Smart Enterprises

Smart Enterprises Successful implementation of semantic technologies in enterprises

DI Georg Güntner

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Abstract

Smart Enterprises Successful implementation of semantic technologies in enterprises

The technologies of the “Web od Data” have reached a degree of maturity and acceptance

allowing the productive use in enterprises for the support of their business processes. Though the

focus is currently on the adoption and use of Open (Linked) Data, the underlying principles can

also be applied to the closed data sources and proprietary data structures usually available in

enterprises.

The presentation outlines the basics and shows concrete application scenarios of an open source

“semantic toolset” that can be integrated with enterprise information and content management

systems to open data silos, establish a layer of adaptive integrated views of the enterprise

information and support decision processes thus paving the way to an “open semantic enterprise”.

The topical semantic toolset for enterprise content integration includes Apache Stanbol (knowledge

extraction), the Linked Media Framework (networked knowledge) und VIE (interactive knowledge).

We show practical examples for the use of the toolset in concrete enterprise application scenarios

Georg Güntner, I-Praxis, 06.09.2012, 14:45

06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 2

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Salzburg Research

Salzburg Research was founded in 1996 as the research organisation of the Province of Salzburg (www.salzburgresearch.at)

Salzburg Research is located at Techno-Z Salzburg and conducts applied research and development in the area of information and communication technologies (ICT)

Salzburg Research employs about 70 researchers and has a turnover of about 4,8 million €

Research areas

Knowledge and media technologies

Computational logistics

Spatial-temporal data mining, quality aspects in the area of geographic information (GI), GI software technologies

Research and consulting in early phases of innovation management

IT- security and QoS networks

Salzburg NewMediaLab – The Next Generation (COMET)

The core activities comprise applied research, technological and methodological support, co-ordination and networking, know how transfer and scientific studies.


http://www.salzburgresearch.at/

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Guide through the Presentation

Semantic technologies in the enterprises:

Case studies and use cases

Abstract problem definition: the „Smart Enterprise“ vision

Toolset for Smart Enterprises

Knowledge Extraction

Networked Knowledge

Knowledge Interactivation

Solutions

„Wings for the Red Bull Content Pool“

„News and Information Platform”

Conclusions


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Semantic Technologies in the Enterprise

Various applications (not restricted to enterprise sector)

are listed, e.g. in the directory of „Semantic Web Case

Studies and Use Cases” at

http://www.w3.org/2001/sw/sweo/public/UseCases/

Sectors:

automotive (2), broadcasting (2), energy (3), IT industry (5), oil & gas (3),

publishing (4), telecommunications (4), utilities (1) (out of totally 46 entries

as of Sep. 2012)

Some examples:

Contextual Search for Volkswagen and the Automotive Industry (Link)

How Ontologies and Rules Help to Advance Automobile Development

(use case at AUDI) (Link)

Semantic Web Technologies in Automotive Repair and Diagnostic (use

case at Renault) (Link)

Active Knowledge Management for Integrated Operations (use case at

Statoil) (Link)

B2B Integration with Semantic Mediation (use case at BT Research) (Link)

WEASEL: Corporate Semantic Web (use case by Vodafone R&D) (Link)


http://www.w3.org/2001/sw/sweo/public/UseCases/

http://www.w3.org/2001/sw/sweo/public/UseCases/Volkswagen/

http://www.w3.org/2001/sw/sweo/public/UseCases/Audi/

http://www.w3.org/2001/sw/sweo/public/UseCases/Renault/

http://www.w3.org/2001/sw/sweo/public/UseCases/Aksio/

http://www.w3.org/2001/sw/sweo/public/UseCases/BT/

http://www.w3.org/2001/sw/sweo/public/UseCases/Vodafone-es/

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Exploitation scenarios in “Salzburg NewMediaLab – The

Next Generation” (SNML-TNG), a centre of excellent

technologies in the COMET programme

(www.newmedialabn.at, labs.newmedialab.at)

Some examples:

Concept based annotation in the ORF media archive (see demo

session)

