Download pptx - MarkLogic User Group - Best of MLW and Search + Semantics

<presentation/>

<presenter>Matt Turner</presenter><title>Chief Technologist, Media Solutions</title>

Slide 2 Copyright © 2013 MarkLogic® Corporation. All rights reserved.

<MLUGL><intro/><talk>

<bit>Mission Impossible</bit><story>Wiley</story><story>Springer</story><story>Mitchell1</story>

<bit>Search and Semantics<bit><demo>Old Skool</demo>

</talk></MLUGL>


Mission(s) Impossible


<story>http://www.marklogic.com/resources/slides-gearing-up-for-the-content-factory-to-quickly-create-innovate-and-monetize/</story>








<story>http://www.marklogic.com/resources/betting-the-company-how-springer-successfully-insourced-its-flagship-content-platform/</story>





















<story>http://www.marklogic.com/resources/the-journey-from-print-to-online/</story>



65 OEM Auto and Part Manufacturers

Data on every modern car sold in US Repair Diagnostics Maintenance Technical Service Bulletins

(TSBs) Wiring Estimator

Mitchell1: Data




Mitchell1: Data Then, Data Now






Mitchell1: Market Reactionhttps://www.youtube.com/watch?v=IfM8v-8NY_4&list=UUIOYnh6LBFooV_YxlPVPLvA&index=36

http://www.youtube.com/watch?v=IfM8v-8NY_4&feature=player_embedded


Search . . . and Semantics


One Question . . .


Who’s Smarter?

VS


Do domestic dogs interpret pointing as a command? Animal Cognition (2012): 1-12 , November 09, 2012By Scheider, Linda; Kaminski, Juliane; Call, Josep; Tomasello, Michael


What if . . .


HOW?

SEMANTICS!


The Basic Idea

Get some triples . . . if you haven’t already

• Grabbed DBPedia• Dumped in Linked Data Consortium• Loaded Lehigh• and NYT’s open data

You are behind!

But what if you could add in documents?


Rich MarkLogic Applications .. Made Richer


Rich MarkLogic Applications .. Made Richer

Name: John SmithAffiliation: IBMTimezone: PSTCommitter: Hadoop


Semantics Architecture

TRIPLE

XQY XSLT SQL SPARQL

GRAPHSPARQL


Triple Index

• 3 triple orders• Cached for performance• Works seamlessly with other indexes• Security• 350 bytes per triple on disk• 1 billion+ triples per host

TRIPLE


SPARQL

• Executed using the triple index• SPARQL 1.0• Cost-based optimization• Join ordering and algorithms• More in the lightning talks

select * where { ?person :birth-place ?place; :first-name “John”}

SPARQL


Demo



Old Skool

- Quickie Framework- Circa 2006ish- HTML tables -> 1997 style- ‘action’ controller- <query/> state -> from the query string

- No sessions- No CSS- No Javascript- No Adaptive Design- No Facets?


Search


Facets!


Semantics


Just Semantics?


Thank You!