Enterprise semantics

Enterprise Semantics
Use Cases & Applications

Andreas Blumauer
Semantic Web Company
www.semantic-web.at
www.poolparty.biz

Presenters

Welcome to the webinar!

Andreas Blumauer Juan Sequeda
Semantic Web Company Capsenta
(Vienna, AT) (Austin, TX)

© Semantic Web Company – http://www.semantic-web.at/ 2

Agenda

1 Introduction to enterprise semantics
2 Technologies behind enterprise semantics
3 Linked enterprise vocabularies
4 Latest developments of PoolParty platform
5 Concept based semantic enterprise search
6 Enterprise linked data integration
7 Conclusion


Enterprise semantics – use cases

The basic idea:
What if we could make queries by using our own words over a large variety
of data sources in our enterprises as they were in one large knowledge
base?

Concept based enterprise search
Better search results across various sources with help from an
enterprise vocabulary

Topic pages: 360O views
All kind of data and information about all kind of things (business
objects) in one place at your fingertips

Complex queries
Link information from unstructured & structured data sources to
answer queries more complex than ‚Where is my pizza?‘

The challenge

Information overload:
The strange feeling of having a lot of data in many silos which actually would be
sufficient to give answers to important questions if they were only better
accessible and linked to each other.

Reports
Profit increase
AT +2%
BE -3%
CHN +8%
While BMW profit
GER +1% rose overall,
earnings from
FRA -5%
cars alone fell
UK -4% because of lower
US +1% prices in England,
Germany and
France.


Concept-based semantic search

pipe search
Semantic:
prefLabel
Can the search
pipe
pipe phrase
altLa
b el be found

narrower
tube
tube
Traditional: analogously?
Can the search phrase
be found literally prefLabel
ERW
ERW
in the document?

--- -- ----- -- --- -- -- ---
------ ---- --- ------ ---
------ --- ------ --- ----
------ --- --- --- ----ERW
----ERW --- ---- ----- ----
----- ---- ---- ---- ---- ---
---- ---


Topic pages:
360O views on business objects

Articles (twitter, videos etc.) can be retrieved
Short

from various content sources
description http:
http:

Related
concepts
CMS
CMS

Geo search

API
API


Example: Energy Country Profiles

http://reegle.info/countries

Complex queries

Example query: „Show all reports in which at least one of our
competitors and trends on markets are mentioned in which our
profit increased last year by at least 2%.“

Reports
Profit
AT +2%
BE -3%
CHN +8%
While BMW profit
GER +1%
rose overall,
FRA -5% earnings from cars
UK +4% alone fell because
of lower prices in
US +1% England, Germany
and the US.


The enterprise search and business
intelligence market

Year in which the 2014 Semantics is explicitly available via linked knowledge graphs.
underlying Content from various sources and deparments can be linked and
technology will
Linked Data mashed on top of an explicit meta data layer. Complex queries
be/has been rolled based search which use data from many sources can be made by using the
out. standard query language SPARQL.

2011 Semantics is explicitly available by using controlled
vocabularies and thesauri. Thesauri are the basis for precise
Concept- text analysis and to build a semantic index. Building knowledge
based search models is especially cost-efficient for larger organisations since a
more precise search can be provided.

No Standards
2005 Semantics is calculated by text analysis. Example: Because
Term-based „Dieter Zetsche“ frequently occurs together with „Daimler
AG“ in a text the algorithm assumes that those two phrases
search relate somehow to each other. Term-based methods are less
precise than the two from further above.


Agenda

7 Conclusion


The Linked Data solution approach

One data model (RDF) which is expressive and flexible
enough to describe data from the relational world, XML
and text.

One semantics (SKOS) which is expressive and flexible
enough to describe and to align the meaning of data from
various domains.

One query language (SPARQL) which is expressive and
flexible enough to do queries (reports) across various data
sources.

The World Wide Web Consortium (W3C) has released in recent years a series of
standards which were especially developed for data management in agile, distributed
and networked systems, e.g. the World Wide Web or also global enterprises or NPOs.


The RDF/SKOS Enterprise Data Bus

RDF is W3C standard since 1999, SPARQL is W3C standard since 2008. SKOS is W3C standard
since 2009. RDFa is W3C standard since 2012. R2RML is W3C standard since 2012.

All data in one data model (RDF),
one semantics describing all data (SKOS)

SKOS-based RDFa, SKOS- XML2RDF R2RML
entity based entity mappings, SKOS- mapping, SKOS-
extraction extraction based entity based entity
extraction extraction

<XML>


Yet another data silo?

SPARQL 1.1 Federated Query is a proposed W3C standard since 2012

<XML>


Agenda

7 Conclusion


Business groups share common processes,
topics. But how do they communicate?

Research

HR
Marketing

Production

Is it through a common vocabulary?
Or common understanding?