Semantic search and annotation of media fragments in the Red

Bull Content Pool

Search and recommendation in a heterogeneous content pool at

Salzburger Nachrichten

Enterprise search at Salzburg AG

Search and recommendation in a job portal at derStandard.at


http://www.newmedialabn.at/

http://labs.newmedialab.at/

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Interactive Knowledge Stack (IKS) is an open source

community, whose projects are focused on building an

open and flexible technology platform for semantically

enhanced Content Management Systems (CMS)

www.iks-project.eu

Some examples of Stanbol adoption and integration:

Drupal: Stanbol plug-in; on-going: discussion to use VIE

(createjs) in the user interface

Alfresco: Storage of content enhancements for semantic

search

GOSS iCM: data exploration (navigation, browsing) in the

e-government domain

Nuxeo: Stanbol integration and topic categorisation for the

news domain

Searchbox Demo: Deep integration of IKS stack

Wordpress: Semantic word lift (semantic SEO)


http://www.iks-project.eu/



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Demonstrations shown in the i-Praxis Track

Linked Enterprise Data with the PoolParty Framework (Semantic Web Company)

Semantic Web for Legal Publishers (Wolters Kluwer)

Connect your cloud apps … in style (Gnowsis)

Corporate Semantic Web Day

Berlin, 10.9.2012: at Xinnovations 2012

http://www.xinnovations.de/programm-montag-10.09.2012.html

Further applications

Application of semantic technologies in a network centred approach for corporate

knowledge management: “TechnoWeb 2.0” (Siemens)

http://www.e20cases.org/fallstudie/siemens-wissensvernetzung-mit-technoweb-2-0/

(German)



















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Smart Enterprise

A Vision for Data Integration Derived from the WWW

Attribution:


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Implementation of the Vision in Enterprises

Home User

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Suche über Zeit

Suche mit

Stichworten

Suche mir Angabe

der Materialart

Beiträge aus

anderen

Kategorien

ansehen

Suche v erfeinern

Suche erweitern

Suche einengen

Suche über

geografischen

Raum

Suche über

Anwendungsgebiet

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Institutional “Content Silos” Media- and document archives

Web content (Wikis, Blogs)

Newsgroups, eMails

Trusted Content Providers Partner organisations

Syndication, RSS-Feeds

Agencies

Web Content

Home User

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Beiträge

derselben

Kategorie ansehen

Suche über Zeit

Suche mit

Stichworten

Suche mir Angabe

der Materialart

Beiträge aus

anderen

Kategorien

ansehen

Suche v erfeinern

Suche erweitern

Suche einengen

Suche über

geografischen

Raum

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Communities Customers, subscribers, employees, prosumers

Closed/Private

Open/Public

Knowledge Space Linked Data, Open Data,

Taxonomies

Open/Public

Closed/Private

Home User

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Keyframes

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Beiträge

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Kategorie ansehen

Suche über Zeit

Suche mit

Stichworten

Suche mir Angabe

der Materialart

Beiträge aus

anderen

Kategorien

ansehen

Suche v erfeinern

Suche erweitern

Suche einengen

Suche über

geografischen

Raum

Suche über

Anwendungsgebiet

Suche über

Texteingabe

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Begriffe

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06.09.2012 10 i-Praxis "Smart Enterprises" (G. Güntner)

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What Makes up a Smart Enterprise?

Characteristics of a type of enterprise that uses the concepts of interlinking

at various levels to optimize their business processes:

Operating heterogeneous information systems (loosely coupled, if at all; distinct information

silos)

Storage and management of huge amounts of structured and unstructured digital

information increasingly including media assets

Operating in an agile environment with ever

changing data schemas for structured information

resources

Data sources not only interlinked among themselves,

but also with external information pools.

Smart Enterprises develop policies for

linking their internal information and media

resources with trusted external knowledge bases

and for opening part of their information resources

to the public.

