Semantic Technology Use Cases and Business Applications

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Semantic Technology and Use Cases
MarkLogic Overview
May 24, 2013

Semantic Use Cases: Why do you care?
§ Recently, Gartner Identified Top Technology Trends
Impacting Information Infrastructure in 2013
Top Five
§ Big Data
§ Modern Information Infrastructure
§ Semantic Technologies
§ The Logical Data Warehouse
§ NoSQL DBMs

Semantic Use Cases
§ Business Intelligence & Analytics
§ Information Management
§ Semantic Search
§ Semantic Publishing

Business Intelligence / Analytics
• Self-service Analytics
• Monitoring & Discovery, specially the unknown
• Increase visibility beyond the immediate for anomaly detection

Enable the “Discovery Zone”
Logical Data Warehouse
§ Use MarkLogic for Ad-hoc Analytics
§ MPP for static reports
§ Intel Hadoop for Big Data/Layer
§ Tableau/BI for visualization

McGraw-Hill Platts
Results
A flexible, cloud-based platform that allows hospitals &
providers to gain clinical intelligence to improve quality of
diagnostics, communication to doctors, accurate ICD-10
coding and enhanced business analytics.
§ Building a new BI/Analytical framework
for Data Discovery
§ Uses Data Visualization, Unstructured
Search and Semantic Analysis in a single
unified Dashboard
§ Uses Hadoop & Temis for generation of
triples
§ Energy specific Ontologies are used for
Navigation and Entity/Concept extraction
§ MarkLogic as core analytical engine
providing SQL, full-text Search and SPARQL
queries

ICA’s agile interoperability platform responds to
the dynamics of the healthcare industry
Goal
Be first to market with an interoperability & informatics
platform to share clinical records across facilities
Solution
ICA chose MarkLogic to power its CareAlign solution
unifying disparate records– without touching schemas,
allowing HIES to leverage existing core systems to
construct a longitudinal patient records.
Results
ICA has an agile methodology that delivers new feature
releases biweekly. In unifying data across regions in a
cost effective manner, CareAlign can lower costs of
treatments and improve patient care.

Building a Base for
Interoperability
CareAlign Exchange

A Healthcare System

Link/Network Analysis

Link Analysis for fraud detection
Devon Michael Spicer Multiple NPI
7447 Harwin Drive,
Suite 217
Houston, TX 77036
Brainex Consulting
1962702597
Mindex Consulting
17506811466
POC Value – Linking Devon Michael Spicer multiple NPI

Linking Known Entities to Examine Aberrant
Behaviors and Relationships
Invision Pros
Verona Spicer
Devon Michael Spicer
Elite Care Medical Services
7447 Harwin Drive,
Suite 109
Houston, TX 77036
1740298868
Brainex Consulting
1962702597
Mindex Consulting
17506811466
POC Value – Linking Claims and Non Claims Data (Dunn & Bradstreet) to find
Suspect relationships and billing behaviors

Information Management
• Implementation of Semantic Layer / Knowledge layer
• Metadata Management (reference data, MDM, etc)
• Information Fusion (Uniform Access to heterogeneous data silos)

McGraw-Hill Financial
Results
Semantic Layer Architecture
§ Building a Semantic Layer as a more
flexible data layer interconnecting all
assets in their inventory
§ Uses Hadoop & Temis for process
unstructured text content and extract the
names, dates, organizations, events, etc.
that exist in documents.
§ Domain specific Ontologies, Taxonomies &
Controlled vocabularies (Energy,
Construction, Aviation, etc)
§ Knowledge stored and manipulated in the
form of triples inside MarkLogic
§ MarkLogic as Document Database, Triple
Store and Search engine

Semantic Layer as part of reference architecture

Semantic Search
• Reduce Noise - more relevant searches
• Disambiguation
• Expand visibility of matched results

Semantic Search: Values, Text & Concepts
Docs
Objects
Documents
Ontologies
<Concepts>
<Concepts><Concepts>
<Concepts>
<Relationships>
<Attributes>
<Attributes>
<Relationships>
Search Apps

Semantic Search for
Scientific Research
“Network of Researchers”

The M*Modal Catalyst Solution
NLU solution to provide the appropriate information at the
appropriate time for healthcare
What It Delivers:
§ Understanding of narrative information, both real time and retrospectively.
§ Linked to the enterprise to gain visibility of the entire patient story.
§ Enables the ability to push messages and information at the point of care.

M*Modal Use of Semantic Technology for Search
Results
Concept Search of not terms but
medical concepts
§ Semantic Search and Analytics of
Medical Content
§ Uses NLP to process unstructured text
content and extract the names, dates,
organizations, events, etc. that are talked
about within the text.
§ Medical Ontologies to map terms to medical
concepts
§ Knowledge stored and manipulated in the
form of documents and triples
§ Proprietary Triple store to store & query
semantic layer on top of medical
documents
§ MarkLogic as Document Database and
Search engine

Semantic Publishing
• Dynamic Delivery
• Multi-channel delivery
• Improved workflow

Dynamic Publishing Platform
Internal Docs
• PDF
• XML
Structured Data
• Users
• Digital Rights
RDF Data
• Internal
• Open Web
<XML/>
Web Applications
API’s for Consumer
Apps
Mobile/Social Apps
Business Intelligence
External Data
• Web Pages
• Social Data
Text Mining &
MapReduce
Ontologies
Entity Enrichment
Concept Extraction
Classification
Triple Store

Nature Publishing
§ World leader in scientific information
§ Pioneer in digital products
§ Early work to go online, to the web
§ Multimedia since mid 2000s
§ Experiments with peer review and community tagging
§ MarkLogic customer since 2006
§ Mobile apps since 2009

Problem: too many silos of information
how to find stuff?

Hub: Solution

NPG Ontology

Nature Publishing Group by Numbers

Publishing

ETL Process

Semantic Technology Use Cases and Business Applications

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