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The linked data value chain atifPresentation Transcript
Atif Latif The Linked Data Value Chain: A Lightweight Model for Business Engineers PhD Student (Knowledge Management Institute) Technical University Graz , Austria http://www.student.tugraz.at/atif.latif/ Email: firstname.lastname@example.org
Linked Data essential for Semantic Web as hypertext for Web
Linked Open Data facilitating transformation of openly available unstructured data to structured data
Mostly data generated by Research communities and Institutions
Few examples of uptake outside of academia (e.g. BBC Music )
We deem it is important to have a strong conceptual groundwork.
Overview of Work
“ Linked Data Value Chain ” as a model that conceptualizes the current Linked Data sphere.
Inter-dependencies of entities, roles and different types of data: makes the output of the value creation process explicit
Helps in identify and categorize potential pitfalls which have to be considered by business engineers
Applied on concrete BBC case study
Semantic Web has been a great interest to international research community [Berners-Lee, 1998].
Linked Data as a sub topic of this concept gained lot of recognition (attention)
Based on Tim Berner-Lee Idea [Berners-Lee, 2006]
Use URIs as names for things
Use HTTP URIs so that people (and machines) can look up those names
When someone looks up a URI, provide useful information
Include links to other URIs so that they can discover more things
Started by SWEO group
Motivate people to publish their data in structured Format (RDF)
Provide framework for interlinking
Vision of Linked data scientific community can be described as
Facilitate generation of structured ( Linked data)
Build applications on top of this data
Linked data incorporates lot of potential for enterprise [servant 2008]
Significant difference between aims of scientific community and demand, requirements of enterprise i.e. (Revenue flow and value generation)
Commercial adaptation requires discussion of inherent technical , social and business risks.
What is Linked Data Value Chain
A light weight model which is build upon concept of Linked Data and Value Chain
Making interdependencies, role assignment and data transformation more explicit
Linked Data Value chain consists of three components
The Linked Data Value Chain
What is a Value Chain?
The value chain was introduced by [Porter 1985]
In a nutshell,
“ A value chain is a chain of activities producing outputs, each activity increasing the value of its particular output, finally shaping a highly valuable end product”
In the case of Linked Data with respect to business cases, Human-Readable Data is the most valuable output for the targeted End User.
The Linked Data Value Chain (our contribution)
Three types of concepts
Linked data roles
Types of data
Contribution tries to support Business engineers in
Assigning linked data roles to Entities
Modeling interaction ( activities ) and responsibilities of Linked Data roles
Showing how to transform Raw data to linked data and finally to Human readable data
The Linked Data Value Chain
Linked Data Roles
Raw Data Provider:
Any kind of data in non RDF format
Linked Data Provider:
Data in machine readable format e.g de-referencable URI , SPARQL endpoint
Linked Data Application Provider:
Processed Linked data and generate human readable data
Consuming human readable presentation of Linked data
Corporate or non corporate entities
Persons, Associations and Research institutes etc.
Assigning Roles to Entities
Linked Data Value Chain allows flexible assignment of roles
In most cases , one entity just occupy one role.
But in extreme cases, one entity can have more than one or all role at one time
Also different one role can interact with more than one particular role instances.
The Linked Data Value Chain
Types of Data
Any kind of structured/unstructured data that has not been converted to Linked data
RDF format that uses de-referencable HTTP URI‘s and linked with other resources
Data which is intended, arranged formatted for human consumption
Interaction between Roles and Data
Roles are closely connected through three types of data (provide, produce or consume)
Raw Data provider provides raw data as input for Linked data provider , turns it into Linked Data increasing its value by semantically enriching it. Linked data serves as basis for Linked data application provider who generates Human readable data as most valuable output
Identified Pitfall Areas
Each combination of roles and entities as well as every transformation step of data holds inherent risks.
We identified two areas where pitfall may arise
Role-Related Pit-falls are either related to individual roles or to the interaction of different roles.
Data-Related Pitfalls are either related to the data itself or the data transformation process
Case Study : BBC
One Enterprise on cutting edge , deployed Semantic technologies and interfaces is BBC
Pioneer when it comes to adopting Linked Data within a business case
Their system utilizes Linked Data technologies to interconnect distributed micro-sites within the BBC network e.g. news, food, music etc
Utilizing external resources like DBpedia, MusicBrainz for addition to end user value
Linked Data Roles and Participating Entities in BBC case study
Tansforming data is time consuming and semi-automatic effort (completeness, correctness, up-to-dateness )
No automated feed back loop leading back to raw and Linked Data provider
Long transformation intervals
Links to third party site might take traffic away (Widget)
Dedicated to facilitate the commercial uptake of the Semantic Web vision
Linked Data Value Chain as a lightweight model for business engineers to support the conceptualization of successful business cases.
We identified three main concepts: Different Entities acting in different Roles, both consuming and providing different Types of Data.
Certain Limitations and Pitfalls identified
We built a proof of concept application
Bridge a gap between Semantic Search and end users.
A simplified keyword search mechanism which hides the complex underlying semantic search logic
A novel Concept Aggregation Framework to present the most relevant information of LOD resources in an easy to understand way.
Online Access at http://cafsial.opendatahub.org/
Publication at http://www.student.tugraz.at/atif.latif/