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There is a significant change underway in the way data and information is published, searched and consumed on the web. The focus is now not just on linking of pages but on linking of individual entities and facts described on pages. Such linkage of facts requires that information be structured or at least semi-structured so that the links can be formed at the level of entities (e.g. person with person, person with product, product with attributes, products with events etc). However, a large amount of data published on the web is unstructured. It had been thought that it would be impractical to expect users to spend much time and effort trying to structure any content before publishing. However, this has changed over the past couple of years as most major search engines have started making use of such structured information when made available. The content publishers, advertisers and competing businesses selling goods and services on the web (who in many cases hire S.E.O engineers) are always in a race to make their content or product more visible by getting a higher rank in organic results of search engines. They have seen the benefits of investing more effort in representation of content in formats favoured by search engines and started publishing structured content. Many tools have emerged to support users willing to structure their content which has made the process less and less tedious with high returns. There has also been explosion of social media applications that have amassed large volumes of structured data without the users realizing it. This has resulted in emergence of what is now called a web of Linked Data and has improved quality of search results drastically. Linked Data technologies create even bigger impact when applied for knowledge sharing and reuse in large complex organisations struggling to make use of information stored in structured and semi-structured format in geographical and organisational silos. Hyperlinks in company documents are in-existent and popularity of a document is often not the most important factor when looking for information. More and more of these organisations are investing in automatic processing of legacy data stored in variety of formats and extracting structured linked information out of it. In this talk, I will try to highlight why I think we should be incorporating and embracing linked data standards and technologies in our tools and applications and also use these credentials for marketing when appropriate.
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There is a significant change underway in the way data and information is published, searched and consumed on the web. The focus is now not just on linking of pages but on linking of individual entities and facts described on pages. Such linkage of facts requires that information be structured or at least semi-structured so that the links can be formed at the level of entities (e.g. person with person, person with product, product with attributes, products with events etc). However, a large amount of data published on the web is unstructured. It had been thought that it would be impractical to expect users to spend much time and effort trying to structure any content before publishing. However, this has changed over the past couple of years as most major search engines have started making use of such structured information when made available. The content publishers, advertisers and competing businesses selling goods and services on the web (who in many cases hire S.E.O engineers) are always in a race to make their content or product more visible by getting a higher rank in organic results of search engines. They have seen the benefits of investing more effort in representation of content in formats favoured by search engines and started publishing structured content. Many tools have emerged to support users willing to structure their content which has made the process less and less tedious with high returns. There has also been explosion of social media applications that have amassed large volumes of structured data without the users realizing it. This has resulted in emergence of what is now called a web of Linked Data and has improved quality of search results drastically. Linked Data technologies create even bigger impact when applied for knowledge sharing and reuse in large complex organisations struggling to make use of information stored in structured and semi-structured format in geographical and organisational silos. Hyperlinks in company documents are in-existent and popularity of a document is often not the most important factor when looking for information. More and more of these organisations are investing in automatic processing of legacy data stored in variety of formats and extracting structured linked information out of it. In this talk, I will try to highlight why I think we should be incorporating and embracing linked data standards and technologies in our tools and applications and also use these credentials for marketing when appropriate.
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Semantic Web
1.
Moving From Noise
to Signal Semantic Web
2.
3.
4.
5.
6.
7.
8.
The Possibilities
9.
10.
11.
Cartoon by
Geek and Poke
12.
It’s all about
the noise… Web 1.0: Get (hear & see) ‘Noise’ Web 2.0: Make Noise Web 3.0: Filter the Noise Web 4.0: Going deaf….or SmartNoise
13.
14.
15.
16.
Map+ add-on for
Firefox vertical search engine Spock
17.
More Annotations
Structured Web More Precise Top-Down
18.
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20.
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22.