, Databases and Deeds: A SPARQL Query to the Rescue

Read about why and how SPARQL queries make for a better search in diverse datasets across an organization in an integrated way.

Semantic Technology and the Way We See the World

Read about how semantic technology can help you set the wheels for many processes related to еfficient data management and governance.

Telling Stories with an RDF Database

Read about the opportunities for authoring and publishing workflows opened by an RDF triplestore.

The Power of URI or Why Odysseus Called Himself Nobody

Read about URI and its power to enable the sharing and reuse of machine-readable data with minimum integration costs.

From Cultivating Nature to Cultivating Data: Semantic Technology and Viticulture

Learn how the potential that Big Data streams bring to grape and wine production can be harnessed with the right kind of technology.

The Knowledge Graph and the Enterprise

Read about the knowledge graph and about how many enterprises are already embracing the idea of benefiting from it.

It Don’t Mean a Thing If It Ain’t Got Semantics

Learn how you can turn data pieces into actionable knowledge and data-driven decisions with an RDF database.

The Bounties of Semantic Data Integration for the Enterprise

Learn about the potential semantic data integration carries for piecing massive amounts of data together.

Here’s a Graph, Go Figure! Coupling Text Analytics with a Knowledge Graph

Learn why and how a Knowledge Graph boosts significantly Text Analytics processes and practices and makes text work for us in a more meaningful way.

Cognitive Computing: Let’s Play an Awareness Game

Read about the new breed of computing is emerging before our eyes – cognitive computing and join us in our Awareness Game.

Machine Learning and Our (Insatiable) Penchant for Making Things Smarter

Read about how machines can be of great help with many tasks where fast and error-free computation over big amounts of data are required.

Staying In the Vanguard of Digital Transformation with Open Data

Learn about Open Data and its potential to be part of smart solutions to data problems and innovative products and services.

Whose Meaning? Which Ontology?

Read about how ontologies open up opportunities for a new class of tools to power information consumption and knowledge management.

Shiny Happy Data: A Praise for RDF

Learn how to choose the right solution for working with your data the conceptual framework of “happy connected people”.

Enterprise Metadata Matters: From Having Data to Acting Upon Them

Learn more about the importance of being metadata-driven today in our latest SlideShare presentation.

Data Daiquiri: The Power of Mixing Data

Learn how companies can tap into the power of the data coming their way by integrating the huge data flows with their proprietary data.

Migrating to GraphDB: Your Why and How in 20 slides

Learn about the steps you need to migrate your data to GraphDB to use it as a smart brain on top of your legacy systems.

Got meaning? Or Why an RDF Graph Database Is Good for Making Sense of Your Data

Read about how you can create systems capable of discovering relationships and detecting patterns within all kinds of data.

Brains Armored with Smart Data

Read our thoughts rising from questions such as “Will Giant Brains Rule the World?” and “Can a mechanical brain replace you?”

One Step Closer to Intertwingularity: Semantic Metadata

Learn about how semantic metadata allows us to add granularity to an object, interlink it to other objects and make it easy to search.

Exceptional User Experiences with Meaningful Content NOW

Content enrichment and semantic web technologies are key to efficient content management. Learn why and see these technologies in action.

Semantic Information Extraction: From Data Bits to Knowledge Bytes

Learn about semantic information extraction and how it pulls out meaningful data from textual sources, ready to be leveraged for insights, decisions and actions.

Weaving Data Into Texts: The Value of Semantic Annotation

Read about how semantic annotation links certain words to context and references that can be processed by an algorithm.

Exploring Linked Open Data with FactForge

Learn about FactForge and how you can turn the opportunities that data flows on the web can pour into our business into a real experience.

What is GraphDB and how can it help you run a smart data-driven business?

Learn about GraphDB in a simple and easy to understand way and see what Ontotext’s semantic graph database has to do with pasta making.

Linked Data for Libraries: Our New Librarians

Learn how semantic technologies can bring audiences back to libraries and make library archives and collections visible and accessible.

Working with Data Just Got Easier: Converting Tabular Data into RDF Within GraphDB

Read about OntoRefine – a new tool that allows you to do many ETL (extract, transform and load) tasks over tabular data.

GraphDB: Answers for Kids of All Ages

Read about how GraphDB can help you clean up messes of data (just like your room) – whether you are a kid or not.

The Knowledge Discovery Quest

Learn how by joining the dots, semantic search enhances the way we look for clues and compare correlations on our knowledge discovery quest.

Connectivity, Open Data and A Bag of Chips

Learn how LOD’s connectivity allows data to be shared seamlessly, used and reused freely. As simple as a bag of chips.

Data Integration: Joining the Data Pieces of Your Business Puzzle

Learn how to use information interconnectedness to integrate, interpret and ultimately make sense of data.

Cooking Up the Semantic Web

Read about the Semantic Web and what it takes to reach its potential and evolve from a Web of Documents to a Web of Data.

Semantic Search: The Paradigm Shift from Results to Relationships

Read about semantic search and how it takes information retrieval to the next level and puts information at our fingertips.

A Web of People and Machines: W3C Semantic Web Standards

Learn how and why Semantic Web Standards are to serve the Web of Data for better collaboration between people through computers.

Thinking Outside the Table

Learn how to manage highly connected data, working with complex queries and having readily available relationships, without the need to express them explicitly.

Our Networked Lives, Publishing and Semantic Technologies

Read about how semantic technology helps publishing handle data in an interconnected way, attaching machine-processable and readable meaning to them.

Why Graph Databases Make a Better Home for Interconnected Data Than the Relational Databases?

Read about how you can turn data into a resource, easily accessed and effectively used across the organization with a graph database.

Text, Data and the Roman Roads: Semantic Enrichment

Read about semantic enrichment and the unique opportunity it offers for interconnecting objects to facilitate knowledge discovery.

4 Things NOW Lets You Do With Content

Go beyond conventional publishing with Ontotext’s News On the Web and get the feel of how you can discover and consume content with semantic technology.