the biggest picture: situational awareness on a global level
TRANSCRIPT
Grab some coffee and enjoy the pre-show banter
before the top of the
hour!
The Briefing Room
The Biggest Picture: Situational Awareness on a Global Level
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Reveal the essential characteristics of enterprise software, good and bad
Provide a forum for detailed analysis of today’s innovative technologies
Give vendors a chance to explain their product to savvy analysts
Allow audience members to pose serious questions... and get answers!
Mission
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Topics
July: SQL INNOVATION
August: REAL-TIME DATA
September: HADOOP 2.0
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It’s All About Context
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Analyst: Robin Bloor
Robin Bloor is Chief Analyst at The Bloor Group
[email protected] @robinbloor
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Modus Operandi
Modus Operandi offers Movia, a big data analysis platform
The platform includes semantic context capabilities that enable rules-based pattern recognition and alerts
Movia uses a combination of rules and ontologies to foster reasoning, inferencing and knowledge representation
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Guest: Mike Gilger
Mike Gilger is Director of Intelligence & Software Solutions at
Modus Operandi
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Perceptions & Questions
Analyst: Robin Bloor
Semantics & Software
Robin Bloor, PhD
Semantics
Semantics: the branch of linguistics and logic concerned with meaning. There are a number of branches and sub-branches of semantics, including formal semantics, which studies the logical aspects of meaning; lexical semantics, which studies word meanings and word relations; and conceptual semantics, which studies the cognitive structure of meaning.
Most Databases Simply Store the Nouns
Name Car
John Doe Porche
Janet Doe Prius
Lewis Hamilton Mercedes
u Database tables store subjects and objects but omit predicates
u Does John Doe “own,” “lease” or “rent,” or has he simply borrowed the Porche?
u Does Lewis Hamilton “drive” or “race” the Mercedes?
u Hence triples….
Hey Jude – As a Graph…
Hey Jude
Na
your heart
your skin
be#er
be#er
made to
beginstart
her
let me down
be afraid
make it bad a sad songand
Meaning (human expression) fits naturally onto a graph.
There are nouns, pronouns, adjectives, verbs, adverbs, articles, prepositions, etc. Also tenses.
They provide both meaning and context.
Semantic Technology
1 Unfamiliarity (it’s obscure because it’s obscure)
2 RDBMS do not store graphs well, and SQL is inadequate for querying graphs
3 No common semantic BI applications; it’s mainly analytics
4 Semantic technology has taken a lifetime to evolve
High Level Summary
u Semantic data expresses important data relationships (predicates and context)
u Semantic data is largely unexplored
u It is ideal for MDM (ontologies are far more complete than metadata repositories)
u In a semantic data environment, there is no “unstructured data,” nor can there be
u Semantic processing is becoming mature…
The Net Net
The ultimate goal is INFERENCING:
Knowledge discovery (rather than pattern discovery)
through semantic processing
u What are the “low hanging fruit” (semantic applications) – in your company’s experience?
u How would you characterize the limitations of a triple store? Is it your view that an RDF database is inadequate or simply limited? What are the compelling differences?
u How would you characterize the “predicate store” as a database? Can it handle SQL?
u Can it handle all types of data?
u How well does it integrate with other technologies?
u What is your current “largest data volume?”
u Which companies/technologies do you compete with directly?
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Upcoming Topics
www.insideanalysis.com
July: SQL INNOVATION
August: REAL-TIME DATA
September: HADOOP 2.0
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THANK YOU for your
ATTENTION!
Some images provided courtesy of Wikimedia Commons and http://boggletondrive.com/2011/11/14/a-matter-of-perspective/