Copyright 2009 Digital Enterprise Research Institute. All rights reserved. Digital Enterprise Research Institute www.deri.ie Semantic Enterprise 2.0 EnablingSemantic Web technologies in Enterprise 2.0 environment Alexandre Passant, UldisBojars, John Breslin, Stefan Decker Digital Enterprise Research Institute, National University of Ireland, Galway Semantic Technologies Conference 15th June 2009 San José, USA
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Semantic Enterprise 2.0 - Enabling Semantic Web technologies in Enterprise 2.0 environment
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Copyright 2009 Digital Enterprise Research Institute. All rights reserved.
Digital Enterprise Research Institute www.deri.ie
Semantic Enterprise 2.0
EnablingSemantic Web technologies
in Enterprise 2.0 environment
Alexandre Passant, UldisBojars, John Breslin, Stefan Decker
Digital Enterprise Research Institute, National University of Ireland, Galway
Semantic Technologies Conference
15th June 2009
San José, USA
Digital Enterprise Research Institute www.deri.ie
Outline
Introductions and tutorial goals
Overview of Enterprise 2.0
Solving Enterprise 2.0 issues with Semantics
Data models for Semantic Enterprise 2.0
Creating RDF data in Semantic Enterprise 2.0
Consuming Semantic Enterprise 2.0 data
Going further
Use cases
Conclusion
Digital Enterprise Research Institute www.deri.ie
Speakers introduction
Alexandre Passant
Postdoctoral researcher, DERI NUI Galway; PhD thesis
“Semantic Web technologies for Enterprise 2.0”
UldisBojars
PhD student at DERI, NUI Galway, Co-founder of the
SIOC Project
John Breslin
Researcher at DERI, NUI Galway, Lecturer at College of
Electronic Engineering, Co-founder of the SIOC project
Stefan Decker
Director at DERI, NUI Galway
Digital Enterprise Research Institute www.deri.ie
Digital Enterprise Research Institute
Digital Enterprise Research Institute www.deri.ie
Our lineage…
Memex (Vannevar Bush)
A memex is “a device in which an individual
stores all his books, records, and
communications.”
Augmenting Human Intellect
(Doug Engelbart)
“By „augmenting human intellect‟ we mean
increasing the capability of a man to approach a
complex problem situation, to gain
comprehension to suit his particular needs, and to
derive solutions to problems.”
WWW (Tim Berners-Lee)“There was a second part of the dream […] we could then use computers to help us analyse it, make sense of what we re doing, where we individually fit in, and how we can better work together.”
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A Network of Knowledge
Interconnected
Universal
All encompassing
Enable global and local collaboration
The right information for the right people at the right time
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Our Hypothesis…
Collaborative access to networked knowledge assists
humans, organisations and systems with their individual
as well as collective problem solving, creating solutions
to problems that were previously thought insolvable, and
enabling innovation and increased productivity on
individual, organisational and global levels.
Inspired by Doug Engelbart’s original
1962 report of: AUGMENTING
HUMAN INTELLECT: A
CONCEPTUAL FRAMEWORK
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Tutorial goals
What is Enterprise 2.0
Identify the shortcomings of current Enterprise 2.0
ecosystems
Explain how the Semantic Web can help to solve these
issues
Provide technical overview on how to implement a
Semantic Web architecture for Enterprise 2.0
Detail how to create, reuse, consume and mash-up RDF
data from several Enterprise 2.0 services
Discuss use-cases of such approaches
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Whatthis tutorial will not cover
Business process management and relationships with
Semantic Web technologies
Cloud computing, large-scale data management and the
Semantic Web
Natural Language Processing techniques to mine RDF
data from non-structured content
Talk to us if interested in this
Digital Enterprise Research Institute www.deri.ie
Outline
Introduction and tutorial goals
Overview and shortcomings of Enterprise 2.0
Solving Enterprise 2.0 issues with Semantics
Data models for Semantic Enterprise 2.0
Creating RDF data in Semantic Enterprise 2.0
Consuming Semantic Enterprise 2.0 data
Going further
Use cases
Conclusion
Digital Enterprise Research Institute www.deri.ie
From the Web to a “Social Web”
The New Yorker, 1993
“On the Internet, nobody knows
you’re a dog.”
The New Yorker, 2005
“I had my own blog for a while,
but I decided to go back to just
pointless, incessant barking.”
11
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Features of Web 2.0 (O’Reilly)
1. The Web as platform
2. Harnessing collective intelligence
3. Data is the next “Intel Inside”
4. End of the software release cycle
5. Lightweight programming models
6. Software above the level of a single device
7. Rich user experiences
+ The long tail
12
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Web 2.0 in simple terms
1. Users
2. Content
3. Tags
4. Comments
Users post content
Users share content
Users annotate content with tags
Users browse content via tags
Users discuss content via comments
Users connect via posted content
Users connect directly to users
13
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Serious Applications for Web 2.0
Web 2.0 in researchenvironments
UsingWikis for projectproposals
Scientificblogging for communities (e.g. Nature network)
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Enterprise 2.0
Web 2.0 includes applications such as blogs, wikis, RSS feeds and social networking, while Enterprise 2.0 is the packaging of those technologies in both corporate IT and workplace environments
Corporate blogging
Corporate wikis
Social Networking inside organisations
etc.
“Enterprise 2.0 is the use of emergent social software platforms within companies, or between companies and their partners or customers”
Harvard Business School‟s Professor Andrew McAfee
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Enterprise 2.0 and the Web
Many enterprises got an online presence on Web 2.0
services to reach their customers
Twitter, Slideshare, Flickr, etc.