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Abstract Task of Information Management

in Smart Enterprises

Given: heterogeneous, incomplete

datasets with different formats and data

models

Required: unified data representation

with connected datasets, with context

information from the domain and with

additional information from the Web

06.09.2012 12

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Toolset for Smart Enterprises (1)

The „Toolset“ for Smart Enterprises comprises Open Source tools and

frameworks, that can easily be integrated into existing applications

without replacing them

Knowledge Extraction (Apache Stanbol)

Natural language processing (NLP)

Entity linking und disambiguation

Content classification

Metadata extraction

Networked Knowledge (Linked Media Framework)

Implementing the Read-/Write-Webs

based on the Linked Data Principles

Data Federation

Caching

Versioning

Reasoning


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Toolset for Smart Enterprises (2)

The „Toolset“ for Smart Enterprises comprises Open Source tools and

frameworks, that can easily be integrated into existing applications

without replacing them

Knowledge (Inter-)Activation (VIE)

Decoupling of the CMS and the semantic interaction

Semantic content editing

Knowledge based navigation

Semantic search

Open Source: Apache License 2.0 (permissive)


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Knowledge Extraction (Apache Stanbol)

Support for NLP techniques like Named Entity

Recognition, POS Tagging, key phrase Extraction, etc.

Support for automatic interlinking of content with

Linked Data concepts

Support for statistical text classification, allows to train different classifiers

with sample texts for arbitrary categories

Suggest most likely category for a text according to similarity with training

data

Analyse text for positive or negative sentiment (German and English)

15

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Invitation to the IKS Early Adopter Programme

The Early Adopter Programme allows CMS-vendors and system

integrators to validate the software components if the IKS stack.

Please consult us at the IKS booth in the exhibition area.

Examples for demonstrators and solutions developed in the Early

Adopter Programme: Drupal, OpenSaga, Alfresco, Plone,

Searchbox, Wordpress,


www.iks-project.eu

Cf. http://www.iks-project.eu/community/funding/early-adopters-programme

http://www.iks-project.eu/community/funding/early-adopters-programme









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Networked Knowledge (Linked Media Framework)

The Linked Media Framework provides an enterprise information

integration platform based on an extension of the Linked Data

principles aiming at the unified management, integration, interlinking

and processing of information resources in the enterprise or from

Web data sources.

Available under Apache license 2.0 at www.newmedialab.at/LMF,

coming along with a one-click-installer and a profound

documentation

http://www.newmedialab.at/LMF

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The Linked Media Principles

The Linked Media Principles extend the Linked Data

approach in answer to the following challenges:

Linked Data is „read-only“

The Linked Media principles extend Linked Data with updates by using

the REST Web services approach (GET, POST, PUT, DELETE)

Realizing (part of) recent W3C notes on “Read Write Web of Data”

(http://www.w3c.org/wiki/WriteWebOfData)

Linked Data is “data-only”

Linked Media principles extend Linked Data with any media format based

on MIME thus allowing handling of content and metadata in a uniform way

http://www.w3c.org/wiki/WriteWebOfData

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Linked Media Framework

Functionalities / Features

Linked Data Server

with updates, transactions, versioning and SPARQL 1.1 endpoint Easy to set up in 15 minutes (“1-click-installer”)

Unified management of content and metadata

Linked Data Client and transparent caching Direct access, cache server, SPARQL 1.1 endpoints

Automatic retrieval when additional data is required

Rule-based reasoning engine with reason maintenance User-defined rules allow customization

Justifications can give explanations to users

Semantic Search component Making use of Linked Data properties

Highly customizable through “search programs”

Integration with SKOS Managers (PoolParty, SKOSjs)

Integration with Google Refine (google-refine.googlecode.com)

Integration with Apache Stanbol (incubator.apache.org/stanbol/)

http://google-refine.googlecode.com/



http://incubator.apache.org/stanbol/



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Applications and Use Cases


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Scenario: „Wings for the Red Bull Content Pool“

Search and display of semantically enhanced video fragments

Information from various enterprise databases

Technologies and concepts

Resource Description Framework (RDF)

Ontology for Media Resources

Media Fragments URI

SPARQL 1.1 Query Language

HTML 5


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Source material: videos and text transcripts (terminology „concepts“ are manually marked in the screenshot below)


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Content Enhancement with Apache Stanbol


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Structured metadata in the LMF

Semantic search and navigation


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HTML5-Player for video fragments (temporal, spacial)

Time code synchronized visualisation of concepts („catamaran“)


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Scenario: News and Information Platform

Requirements: Stable and performant backbone for the semantic

search in a regional news service; content enhancement; content

recommendation; integration and interlinking of distinct information

sources (articles, wiki pages, blog entries, comments, photos,

videos)

Content basis:

~800.000 articles

50.000 videos and photos

300.000 blog entries and comments

14.000 wiki pages

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Scenario: Semantic Search over News Content

News content from daily newspaper and online news, community content from blogs and wiki

Semantic search over different types of content from different sources

Facetting over metadata that is relevant in the news domain (location, time, category, persons)

Shows how the LMF as core technology can be used to set up a ready-to-use semantic search over heterogeneous sources in short time.

