the linked data value chain atif

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Atif Latif

The Linked Data Value Chain:A Lightweight Model for Business Engineers

The Linked Data Value Chain:A Lightweight Model for Business Engineers

PhD Student (Knowledge Management Institute)Technical University Graz , Austriahttp://www.student.tugraz.at/atif.latif/Email: [email protected]

1-Sep-09

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Agenda

Motivation

Overview of Work

Linked Open Data

Linked Data Value Chain Participating Entities and Linked Data roles Types of Data Interaction between Roles

BBC Case Study

Discussion and Potential Pitfalls

Conclusion

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Motivation

Linked Open Data project provides a framework for publishing and interlinking of data.

Limited commercial Semantic Web adaptation

Among other reasons (Complex underlying mechanics, quality, trust, user interfaces etc.)

Caused by lack of conceptual work supporting the development of business cases and identification of associated risk

Motivated by these factors and intended to start discussion which moves business and Semantic Web (Linked Data) closer

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Overview of Work

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.

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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

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Linked Data

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

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Linked Data

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.

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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

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The Linked Data Value Chain

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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.

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The Linked Data Value Chain (our contribution)

Three types of concepts

Participating entities

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

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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

End User: Consuming human readable presentation of Linked

data

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Pariticpating Entites

Corporate or non corporate entities

Persons, Associations and Research institutes etc.

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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.

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Types of Data

Raw Data

Any kind of structured/unstructured data that has not been converted to Linked data

Linked Data

RDF format that uses de-referencable HTTP URI‘s and linked with other resources

Human-readable Data

Data which is intended, arranged formatted for human consumption

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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

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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 Pitfalls

Role-Related Pit-falls are either related to individual roles or to the interaction of different roles.

Data-Related Pitfalls

Data-Related Pitfalls are either related to the data itself or the data transformation process

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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

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Potential Pitfalls

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)

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Conclusion

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.

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Ongoing Work

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/

the linked data value chain atif

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