Andreas BlumauerDirectorPoolParty Ltd, UK

Linking SharePoint Documents with Structured Data

Towards Unified Views of Business-critical Information

Graph-based Introduction

2Semantic Web

Company

Founder & CEO of

Andreas Blumauer

developer & vendor of

2004founded

7.0version

active at

based on

partners with

part of

EnterpriseKnowledge

Graphs

manages

standard for

part of

>200serves customers

Taxonomies

Ontologies

standard for

graduates

Text Mining

used for

Graph databases

integrateswith

PoolParty Software Ltd

Director of

parent company of

London

located

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3Problem Statements from our customers

Data is often bound to specific applications which reduces reuse of the data dramatically.

Tight coupling of data to applications limits the options to connect the data to other internal and external sources.

People should participate in a data sharing culture which is beneficial for the whole enterprise.

When we cannot express data in relational formats we typically leave the data in a non-machine readable format in a document.

Data scientists should benefit from more consistent semantics of data to be reused for various machine learning tasks.

4GartnerHype Cycle for Artificial Intelligence, 2018

> Read more

Organizations can expect significant value from knowledge graphs in many areas:● ...● Interrelated data is contextualized data, thereby aiding its discovery and

findability via implicit and indirect connections.● Once structured in the form of a knowledge graph, unstructured data can be

queried, thereby preprocessing it for analysis.

5Example:HR Analytics

As an HR manager, for upcoming training programmes, I want to identify employees who

● have a certain skill set● have a specific degree● have skills that are increasingly

important on the labour market● fall into a specific salary range

Employee database

Resumes

Labour market statistics

→ Linking Structured to Unstructured Data

6Example:Research in Life Sciences

As a researcher in pharmaceutical industry, I want to plan new experiments more efficiently. I want to know what’s already available. I’m interested in former experiments where

● certain genes were tested● under specific treatment conditions● in a target therapeutic area● with help from categorisation

systems like ‘disease hierarchies’

UniProt, ChEMBL

Experiments Documentation

MeSH

DrugBank

→ Linking Structured to Unstructured Data and to Industry Knowledge Graphs

7Making Use of Knowledge Graphs

Experiments

→ Knowledge Graphs serve as means to enrich unstructured information to provide a rich set of additional access points to document repositories

8Making Use of Knowledge Graphs and Automated Reasoning

9Example:Recommender System

Project database

Meeting notes

Interest and working profiles

→ Benefiting from automatic recommendations based on personal profiles

As an expert working for an International Development Bank, I want

● to get a better way to disseminate information to our staff so that projects would be more efficient and more successful,

● to receive relevant articles and information when meetings are scheduled,

● during searches, and eventually to power a chat bot.

“Things but not Strings”: Semantic Knowledge Graphs manage resources, not just terms

http://www.my.com/taxonomy/62346723

prefLabel

Retina

image

http://www.my.com/images/90546089

http://www.my.com/taxonomy/97345854

prefLabel

Funduscope

altLabelOphthalmoscope

http://www.mycom.com/taxonomy/4543567

prefLabel

Diagnostic Equipment

has broader

PoolParty Semantic Suite

Most complete Semantic Middleware on the Global Market

11Bain 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 & Semantic Classifier

Data Integration & Data Linking

UnstructuredData

Semi-structured

Data

StructuredData

UnifiedViews

PoolParty GraphSearch

Identify newcandidate conceptsto be included in a controlled vocabulary

Controlled vocabularies as a basis for highly precise knowledge extraction

and text classification

Entity Extractor informs all incoming data streams about its semantics and links them

RDFGraph Database

Factsheet

Schema mapping based on ontologies

12Integrating data along the Linked Data Life Cycle

PowerTagging for SharePoint and PoolParty at a Glance

13▸ On-premise: PowerTagging Server can be part

of SharePoint farm’s application server▸ Hybrid scenario: PowerTagging Server can be

both on-site or Azure located▸ Integrations: SharePoint 2013 / 2016,

Office 365

PowerTagging for SharePoint has been developed by Soitron Group

Autotagging & Manual Tagging

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Tags are added automaticallybased on PoolParty Entity Extractor

Autotagging & Manual Tagging

15

Tag Refinement Dialogue

16

Quick Filtering by tags

17

PowerSearch: Semantic Search for your SharePoint

18

PowerSearch: Introducing your own Knowledge Graph

19 ▸ Entity-centric views and context information about your search term

▸ Additional search refiners▸ ‘Traversing the knowledge

graph’▸ Highly configurable

‘knowledge base’▸ Search, Learn, and

Understand

Benefits

PowerTagging▸ Consistent tagging based on controlled vocabularies▸ Automatic tag suggestions based on text analytics ▸ User-friendly enterprise taxonomy management▸ Taxonomies kept in sync with Term Store

PowerSearch▸ Concept based search: autocomplete from taxonomy▸ Automatic use of synonyms: get precise results ▸ Configurable search refiners: faceted search based on

taxonomy hierarchy▸ Include fact box for search term in search results:

benefit from additional context information

20

Two Integration Scenarios

21DAM/CMS

Option 1:Concepts are derived from a taxonomy and tagging is stored together with the asset in the DAM/CMS

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http://apple.com/graph/1234PoolParty

API

Option 2:Concepts are derived from taxonomies, and any tag event is stored in a Graph Database to link all assets with concepts from the graph.

DAM/CMS

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http://apple.com/graph/1234PoolParty

API

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LD Store

Wed 3 May, 2017User4711

DAM/CMS API

PoolParty

PoolParty

Maturity Model

Roadmap for a more agile Data Governance Framework

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GraphSearch over Integrated Data incl. SharePoint

23

Demo

Link

24

How it works

25 Employee database

Resumes

Labour market statistics

PoolParty UnifiedViews

RDFGraph Database

PoolParty GraphSearch

PoolParty Thesaurus Server

PoolParty User

Now I can identify employees along many dimensions.

Core Principle

The Semantic Layer completes the Four-layered Data & Content Architecture

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CONNECT

Andreas BlumauerDirector, PoolParty Software LtdCEO, Semantic Web Company GmbH

▸ andreas.blumauer@semantic-web.com▸ http://linkedin.com/in/andreasblumauer▸ https://twitter.com/semwebcompany

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