Semantic

Search

News

Articles

Blogs

Videos

Wiki

Text Analysis

(Interlinking,

Annotation)

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Scenario: News Content Recommendation


Content

recommendations

based on the

semantic index in

LMF

www.salzburg.com

http://www.salzburg.com/

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Scenario: Search for Related Images

VIE Integration Widget for tinyMCE for the search of

related images (Alkacon Software GmbH)


Cf. http://alkacon.github.com/vie-related/

http://alkacon.github.com/vie-related/





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Scenario: Annotation and Search

Goal is to simplify

the annotation for

editors and

archivists at the

Austrian Broad-

casting Corporation

(ORF) by linking

with concepts from

a thesaurus and

the Linked Data

Cloud.

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Conclusions: Foundations of Smart Enterprises

Sven pillars for Smart Enterprises (cf. „Open Semantic Enterprise“, Michael K. Bergman)

Graph-based data model (RDF)

(Open) Linked Data technologies

Adaptive ontologies

Ontology-driven applications

Web-oriented architecture

(from linked documents

to linked data)

Layered approach

Open World Mindset


Cf. www.mkbergman.com/859/seven-pillars-of-the-open-semantic-enterprise

http://www.mkbergman.com/859/seven-pillars-of-the-open-semantic-enterprise













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Smart Enterprise: Content Integration Workflow

• The Content Management Systems provide data in various formats (CSV, XML or RSS-feeds) Content Ingest

• Normalisation of the content (conversion to RDF)

• Integration of the content of different systems Content Integration

• Enhancement of the content (interlining with internal and external information sources)

Content Enhancement

• Creation of the search index

• Support for the search interface Semantic Search

• Recommendation of related content Content

Recommendation

• Administrative interface (update, delete, weights, „boost“: configuring the relevance)

Administration

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Process View: Linked Media Life Cycle

© B. Smith - Media Life Cycle and Metadata

Creation

•Plan

•Create

•Acquire

Management

•Organize

•Produce

•Compose

•Maintain

•Enrich

•Store

Transaction

•Sell

•Distribute

•Publish

•Deliver

• Involve

• Interact

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References

IKS-Projekt (EU FP7 – Integrated Project) Website: www.iks-project.eu

Demos: www.iks-project.eu/Demos

Salzburg NewMediaLab – The Next Generation (K-Projekt) Website: www.newmedialab.at

Labs (Demo-Bereich): labs.newmedialab.at

Apache Stanbol Project Repository: incubator.apache.org/stanbol/


Linked Media Framework Linked Media Principles: www.newmewdialab.at/LinkedMediaPrinciples

Google Code-Repository: www.newmewdialab.at/LMF, lmf.googlecode.com

LMF demo: labs.newmedialab.at/DEMO

VIE Project Repository: viejs.org


Weitere Technologien PoolParty: www.poolparty.biz

LD-Path: www.newmedialab.at/LDPath, code.google.com/p/ldpath/

Apache Solr: lucene.apache.org/solr/

Weitere Information Open Semantic Enterprise: www.mkbergman.com/859/seven-pillars-of-the-open-semantic-enterprise





http://www.iks-project.eu/Demos



http://www.newmedialab.at/

http://labs.newmedialab.at/







http://www.newmewdialab.at/LinkedMediaPrinciples

http://www.newmewdialab.at/LMF

http://lmf.googlecode.com/

http://labs.newmedialab.at/DEMO

http://viejs.org/




http://www.poolparty.biz/

http://www.newmedialab.at/LDPath

http://code.google.com/p/ldpath/



http://lucene.apache.org/solr/
















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Please visit us at the IKS booth in the exhibition area!

See also the demos

DI Georg Güntner

Head of Salzburg NewMediaLab – The Next Generation

Salzburg Research Forschungsgesellschaft m.b.H.

Jakob-Haringer-Straße 5/3 | Salzburg, Austria

Tel. +43 662 2288-401 | Fax +43 662 2288-222

[email protected]

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