The world is ever changing. We are products of evolution in a world that is ever transforming. The advent of modern technology has introduced to us the beauty of efficiency and convenience. Everything that we do today is almost always accompanied with an equipment to not only make things easier but faster. The fast-paced lifestyle that we have entails for something within our reach, almost always in the tips of our fingers. It does not matter what generation you are in, what your sexual preference is and how we go about our day to day lives. This is made possible through having data and information on the world wide web.
We are all surrounded by data. We all want to know about something or someone the quickest way we can. It could just be about anything. It could be just know the weather today, the bag you can finally purchase online or understanding how taxation works in certain country. This has made us more equipped in making smarter consumer decisions and arming ourselves with information we need. Data had played a primary role in everyone’s lives and has been a driving force towards a building a better future. In a world where everything seems to be fast-paced, we would want to make use better of the time that we have.
One of our clients that uses link data specifically in healthcare is United Medical Education. Through our research they are able to understand the medical training environment on the Internet. This allows them to deliver their ACLS online courses better than ever before. Besides delivering ACLS online certification even more effectively they have also been able to deliver BLS certification and PALS certification more easily to students.
On this note, a tremendous amount of data is shared all over the web such as Amazon and Yahoo!, government bodies, newspaper such as The New York Times and other research instituted had contributed so much for everyone to get access to. Consequently, third parties had been using this information to put together new businesses, fasten scientific enhancement, accelerate democratic process or promote online commerce. To demonstrate this, say for example you are a shoe shop owner. Search engines like Yahoo! and Google make it easier for you to be reached by posting in ad listings for your business or simply have your shop show up when a user searches a keyword through these engines. This then creates a connection between retailers and consumers. Another good illustration would be Amazon. Home to numerous micro-businesses, the site is an affiliate to a lot of owners worldwide who would want to sell their goods and services. The number of visitors who go to the website attracts these business owners to advertise their goods through Amazon. Consequently, this provides a good number of transactions within the day. On a heavier note, the accessibility of data about your tax or any other political processes can also be searched through the Internet! The level of awareness that this encourages has made more people assess the political leaders they have chosen. How your taxes are spent or how it should be calculated could be seen on political websites.
Working with data doesn’t always have to be so difficult. This is where linking data kicks in. Linked data is dispensed across the Web. This is essential in a standard operating procedure for identifying the existence and meaning of relations between things portrayed in this data. This kind of process is given through the Resource Description Framework (RDF). RDF supplies a flexible method to ascribe description to things in the world like abstract concepts, people, or locations and how they are linked with any other things. The relationships of these things create a link between anything in the world. To be able to understand this concept more clearly, it is best to set a good uncomplicated example for this. For instance, a pair of shoes that is described in data from one API is for sale at a physical shoe shop that is ascribed in data from a second API. This shop is then situated in a city described by data from a third. What it actually does is that it allows us to do this. The information that is published on the Web is done in a manner that other people can explore and recycle.
Out from the example that is mentioned above, it just tells us that RDF connects things and not just pieces of documents. Based on the example above, it is clear enough that every API is a key to unlock another. In this case, it would be the shoe, the shop and the city. There is a connection between data fragments not just simply linking it. Apart from that, RDF links are typed. This enables the data publisher to condition openly the nature of the relationship. In the same example above, it would read something like my shoe for sale in this shoes store, that shoes store that is situated in my city. This makes it a lot simple. A Web in which data is both related and published utilizing RDF where data is considerably more discoverable and consequently more utilizable and practical.
Understanding the importance of RDF leads to the essence of linked data. This helps links to be put between items in varying data sources and deliberately connect this information into a singular global data space. A number of data providers and application developers have took on linked data. An interconnection of data space is called the Web of Data. The diversity of the numerous websites such as music, locations, books, companies, films and people and other publications has spread over the web of data. In contrast to the classic document web, the increasing volume information on the web has been made accessible by linked data. Also known as semantic web, the web of data presents a radical occasion for getting ideas and value from data. The seamless relations between data sets are transformational in terms of how data is reached to people who need it. It is through these learning sources that everything could be collaborated and could create a pathway to s sharing of information.
To understand better linked open services, it is best to discuss linked open data first. Simply put, linked open data is data that is connected in an open content. To be able to distinguish linked open data and linked data, Tim Berners-Lee provides a crystal clear differentiation on these terms. According to him, both linked data and linked open data are identified with its four mechanisms and are set apart by the fifth component which is open content which is the main characteristic of linked open data. Examples of these large linked open data sets are DBpedia and Freebase.
