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Sucessful implementation of semantic technologies in enterprises. Presentation in the i-Praxis track at i-Semantics 2012, Graz (Austria)

Sucessful implementation of semantic technologies in enterprises. Presentation in the i-Praxis track at i-Semantics 2012, Graz (Austria)

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Smart Enterprises Smart Enterprises Presentation Transcript

  • DI Georg Güntner Smart EnterprisesSuccessful implementation of semantic technologies in enterprises
  • 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
  • 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.© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 3
  • 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© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 4
  • 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)© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 5
  • Semantic Technologies in the Enterprise  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© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 6
  • Semantic Technologies in the Enterprise  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)© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 7
  • Semantic Technologies in the Enterprise  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)© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 8
  • Smart Enterprise A Vision for Data Integration Derived from the WWW Attribution:© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 9
  • Implementation of the Vision in Enterprises Institutional “Content Silos” Trusted Content Providers Media- and document archives Partner organisations Web content (Wikis, Blogs) Syndication, RSS-Feeds Newsgroups, eMails Agencies Web Content Suche mir Angabe Suche mit Kategorien Suche über der Materialart Stichw orten brow sen «extend» Texteingabe «extend» Suche über v om System Suche über v ordefinierte geografischen Begriffe Raum Suche über Zeit Suche {abstract} Trefferliste mit Keyframes anzeigen Suche über Anw endungsgebiet Trefferliste ohne Trefferliste mit Keyframes «include» Kurzbeschreibungen anzeigen ansehen Neueste Beiträge Home User anzeigen lassen Suche v erfeinern «extend» «extend» Suche einengen «extend» Am meisten «extend» gesehene Beiträge anzeigen «extend» Suche erw eitern «extend» Beiträge aus Details zu anderen «extend» Einzelbeitrag Kategorien ansehen ansehen Beiträge derselben Kategorie ansehen «extend» Metadaten zu Beitrag ansehen Videosummaries Andere verwandte Einzelne in Low -res (Dauer, Format,...) Ausschnitte Beiträge anzeigen ansehen lassen {abstract} ansehen Push Serv ice Closed/Private Interessensgebiete festlegen «include» New sletter bestellen Closed/Private Open/Public Open/Public Suche mir Angabe Suche mit Kategorien Suche über der Materialart Stichw orten brow sen «extend» Texteingabe «extend» Suche über v om System Suche über v ordefinierte geografischen Begriffe Raum Suche über Zeit Suche {abstract} Trefferliste mit Keyframes anzeigen Suche über Anw endungsgebiet Trefferliste ohne Trefferliste mit Keyframes «include» Kurzbeschreibungen anzeigen ansehen Neueste Beiträge Home User anzeigen lassen Suche v erfeinern «extend» «extend» Suche einengen «extend» Am meisten «extend» gesehene Beiträge anzeigen «extend» Suche erw eitern «extend» Beiträge aus Details zu anderen «extend» Einzelbeitrag Kategorien ansehen ansehen Beiträge derselben Suche mir Angabe Suche mit Kategorien Suche über Kategorie ansehen der Materialart Stichw orten brow sen «extend» Texteingabe «extend» «extend» Suche über v om System Suche über v ordefinierte Metadaten zu geografischen Begriffe Beitrag ansehen Videosummaries Andere verwandte Raum Einzelne in Low -res Suche über Zeit (Dauer, Format,...) Ausschnitte Beiträge anzeigen Suche {abstract} ansehen lassen {abstract} Trefferliste mit ansehen Keyframes Push Serv ice anzeigen Suche über Anw endungsgebiet Trefferliste ohne New sletter Keyframes Trefferliste mit Interessensgebiete bestellen «include» anzeigen «include» Kurzbeschreibungen festlegen ansehen Neueste Beiträge Home User anzeigen lassen Suche v erfeinern «extend» «extend» Suche einengen «extend» Am meisten «extend» gesehene Beiträge anzeigen «extend» Suche erw eitern «extend» Beiträge aus Details zu anderen «extend» Einzelbeitrag Kategorien ansehen ansehen Beiträge derselben Kategorie ansehen «extend» Metadaten zu Beitrag ansehen Videosummaries Andere verwandte Einzelne in Low -res (Dauer, Format,...) Ausschnitte Beiträge anzeigen ansehen lassen {abstract} ansehen Push Serv ice New sletter Interessensgebiete bestellen festlegen «include» Knowledge Space Communities Linked Data, Open Data, Customers, subscribers, employees, prosumers Taxonomies© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 10
  • 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.©
  • 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
  • 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© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 13
  • 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)© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 14
  • 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
  • Invitation to the IKS Early Adopter Programme www.iks-project.eu  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, Cf. http://www.iks-project.eu/community/funding/early-adopters-programme© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 16
  • 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©
  • 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©
  • 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/)©
  • Applications and Use Cases© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 20
  • 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© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 21
  • Scenario: „Wings for the Red Bull Content Pool“  Source material: videos and text transcripts (terminology „concepts“ are manually marked in the screenshot below)© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 22
  • Scenario: „Wings for the Red Bull Content Pool“  Content Enhancement with Apache Stanbol© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 23
  • Scenario: „Wings for the Red Bull Content Pool“  Structured metadata in the LMF  Semantic search and navigation© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 24
  • Scenario: „Wings for the Red Bull Content Pool“  HTML5-Player for video fragments (temporal, spacial)  Time code synchronized visualisation of concepts („catamaran“)© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 25
  • Scenario: „Wings for the Red Bull Content Pool“  Annotation with concepts from the „Web of Data“ (DBpedia)  Interactive extension of the „knowledge base“© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 26
  • 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©
  • Scenario: Semantic Search over News Content  News content from daily newspaper News and online news, community content Articles from blogs and wiki Blogs Semantic Search Videos  Semantic search over different types of content from different sources  Facetting over metadata that Wiki is relevant in the news domain (location, time, category, persons)  Shows how the LMF as core technology Text Analysis (Interlinking, can be used to set up a ready-to-use Annotation) semantic search over heterogeneous sources in short time.©
  • SN Semantic Search Semantic search in heterogeneous news content search.salzburg.com©
  • Scenario: News Content Recommendation Content recommendations based on the semantic index in LMF www.salzburg.com© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 30
  • 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/© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 31
  • 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.©
  • 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© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 33
  • Smart Enterprise: Content Integration Workflow • The Content Management Systems provide data in Content Ingest various formats (CSV, XML or RSS-feeds) Content Integration • Normalisation of the content (conversion to RDF) • Integration of the content of different systems Content Enhancement • Enhancement of the content (interlining with internal and external information sources) Semantic Search • Creation of the search index • Support for the search interface Content • Recommendation of related content Recommendation Administration • Administrative interface (update, delete, weights, „boost“: configuring the relevance)©
  • Process View: Linked Media Life Cycle • Plan • Create • Acquire Creation • Organize • Produce • Compose • Maintain • Enrich Management • Store • Sell • Distribute • Publish • Deliver • Involve Transaction • Interact © B. Smith - Media Life Cycle and Metadata©
  • 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/  Demos: www.iks-project.eu/Demos  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  Demos: www.iks-project.eu/Demos  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© 06.09.2012 i-Praxis "Smart Enterprises" (G. Güntner) 36
  • Please visit us at the IKS booth in the exhibition area! See also the demos Interlinking Media Archives with the Web of Data ConnectME: Semantic Tools for Enriching Online Video with Web Content 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 georg.guentner@salzburgresearch.at©