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The SLATES acronym
Andrew McAfee introduced the SLATES acronym to
identify the main features of Enterprise 2.0 systems
Search
– Information must be easily accessible for knowledge workers
Links
– Enable better browsing capabilities between content
Authoring
– Easy interfaces to produce content, in a collaborative way
Tagging
– User-generated classification, enables serendipity and knowledge
discovery
Extension
– Recommendation of relevant content
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Social aspects of Enterprise 2.0
Enterprise 2.0 introduces new paradigms in
organisations with regards to knowledge sharing and
communication patterns
The social aspect is as important than the technical
requirements
Enterprise 2.0 is a philosophy
Enterprise 2.0 success depends on a company‟s
background
A study by AIIM showed that 41% of companies do not have a
clear understanding of what Enterprise 2.0 is while this
percentage goes down to 15% in KM-oriented companies.
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Keys to Enterprise 2.0 adoption
Combining top-down and bottom-up approach helps to
realize Enterprise 2.0
Top-down: Hierarchy sets up new tools and requires various
services to use them
Bottom-up: Users become evangelists and word-of-mouth
improves the number of new users
“An adoption strategy for social software in enterprise”
By using agreed-upon semantic formats to describe people, teams, content objects and the connections that bind them all together, Enterprise 2.0 applications can interoperate by appealing to common semantics
Developers are already using semantic technologies to augment the ways in which they create, reuse, and link profiles and content on social media sites (using FOAF, XFN / hCard, SIOC, etc.)
Hence, it can be applied to extend existing architectures with simple and lightweight add-ons
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Semantic Web in Enterprise
Semantic Web technologies are already widely used in organisations:
Ontology-based information management
Semantic middleware between databases
Intelligent portals
Etc.
Semantic Web Education and Outreach (W3C)
http://www.w3.org/2001/sw/sweo/public/UseCases/
25 case-studies and 12 use-cases
NASA, Eli Lilly, Oracle, Yahoo!, Sun microsystems, etc.
The Semantic Web and the Social Web are not disjoint
But can benefit of each other: Towards a Web of social and
interoperable data
Semantics for the Social Web
Using RDF(S)/OWL models to represent data from online
communities
Social interactions for the Semantic Web
Take advantage of social interactions to provide Semantic Web
data
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Synergies for Social Semantics
“I think we could have both Semantic Web technology supporting online communities, but at the same time also online communities can support Semantic Webdata by being the sources of people voluntarily connecting things together.”
Sir Tim Berners-Lee, podcast
interview during ISWC 2005
http://esw.w3.org/topic/IswcPodcast
35 of XYZ
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Social Semantic Information Spaces
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Semantic Enterprise 2.0 Architecture
Lightweight add-ons to existing applications to provide
RDF data
Exporters, wrappers, dedicated scripts …
Takingintoaccount the social aspect (e.g. semanticwikis)
Models to give meaning to this RDF data
Domain ontologies, taxonomies, etc.
Applications on the top of it
Thanks to RDF(S)/OWL and SPARQL
Most important, it does not require to rebuild IT
infrastructure but can be plugged on existing one !
information contained within message boards, and this
can be leveraged in interesting ways by exposing the
semantic data for new applications
Exporters have been developed for commercial
(vBulletin) and open-source (phpBB) message board
systems, bringing these islands together and allowing
conversations on topics that are taking place across
various sites in a company
Based on the SIOC PHP API
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vBulletin SIOC exporter
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Issues withtraditionalwikis
Structured access
Information reuse
Made for humans,
not machines
Structured access:✗ Other books by JohnGrisham (navigation)✗ All authors that live in Europe? (query)Information reuse:✗ The authors from RandomHouse (views)✗ And what if I don't speak English? (translation)
JohnGrisham
He is the author of PelicanBrief.He lives in Mississippi.He writes a book each year.He is published by RandomHouse.
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Semanticwikis
Capture or identify further information about the pages in
a formal language, so that machines can (at least
partially) process and reason on it
Some systems focus on metadata about the content, some on
the social aspect, some on both
A semantic wiki could be able to capture that an article about
SPARQL related to Semantic Web and present you with further
related information
Various use-cases and prototypes
Some are used for personal knowledge management, others
Allows users to add structured data to the entries, turning it into a semantic wiki
Users can classify the “type” of links, e.g. making a relationship such as “capital of” between Berlin and Germany explicit:
– ... [[capital of::Germany]] ... resulting in the semantic statement "Berlin" "capital of" "Germany"
On the page about Berlin, users can explicitly define its population by writing:
– ... the population is [[population:=3,993,933]] ... resulting in the semantic statement "Berlin" "has population" "3993933"
Currently the most widely-deployed semantic wiki, Semantic MediaWiki is also being used by various organisations, and is being deployed as a service by Centiare and Wikia
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SemanticMediaWiki
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IkeWiki
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UfoWiki
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Outline
Introduction
Overview of Enterprise 2.0
Solving Enterprise 2.0 issues with Semantics
Data models for Semantic Enterprise 2.0
Creating RDF data in Semantic Enterprise 2.0
Consuming Semantic Enterprise 2.0 data
Going further
Use cases
Conclusion
Digital Enterprise Research Institute www.deri.ie
Browsing interfaces
Generic RDF / Linked Data browsers canbeused
Tabulator - http://www.w3.org/2005/ajar/tab
Disco - http://www4.wiwiss.fu-berlin.de/bizer/ng4j/disco/