Innovation
management Innovation
management

HR

Marketing

Globalization + Localization =
New demands on business vocabularies

Luxury car
Luxury car

Marketing
(U.S.)
Marketing
(Europe)

Querying third-party
data in your own language

‘Lean manufacturing’ Search

Research

‘Lean
enterprise’
Production

Thesaurus Alignment: Use of common
phrases with similar meanings
Lean
manufacuring
Lean
production

Production
Research

Similar concepts,
but different contexts
Corporate
Semantic http://company.com/ skos:exactMatch http://dbpedia.org/r
http://dbpedia.org/r
esource/Lean_Manuf
esource/Lean_Manuf
Web core/23432 acturing
acturing

skos:exactMatch
skos:closeMatch

http://company.com http://company.com
/research/1452 skos:closeMatch /production/729

prefLabel:Lean manufacturing prefLabel:Lean production
altLabel: Lean production altLabel: Lean enterprise
broader: Lean concepts broader: Production management
related: Scientific management, related: just in time, rationalization,
Kaizen group work

Linked data alignment is key

Tools for (semi-)automatic linked data alignment:

•PoolParty Thesaurus Server -
http://poolparty.biz/products/poolparty-thesaurus-
manager/
•SILK - http://lod2.eu/Project/Silk.html
•LIMES - http://lod2.eu/Project/LIMES.html

Agenda

7 Conclusion


Advanced Thesaurus Alignment

PoolParty Thesaurus Server (PPT) supports multiple thesaurus management and
automatic alignments between several thesauri. PPT provides APIs and tools to publish
enterprise vocabularies in your enterprise service stack/cloud and to integrate them with
other enterprise services like search.


PoolParty ‚PowerTagging‘ and
‚Push-API‘

Concept-tagging is done on top Enterprise vocabulary
of concepts which are already
part of the enterprise
vocabulary, thus contextualised
‚Term-tags‘ become a ‚concept‘
and linked to other concepts.
as part of the enterprise vocabulary

Term-tagging means that tags
are extracted from text
(automatically via text mining)
which are not part of the
Concept Tagging
controlled vocabulary yet.
--- ------ Term Tagging
Term-tags can be inserted into --- --- ----
the enterprise vocabulary.
This extends and refines the
----- ----
vocabulary more and more. --- ---- ---
- --- ---
---- -----
------
Content from CMS


Remember: Concept-tagging is a
pre-condition for semantic search

pipe search
Semantic:
prefLabel
Can the search
pipe
pipe phrase
altLa
b el be found

narrower
tube
tube
Traditional: analogously?
Can the search phrase
be found literally prefLabel
ERW
ERW
in the document?

--- -- ----- -- --- -- -- ---
------ ---- --- ------ ---
------ --- ------ --- ----
------ --- --- --- ----ERW
----ERW --- ---- ----- ----
----- ---- ---- ---- ---- ---
---- ---


PowerTagging for Sharepoint


Sharepoint Termstore (MMS) /
PoolParty Integration


PowerTagging for Confluence

• Automatic free- and concept-tagging: based on
text mining and enterprise vocabularies
• Better search experience: Semantic Indexing
• Content recommendation:
Display similar
content from
Confluence
or Wikipedia
https://marketplace.atlassian.com/


Agenda

7 Conclusion


Concept based search with Mindbreeze


PoolParty/Mindbreeze Integration

ex
h

te
ric
en

nd
en
ri c
h

extend


Agenda

7 Conclusion


PoolParty/UltraWrap

WTO
Standard
Thesaurus NYT
Economics


Demo: agile data integration
Virtuoso endpoint of NYT Corpus:
http://lod2-stack.semantic-web.at/sparql

Capsenta Ultrawrap endpoint: PPT endpoint: http://ultrawrap.semantic
http://tata.csres.utexas.edu:8090/sparql web.at/PoolParty/sparql/STW


Demo application


Complex queries

„Show all NYT news in which countries or regions are
mentioned which belong to the top-5 exportes of financial
services in 2006.“

NYT News
WTO
UK $ 51bn
LUX $ 32bn
CH $ 15bn
While BMW profit
GER $ 8bn
rose overall,
IRE $ 7bn earnings from cars
ESP $ 4bn alone fell because
of lower prices in
BEL $ 3bn Spain, Germany
and the US.


Further possible example queries

• How much SERVICE INDUSTRIES did MID EUROPE countries export in
2010?
• Get all countries that are located in the region of MID EUROPE from the
STW thesaurus
• Get New York Times articles from top 10 exporters of financial services
in a given year
• Sum of exports of some country in 2000
• Get a List of Countries and Regions with their label and the amount of
exports in a given year
• Gets articles for countries that are located in midEurope.
• GET services from STW that have exactMatches to Capsenta Services
• Get STW services and matching UW services and their countries with
exports in a given year


Agenda

7 Conclusion


Explicit semantic layer

Data Data
Research Production

Enterprise semantics:
• Stored and processed separately from data and metadata
• Enterprise semantics is part of the enterprise information management strategy

Data Data
Marketing/Sales
HR

„Many thanks for your
interest!

Do you have questions or any
comments?“
Mag. Andreas Blumauer
Managing Partner
a.blumauer@semantic-web.at

Semantic Web Company GmbH http://www.semantic-web.at/
Mariahilfer Strasse 70/8 http://poolparty.biz
1070 Vienna
Austria http://twitter.com/semwebcompany


Enterprise semantics

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