True to its term and form, the phrase “linked open data” has been utilized since February 2007. This was at the time that “Linking Open Data” mailing list was done. Initially, this mailing list was initiated by the SIMILE Project at the Massachusetts Institute of Technology (MIT). From then on, the linking open data community project had been spearheaded. The objective of the W3C Semantic Web Education and Outreach group’s Linking Open Data community project is to expand the Web with data commons. This can be done through publishing different open data sets as RDF on the Web and through putting in RDF links between data items from varying data sources. These data sets are composed of over two billion RDF triples which were interrelated through over two million RDF links back in October 2007. Four years after in 2011, this had extended to 31 billion RDF triples interlinked by around 504 million RDF links. Published in 2014, a detailed statistical breakdown was done.
Meanwhile, a lot of European Union projects including linked data. This involves the linked open data around the clock (LATC) project, the DaPaaS (Data-and-Platform-as-a-Service) project, the Linked Open Data 2 (LOD2) project and the DaPaaS (Data-and-Platform-as-a-Service) project. Data linking is one of the primary goals of the EU Open Data Portal. This makes it available to a number of data sets for anyone to recycle and link. Speaking of data sets, there are numerous data sets that that one could be acquainted with. The most popular database so far is DBpedia which contains extracted data from Wikipedia. It contains an estimated 3.4 million concepts described via 1 billion triples. This is already inclusive of 11 different languages. Speaking of Wikipedia, Wikidata is a shared and created linked dataset that perform as an essential storage for the structured data of its Wikimedia sister projects. Apart from these datasets, FOAF is distinguished through describing relationships, persons and properties. Lastly, GeoNames gives descriptions RDF of more than 7,500,000 geographical features around the world.
This is exactly how linked open data works. Moving forward, linked open services is a fundamental evaluation to compose, describe and produce services on the semantic web. What is actually more favored in this kind of technology is that it emphasizes linked data like RDF, HTTP and SPARQL rather than inflicting rule languages like WSDL and SOAP. Having said that, linked open services are on a straightforward set of principles to be discovered, sustained and refined in an open, community-like way.
Coined by the director of the World Wide Web Consortium (W3C), Tim Berners-Lee, linked data is a computing term that is used in the publishing of structured data so that it can be connected and become more utilized through semantic queries. To fully understand linked data, it is best to know what the semantic web is. It is simply a web of data that is composed of dates and titles with some part numbers and chemical properties. Pretty much, it is a mixture of all kinds of data that you can think of. The collection of semantic web technologies such as RDF, OWL, SKOS, SPARQL, HTTP and URIs just to name a few creates an environment where application can provide an inquiry about data and draw inferences from. To make it easier to get access on this, it is crucial to have a large amount of data on the Web available in a format that is manageable and reachable with the utilization of semantic web tools. The data collected should be interlinked and interrelated with each other to create a network of data. This is where linked data comes in. To be able to achieve linked data, technologies are obtainable for a popular format which is RDF. In turn, this would provide either a conversion or on-the-fly access to on hand databases (relational, XML, HTML, etc). Query standpoints are done to be able to get through that data without any hassle.
On this note, this is where the world wide web consortium (W3C) locks itself in the process. It provides assortment technologies like RDF, GRDDL, POWDER, RDF, the upcoming R2RML, RIF, and SPARQL to be able to obtain data. This makes it accessible for one to get data from varying sources to be linked and queried.
This is how important the linked data is. It is what makes the semantic web necessary in the process. It is a large scale integration to understand better data on the Web. Most of the applications are listed in a collection of semantic web case studies and use cases that are importantly based on the availability of and incorporation of linked data at different level of difficulty.
An example of this is the common case of a large linked dataset is DBPedia which is not only includes Wikipedia data but also integrates links to other data sets on the Web like Geonames. Applications may take advantage of the extra and possibly more precise knowledge from other data sets when developing it. Once the integration of facts from numerous datasets is done, it then provides a much improved user experience. It eliminates any inconvenience that is caused by not being able to have data related to each other. It has to has a relationship with each other. Thus, it is essential to have a network of data.
This is how linked data works. With this said, it is best to know what it is all about so as to gaining more understanding on building links later on your websites and applications.