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Solving Real Problems Using Linked Data

The document discusses the importance of linked data in solving identity and data access problems for enterprises and individuals, emphasizing the use of HTTP-based identifiers. It outlines solutions to identity issues and data integration challenges through the establishment of personal HTTP IDs and the application of middleware for aggregating heterogeneous data sources. By utilizing these strategies, users can navigate web applications without repetitive logins and access diverse data types effectively.

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Using RDF Linked Data       To Solve    Real Problems     © 2008 OpenLink Software, All rights reserved.
Situation AnalysisAgility is the timeless pursuit ofenterprises and individuals alike.In all cases, access, integration,  and dissemination of data is               pivotal.           © 2008 OpenLink Software, All rights reserved.
What is Linked Data? A term coined by Tim Berners-Lee that  describes HTTP-based Data Access by  Reference for the Web An unobtrusive tweak to the Web that  accentuates its core architecture   Use of HTTP based Identifiers for Naming    “Things”   Implicit association of Identifiers with their    metadata.                   © 2006 OpenLink Software, All rights reserved.
© 2008 OpenLink Software, All rights reserved.
Problems Identity   - People   - Places   - Ideas   - Other Things Data Access & Integration                © 2008 OpenLink Software, All rights reserved.
Problem - Identity Who Am I ? What are my credentials ? Why do I repeat the above, each time I  encounter a new:   Each Web Application / Service   Each Enterprise Application / Service.                 © 2008 OpenLink Software, All rights reserved.
Solution – Identity ProblemGet Yourself a Data Space that delivers: A personal HTTP based ID (a URI) Bind Your ID to an X.509 Certificate Bind Certificate to your HTTP User Agents  (e.g., Browser) Bind Certificate to your Profile (e.g., a  FOAF space).                  © 2008 OpenLink Software, All rights reserved.
Solution – Identity Problem Contd.   With the your HTTP ID in place you can then                achieve the following: Visit places on HTTP networks with no login and  credentials repetitions (Intranet or Web) Use ACL based policies to confine data access to  specific groups of people.                  © 2008 OpenLink Software, All rights reserved.
© 2008 OpenLink Software, All rights reserved.
Collective Intelligence      © 2008 OpenLink Software, All rights reserved.
Linked Data – Data Aggregation          © 2008 OpenLink Software, All rights reserved
Problem: Data Access & Integration Enterprise Silos generated by applications  bound to:   Disparate DBMS Engines & Data Models   Disparate Development Frameworks Data Silos on the Web such as:     Social Networking Services     Discussion Forums     Blogs     Wikis etc.                  © 2008 OpenLink Software, All rights reserved.
Solution – Data Access & Integration Use Middleware to generate Conceptual  Views over Heterogeneous Data Sources  using: RDBMS to RDF mapping technology e.g.,  RDF Views over RDBMS data sources RDFizers to convert unstructured and  semi-structured data to RDF.               © 2008 OpenLink Software, All rights reserved.
Conceptual Views of Disparate Data           © 2008 OpenLink Software, All rights reserved
© 2008 OpenLink Software, All rights reserved.
Additional Information OpenLink Software:   http://www.openlinksw.com/   http://virtuoso.openlinksw.com/   http://www.openlinksw.com/blog/~kidehen (weblog) Linking Open Data Community Projects   http://linkeddata.org/   http://dbpedia.org/                     © 2006 OpenLink Software, All rights reserved.

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Solving Real Problems Using Linked Data

  • 1.
    Using RDF LinkedData To Solve Real Problems © 2008 OpenLink Software, All rights reserved.
  • 2.
    Situation AnalysisAgility isthe timeless pursuit ofenterprises and individuals alike.In all cases, access, integration, and dissemination of data is pivotal. © 2008 OpenLink Software, All rights reserved.
  • 3.
    What is LinkedData? A term coined by Tim Berners-Lee that describes HTTP-based Data Access by Reference for the Web An unobtrusive tweak to the Web that accentuates its core architecture  Use of HTTP based Identifiers for Naming “Things”  Implicit association of Identifiers with their metadata. © 2006 OpenLink Software, All rights reserved.
  • 4.
    © 2008 OpenLinkSoftware, All rights reserved.
  • 5.
    Problems Identity - People  - Places  - Ideas  - Other Things Data Access & Integration © 2008 OpenLink Software, All rights reserved.
  • 6.
    Problem - IdentityWho Am I ? What are my credentials ? Why do I repeat the above, each time I encounter a new:  Each Web Application / Service  Each Enterprise Application / Service. © 2008 OpenLink Software, All rights reserved.
  • 7.
    Solution – IdentityProblemGet Yourself a Data Space that delivers: A personal HTTP based ID (a URI) Bind Your ID to an X.509 Certificate Bind Certificate to your HTTP User Agents (e.g., Browser) Bind Certificate to your Profile (e.g., a FOAF space). © 2008 OpenLink Software, All rights reserved.
  • 8.
    Solution – IdentityProblem Contd. With the your HTTP ID in place you can then achieve the following: Visit places on HTTP networks with no login and credentials repetitions (Intranet or Web) Use ACL based policies to confine data access to specific groups of people. © 2008 OpenLink Software, All rights reserved.
  • 9.
    © 2008 OpenLinkSoftware, All rights reserved.
  • 10.
    Collective Intelligence © 2008 OpenLink Software, All rights reserved.
  • 11.
    Linked Data –Data Aggregation © 2008 OpenLink Software, All rights reserved
  • 12.
    Problem: Data Access& Integration Enterprise Silos generated by applications bound to:  Disparate DBMS Engines & Data Models  Disparate Development Frameworks Data Silos on the Web such as:  Social Networking Services  Discussion Forums  Blogs  Wikis etc. © 2008 OpenLink Software, All rights reserved.
  • 13.
    Solution – DataAccess & Integration Use Middleware to generate Conceptual Views over Heterogeneous Data Sources using: RDBMS to RDF mapping technology e.g., RDF Views over RDBMS data sources RDFizers to convert unstructured and semi-structured data to RDF. © 2008 OpenLink Software, All rights reserved.
  • 14.
    Conceptual Views ofDisparate Data © 2008 OpenLink Software, All rights reserved
  • 15.
    © 2008 OpenLinkSoftware, All rights reserved.
  • 16.
    Additional Information OpenLinkSoftware:  http://www.openlinksw.com/  http://virtuoso.openlinksw.com/  http://www.openlinksw.com/blog/~kidehen (weblog) Linking Open Data Community Projects  http://linkeddata.org/  http://dbpedia.org/ © 2006 OpenLink Software, All rights reserved.

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