Enterprise Terminology Management - Publishers'...

Enterprise Terminology Management as a Basis for Powerful Semantic Services in Content Publishing

Publishers‘ Forum 2013Berlin, 22 of April 2013

Martin KaltenböckSemantic Web Companywww.semantic-web.at

Christian DirschlWolters Kluwer Deutschland GmbHwww.wolterskluwer.de

@semwebcompany

Agenda of the Workshop

Challenges and Introduction

Solution: Linked Controlled Vocabularies

Terminology WKD Use Case (C. Dirschl, WKD)

Conclusion & Outlook: a new Business Model?

Semantic Services on Top of Terminology Mgnt.

Q&A and Open Discussion… bring your own Use Cases!

© Semantic Web Company – http://www.semantic-web.at/

Semantic Web Company (SWC)

SWC FACTSSEMANTIC INFORMATION MANAGEMENT

• Semantic Web Company founded 2001 in Vienna, Austria• 20 experts in strategy, coding, consulting, research• Product: PoolParty Suite (launched 2009)• Serving global 500 companies• EU- & US-based consulting services

Partner Network


SWC Customers (excerpt)

World Bank

Roche Diagnostics

Credit Suisse

Wolters Kluwer

Biogen Idec

Wood MacKenzie

UNIQA Insurance AG

Pearson

REEEP

British Museum

Education Services Australia

Daimler

A1 Telekom


Challenges and Introduction


We use different terminologies…

We use different languages…

We use different classification systems…

We use different meta data management systems…

We use different glossaries and definitions…

We use content from several data silos…

What are the challenges?

Innovationmanagement Innovation

management

HRMarketing


Terminology = Controlled Vocabulary = SKOS Thesaurus

SKOS = Simple Knowledge Organisation System

L(O)D = Linked (Open) Data

Linked Controlled Vocabularies = using L(O)D principles

Concept based tagging = semantic tagging = semantic annotation

URI = Uniform Resource Identifier

….

I am using a special Terminology ;)


What is a thesaurus, what is the difference to a taxonomy or an ontology?

A thesaurus is expressiveenough to improve mostenterprise applications

significantly

but it is not too complex to create and maintain it

in a sustainable way

Taxonomy – Thesaurus - Ontology


SKOS stands for ‚Simple Knowledge Organization System‘

© Semantic Web Company – http://www.semantic-web.at/ 9

• W3C Standard since 2009

• Based on SemanticWeb standards

• Open for linking withadditional linked data

• W3C Standard since 2009

• Based on SemanticWeb standards

• Open for linking withadditional linked data

http://www.w3.org/2004/02/skos/

What is a Concept? The Semiotic Triangle

conceptconcept

objectobjectlabellabel

A-Class

A-Klasse

W 176

Mental model of „A-Class“

anotherobjectanotherobject

Another mental model of „A-Class“


Concept-tagging vs. Term-tagging

Enterprise vocabulary

--- ------ --- --- ---- ----- ---- ------- --- - --- --- ---- ----- ------

Concept Tagging

Content from CMS

Term Tagging

‚Term-tags‘ become a ‚concept‘as part of the enterprise vocabulary

Concept-tagging is done on top of concepts which are already part of the enterprise vocabulary, thus contextualised and linked to other concepts.

Term-tagging means that tags are extracted from text (automatically via text mining) which are not part of the controlled vocabulary yet.

Term-tags can be inserted into the enterprise vocabulary. This extends and refines the vocabulary more and more.


Solution: Linked Controlled Vocabularies


Using Linked (Open) Data Principles

• Use URIs to denote things.• Use HTTP URIs so that these things can be

referred to and looked up ("dereferenced") by people and user agents.

• Provide useful information about the thing when its URI is dereferenced, leveraging standards such as RDF, SPARQL.

• Include links to other related things (using their URIs) when publishing data on the Web.

Linked Data Principles Tim Berners‐Lee

WHY?• To enable connected vocabularies over several

departments (also different languages)• To enrich a Terminology in the areas of concepts,

synonyms, definitions, relations….• To enable contextualization / data integration

linking different Terminologies

Linked Controlled Vocabularies



1. Each concept in one or many concept schemes2. Each concept has one URI3. Each concept has one ore more labels4. (Poly‐)Hierarchical and non‐hierachical relations5. Matching between concepts from various sources

1. Each concept in one or many concept schemes2. Each concept has one URI3. Each concept has one ore more labels4. (Poly‐)Hierarchical and non‐hierachical relations5. Matching between concepts from various sources

1.

2.

3.4.

5.



• Simple Knowledge Organisation System is a W3C standard to develop enterprise vocabularies

• SKOS provides several properties for vocabularylinking (mapping):– skos:exactMatch– skos:closeMatch– skos:broadMatch– skos:narrowMatch– skos:relatedMatch

http://www.w3.org/TR/2009/REC-skos-reference-20090818/


16© Semantic Web Company – http://www.semantic-web.at/

Semantic Services on Top of Terminology Mgnt.


Semantic Services on Top of Terminology Management

Topic Pages & Dossier Pages

SEO / SEM

Semantic Search

Recommender Systems

Content Aggregation

Data Integration (Services)

Matchmaking Services

Smart Glossary Services



Live‐Demohttp://scot.curriculum.edu.au/

Smart Glossary ServicesExample: Schools Online Thesaurus

Dossier Pages:From ‚Gopher‘ to ‚Super-Mashups‘


Live‐Demohttp://www.reegle.info/countries

Topic Pages: Mashups providing a quick overview


Short Description

Related Concepts

Geo-Search

Content (Tw

itter, Videos etc) fom

several different sourcesAPI

http://

CMS


Live‐Demohttp://www.gbpn.org/newsroom/news-aggregator

Content AggregationExample: GBPN News Aggregator

SKOS & Linked data alignment


Live‐Demohttp://bit.ly/semantic_search

The Business Perspective: Costs of Data Integration


Source: Price Waterhouse Coopers – Technology Forecast, Spring 2009

Semantic Search

„Innovation management methods“ Search

HRMarketing/Sales

Research Production


Live‐Demohttp://pilot4.poolparty.biz/alcedo/

Querying structured data AND unstructured data in one step

IndustryNews

Show me industry news which mention countries or regions to which our export volume has increased over the last 5 years at least by 10% and which deal with one of our products and/or with one of our competitors.

