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PoolParty Semantic Suite Dr Ian Piper Company Consultant ... · Sebastian Gabler Consultant,...

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Sebastian Gabler Consultant, Semantic Web Company Dr Ian Piper UK Director PoolParty Semantic Suite Information Energy 2017 May 18th 2017 From Strings to Things - and from Lists to Taxonomies 1
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Sebastian GablerConsultant, Semantic Web

Company

Dr Ian PiperUK Director

PoolParty Semantic Suite

Information Energy 2017May 18th 2017

From Strings to Things - and from Lists to Taxonomies

1

Introduction

2Semantic Web

Company

Consultant

Sebastian Gabler

developer and vendor

2004

founded

5.7

current Version

follows

based on

Vienna

located

part ofTaxonomies Knowledge

Graphs

managed with

standard forpart of

is a

>200serves customers

follows

knows

Dr Ian M Piper

AGENDAPART 1 (Sebastian Gabler)● Implicit and explicit semantics● Knowledge Acquisition Models● PoolParty Taxonomy management

PART 2 (Ian Piper)● Using the Enterprise Knowledge Graph● Integrating Knowledge Graphs into Content Management

Systems(Remark: the last 3 points are not covered in this slide deck as they were performed as live demonstrations.)

3

Four-layered Content Architecture

4

USING THE SEMANTIC LAYER ALONG THE CONTENT LIFE CYCLE

5

Types of Knowledge models

Implicit and explicit Semantics

6

Content is King?

▸ Natural languages

▸ Ambiguity versus Universality▸ Context information and background knowledge needed

7

Susan observes Mike on a tower with a telescope.

Context is King!

▸ Natural languages

▸ Ambiguity versus Universality▸ Context information and background knowledge needed

8- Susan and Mike are persons.- Yesterday, Michael bought a Celestron.- If one buys something, (s)he owns it and

can use it.- Mike and Michael are the same person.- A Celestron is a type of telescope

Susan observes Mike on a tower with a telescope.

Natural knowledge acquisition

9 Bla bla bla bla. Bla bla bla bla

The stove is on. The stove is hot!

Ontological model → reasoningTaxonomical model → is-a abstractions

Bla stove bla bla. Bla bla bla hot

Switched on devices are dangerous devices.

Switched on devices are dangerous, only if the operating temperature is above 100 degrees and the automatic shutdown mechanism is broken.

The stove is on. The stove is hot!

Statistical model/co-occurrences → is related

The stove is on. The stove is hot!

Bla bla bla bla Bla bla bla bla.

Semiotic Triangle

The level of efficiency of an Interpretant depends mainly on its ability to correctly link a symbol with the object it stands for.

10

TelescopeSymbol

Object

Interpretant

Semiotic Triangle

The level of efficiency of an Interpretant depends mainly on its ability to correctly link a symbol with the object it stands for.

11

TelescopeSymbol

Object

Interpretant

http://dbpedia.org/resource/Telescope

List of Strings

12

Taxonomies

13

skos:Concept

Anthony van

Hoboken

skos:prefLabel

skos:Concept

skos:related

Joseph Haydn

skos:prefLabel

Papa Haydnskos:altLabel

skos:Concept

Michael Haydn

skos:prefLabel

skos:related skos:ConceptScheme

skos:inScheme

skos:inScheme

Person

skos:prefLabel

skos:Concept

Symphony No. 23

skos:prefLabel

skos:Concept

skos:broader

Hoboken Catalogue

skos:prefLabelskos:related

http://localhost/Music/1823

rdf:about

SKOS business value

• A simple, well-defined, easy to understand format for taxonomies

• An extensible model for flexible taxonomy building

• A fundamental building block for semantic content classification

14

Cost trade-off

15

Thesauruses provide an "interpretive layer of semantics" between what we are looking for and the information stored in databases, file systems, the web or any other place where we try to store and retrieve information. (ANSI/NISO, 2005, S.11)

SKOS

Progressive Knowledge Aggregation

16Bain Capital is a venture capital company based in Boston, MA.Since inception it has invested in hundreds of companies including AMC Entertainment, Brookstone, and Burger King. The company was co-founded by Mitt Romney.

Taxonomy & Ontology Server

Entity Extractor & Text Mining

Data Integration & Data Linking

UnstructuredData

Semi-structured

Data

StructuredData

UnifiedViews

PoolParty GraphSearch

identify newcandidate terms

controlled vocabulary: High-precision extraction base

entity extractor informs all incoming data streams about its Semantics, linking them

Meet the PoolParty Team at some major events in 2017

17 June 12-14, LondonMarkLogic World 2017 EMEA> More information

Sep 11-14, Amsterdam13th Int. Conference on Semantic Systems> More information

Nov 6-9, Washington D.C.KM World and Taxonomy Bootcamp> More information

Oct 17-18, LondonTaxonomy Bootcamp> More information

Oct 21-25, Vienna16th Int. Semantic Web Conference> More information

CONNECT

Dr Ian PiperUK PoolParty DirectorTellura Information Services Ltd.▸ [email protected]▸ https://www.linkedin.com/in/ianpiper ▸ https://twitter.com/tellura_tweets ▸ http://tellura.co.uk/

18

© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/

Get in touch

Sebastian GablerConsultant, Semantic Web Company

[email protected]▸ https://at.linkedin.com/in/SebastianGabler▸ https://poolparty.biz

19

© Semantic Web Company - http://www.semantic-web.at/ and http://www.poolparty.biz/


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