Linked Data: How it is changing the way data is published and accessed on web
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The document discusses the concept of linked data and its importance in enhancing the visibility and ranking of web content in search engines. It differentiates between structured, unstructured, and semi-structured data and emphasizes the need for semantic markup to create meaningful relationships between entities. Additionally, it highlights the role of linked data in enterprise search, underlining the challenges businesses face in leveraging knowledge across different departments.
Linked Data: How it is changing the way data is published and accessed on web
- 1. Ravish Bhagdev The Invisible Web of Linked Data
- 2. WWW Web of Our Role Linked Data
- 3. World Wide Web HTTP, URL, HTML
- 4. WWW as we know A global repository of Web Page X interconnected documents Text Text Text Text Text Text Link Text Describing Page Y Documents linked by hyperlinks Text Text Text Text Text Text Text Text Text Text Text Text – Implicit meaning assigned to links with a few words or pictures – Anyone can link a new page to any other available page Web Page Y – Links can also be made to specific Text Text Text Text Text Text sections of a page (anchor tags) Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text Text
- 5. WWW as we know
- 6. Search Engines and power of links • Use links between web-pages to rank results • Each search performed results in generation of a new page with more hyperlinks • Click-through relevance information • Redundancy of information • Focus on the most useful and relevant page • Freshness • Links are the key
- 7. Web of Linked Data Linking more than just pages
- 8. Structured vs Unstructured Data Structured Simply defined as Data that can be parsed XML DB and processed by machines to automate operations like matching, CSV RDF classification, querying etc. Unstructured Data that cannot be parsed HTML Doc in this manner without loss of information or requirement of input from PDF PPT external agents
- 9. Semi-Structured Data Most however is semi- XML DB structured – HTML (HEAD, TITLE, BODY etc) CSV RDF – Email (Header vs Body) – DBs with free text fields – Forms with descriptive fields – CSVs, Spreadsheets HTML Doc – Some more structured than others – Not possible to express PDF PPT everything in structured form
- 10. Web: Giant Data Shredder Web Page DBs (HTML)
- 11. Creating Links at Level of Entities Requires Semantic Markup – Uniquely Identify Entities in a Name: <String> Document (URIs) John Smith – Make Relations Between Entities Explicit – Shared Vocabulary Person: <Person> (schema.org, FOAF, SKOS, Person3456 GoodRelations etc.) Residence: Age: <Country> <Integer> – Reuse existing vocabularies UK 24 instead of inventing new ones – Both with-in the same document and with other Entities in other Documents
- 12. Integrated Data Across Applications Where should I go on vacation? How do I get the best fare? what What is it like there? how Travel Travel where Services Interests (FB) who Places to go Where should I stay? People who (lonely planet) what have been there (foursquare) What do I need to know about it? Photos, blogs, news stories
- 13. How Search Engines Use Linked Data
- 14. How Search Engines Use Linked Data
- 15. Our Role Why I think we should engage in Linked Data Initivatives
- 16. We Build Web Apps » That publish content » We want the content to be » Visible to next generation apps » Ranked High by Search Engines » Presented clearly and unambiguously (think price comparision websites) » All the big players are doing it » Including most governments
- 17. The Visible Web Is Dominated by Marketing – The web is seen through the lense of Search Engines and Social Networks – Not every relevant page can appear on first page of search results – Paid, Targetted advertising – Affiliate Programs and Contracts – Popularity overrides quality of matches – What is popular is decided by sites that are already popular – Visible web is more and more biased
- 18. Emerging marketing tactics, circa 2010
- 19. Creating Linked Data (How?) » Implicitly » Integrating Linked Data Standards with Publishing tools (CMS!), apps, gadgets, Entity P • Entity A • Entity X social networks etc. • Entity B • Entity Q • Entity Y » Minimize the effort while maximizing • Entity R the return Entity C Entity Z » Every time you add a new friend on FB or follow someone on twitter, you create linked data
- 21. Linking of information creates Insights Enterprise Search & KM Linked Data is even more relevant in the context of enterprise search because Raw Data: symbols and chars these data don’t even have simple hyperlinks Informaton: Data in usable form Knowledge: Information Enriched Popularity of a document is not always with Semantics the most important factor Wisdom: Understanding, Hindsight, Experience Large companies struggle to make use of knowledge and information across departments and silos Timly linking of data across these silos can have a big impact
- 22. ? Questions? @RavBhagdev Theres more: Information Extraction, Social Search, Knowledge Capture etc.