(Federated) SPARQL Queries

Export statistics


Terminology WKD Use Case (C. Dirschl, WKD)



Content Acquisition

Manually collecting data from different sources Most information is publicly not available 1:1 contractual relationships with authors

Content Enrichment

Composing/Bundling

Using internal taxonomies and thesauri Mainly manual enrichment Linking of WK content only

Sales

Customer ServiceOnline libraries as isolated applications Hardly any integration with Web content Only first steps in integration of client software and content

ContentAcquisition

ContentEnrichment

ComposingBundling

PublishingInterfacing Sales Customer

Service Customer

Publishing

Interfacing

Publishing mainly in the context of a distinct product Publishing of texts, not information

Content Supply Chain


Jurion Platform

jDeskReal integration in

local processes

jCloudSecure access and mobility

jStoreAccess to many sources and immediate usage

jBookIndividualisation of

content

jLinkNetworking and Personalisation

jCreateCreate and sell

knowledge

jSearchSemantic search on legal information


Overview Search and Content Enrichment architecture

CMS

CustomerContent

MetadataDB/Services

www… Crawler

Importpath

3rd PartyContent

UGCImportpath

Classification*

Metadata Recognition

Content Enrichment

Classification*

Metadata Recognition

Content Enrichment

Index

Concept Recognition*

Doc. Segmentation

Normalization

Index

Concept Recognition*

Doc. Segmentation

Normalization

User Query

Query Analysis• Concept Recogn.*• Named Entity Recogn.• Semantic expansion*• Link to Taxonomy*

Search

Search Result (Raw)

Result Analysis• Relevance Ranking

Refinement• Data organization

(e.g. faceting)• Further analysis (e.g.

ontology, linked data)

Search Result(Final)

Search Feedback

(e.g. ontology)

* Domain specific requirements

Enrichment Preprocessing/Indexing Search

UserInformation


Jurion – Autosuggest from dedicated knowledge domain database

Domain knowledge in PoolParty is the basis for auto complete;No keywords, but detailed legal concepts are offered


PoolParty for Metadata Storage and Development

Tool for storing the domain knowledge vocabulary; independent of content and metadata database; sound basis for applied knowledge management


Pebbles for Additional Metadata Assignment

Vocabulary maintained in PoolParty is assigned to content via an editorial workflow;Additional free metadata can also be applied


Pebbles as a means to include external knowledge

Leveraging the external knowledge available in the Semantic Web;Automatic inclusion of e.g. synonyms, definitions and references


Linked Data Publishing

vocabulary.wolterskluwer.de


Cooperation between SWC and WKD

Metadata Management

Text Mining

Data Integration

Semantic Search

Thesaurus Management

Knowledge Extraction

Knowledge Model Creation

Knowledge Model Maintenance

Knowledge Model Development

Open Data Usage

Linked Data Usage

Wolters Kluwer

Semantic Web Company

Conclusion & Outlook: a new Business Model?


Enterprise Terminologies: An Explicit Metadata Layer

• Metadata are stored and processed separately from data• Metadata management is part of the enterprise information management strategy

HRMarketing/Sales

Research Production


Linked enterprise vocabularies are the backbone for a semantic infrastructure


Information integration on semantic level

Application (integrated views)

http://company.com/research/1452

http://company.com/production/729

Lean manufacturing

Lean production

http://company.com/regions/Belgium

http://company.com/regions/Benelux broaderrelatedmatch

Experienced publishers can provide support in each of these steps:

1. Publishers have expertise in their specific domain and can support others with this knowledge about adequate concepts and its usage.

2. Publishers can consult partners or customers concerning the different processes that come up with creating standardized data or transforming existing data in the desired format.

3. Publishers can take over the creation of taxonomies or thesauri by using existing resources or engaging their internal domain experts’ network.

4. Enrichment can be supported by publishers in form of planning and executing the linking with external (cloud) or internal (publisher’s) resources and quality management of the linking.

5. Also curation can be executed manually or automatically by specialized tools. Publishers might have better experience in quality improvement of data and appropriate tools at hand.

6. Values of controlled vocabularies lie in the internal structural processes. They can improve functionalities of applications or enable additional services and even completely new applications. Publishers can support in order to use the potential of these data and to monetize the advantages of already existing applications by introducing proper showcases.

7. Maintenance is also an important topic that has to be taken into account as language, data and information change over time. This service can be offered by publishers.

Publishers could therefore support the implementation of external linked data infrastructures by process consulting and content expertise.

Source: A systemic perspective on linked open vocabularies (Blumauer, Dirschl, Eck, Pellegrini)

A Business Model for Publishers?


http://www.semantic‐web.at/http://poolparty.biz

Martin KaltenböckManaging Partner & CFOm.kaltenboeck@semantic‐web.at

42

„We are happy aboutany comments andquestions – and pleasebring in your own usecases now!“

Christian DirschlContent [email protected]

Enterprise Terminology Management - Publishers'...

Documents

Transcript of Enterprise Terminology Management - Publishers'...