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Semantic Technology Use Cases and Business Applications
1.
Slide 1 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Technology and Use Cases MarkLogic Overview May 24, 2013
2.
Slide 2 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
3.
Slide 3 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Use Cases § Business Intelligence & Analytics § Information Management § Semantic Search § Semantic Publishing
4.
Slide 4 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Business Intelligence / Analytics • Self-service Analytics • Monitoring & Discovery, specially the unknown • Increase visibility beyond the immediate for anomaly detection
5.
Slide 5 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
6.
Slide 6 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
7.
Slide 7 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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.
8.
Slide 8 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Building a Base for Interoperability CareAlign Exchange
9.
Slide 9 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. A Healthcare System
10.
Slide 10 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Link/Network Analysis
11.
Slide 11 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
12.
Slide 12 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
13.
Slide 13 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Information Management • Implementation of Semantic Layer / Knowledge layer • Metadata Management (reference data, MDM, etc) • Information Fusion (Uniform Access to heterogeneous data silos)
14.
Slide 14 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. McGraw-Hill Financial 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. 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
15.
Slide 15 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Layer as part of reference architecture
16.
Slide 16 Copyright
© 2012 MarkLogic® Corporation. All rights reserved.
17.
Slide 17 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Search • Reduce Noise - more relevant searches • Disambiguation • Expand visibility of matched results
18.
Slide 18 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Search: Values, Text & Concepts Docs Objects Documents Ontologies <Concepts> <Concepts><Concepts> <Concepts> <Relationships> <Attributes> <Attributes> <Relationships> Search Apps
19.
Slide 19 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Search for Scientific Research “Network of Researchers”
20.
Slide 20 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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.
21.
Slide 21 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. M*Modal Use of Semantic Technology for Search 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. 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
22.
Slide 22 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Semantic Publishing • Dynamic Delivery • Multi-channel delivery • Improved workflow
23.
Slide 23 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
24.
Slide 24 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. 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
25.
Slide 25 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Problem: too many silos of information how to find stuff?
26.
Slide 26 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Hub: Solution
27.
Slide 27 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. NPG Ontology
28.
Slide 28 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Nature Publishing Group by Numbers
29.
Slide 29 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. Publishing
30.
Slide 30 Copyright
© 2012 MarkLogic® Corporation. All rights reserved. ETL Process
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