Practical Semantic Applications Master Title for Oil and Gas Asset Reporting. Information Integration David Price, TopQuadrant

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1 Practical Semantic Applications Master Title for Oil and Gas Asset Reporting Life Click Cycle to Data edit Master Management subtitle and style Information Integration David Price, TopQuadrant

2 Key Presentation Themes Have a vision Standards play a key role Semantic technology is a good fit For Life Cycle Data Management and Information Integration Challenges drive innovation

3 HAVE A VISION

4 Over a glass of wine at the reception, Bob, Mary and Pete had a chat

5 Pete : The boss says our customers need that widget app, and they need it now! Better get started first thing Monday morning. Mary : Yes Pete, but don t they have another app in next year s plan?... And won t it have some overlaps? Bob: Good thinking Mary! Wonder what we could do now, to make life easier next year? Mary: And you know Bob, I heard that the customer might want them merged at some point. Let s step back and think for a minute.

6 A conversation like that did happen With names like Thore, Ove, and Nils, they needed apps to answer How d the drilling go yesterday? What was our oil production volume for January? The tax man needs to know. Who should pay what share of pollution and waste cleanup? Where s my cargo container?

7 Who was that? Exploration & Production Information Management

8 What s the Vision? Shared suite of knowledge based-applications Using Semantic technology Using industry-standard domain concepts For the Oil & Gas Industry on the Norwegian Continental Shelf TopQuadrant and others call this a Semantic Ecosystem

9 STANDARDS PLAY A KEY ROLE

10 Two Key Roles For Standards Free your data And give it meaning

11 Free your data? Freed data 1. Standard formats 2. Identified with a worldwide scope 3. Available and scalable from smartphones to cloud servers 4. Easy to merge and link Handcuffed data 1. Vendor proprietary formats 2. App-specific identity, if any 3. Different or non-existent approach per computing device 4. Impossible to merge as-is

12 And give it meaning? Talk about real things not documents or database tables about those things What things are of interest in my world? How are things related? How are things categorized? What characteristics do things have? What are the rules about things? And.. talk about them in ways an app can use

13 But how? Free your data And give it meaning

14 One approach that s working Free your data And give it meaning

15 Using them together W3C to free data and specify meaning Use ISO for analysis of meaning Strong analysis of What there is 4 Dimensionalism (there will be a quiz at the end:-) Everything changes! Whole-Life Things vs. Things-in-Periods-of-Time Make implicit objects into explicit objects, so they can be referenced later Get industry consensus on concepts and definitions all that said, be pragmatic

16 SEMANTIC TECHNOLOGY IS A GOOD FIT

17 W3C Standards Stack RDF lets data be brought together (as graphs) RDF Schema enables simple data modeling OWL enables complex data modeling and logical inferences SPARQL queries over any RDF

18 A Fact About an Interesting Thing

19 An RDF Triple Albuskjell fieldoperator ConocoPhillips Skandinavia AS Free your data

20 Free your data? Freed data 1. Standard formats 2. Identified with a worldwide scope 3. Available and scalable from smartphones to cloud servers 4. Easy to blend and merge Semantic stack 1. W3C RDF 2. URI (i.e. Web page address) and now IRI 3. Turtle text files, wrapped RDBs, native enterprise RDF databases queried via SPARQL 4. Even dirty RDF datasets can be thrown together and queried

21 Add OWL semantics type fieldoperator Albuskjell ConocoPhillips Skandinavia AS Field subclassof type ObjectProperty Company Organization type And give it meaning!

22 Then add to handle change NPD Fact is Whole-Life Field whole Field on a day is a partof whole-life Field part on Daily report is about what happens on partofafield Report

23 SPARQL A standard way to access RDF data SELECT, ASK, CONSTRUCT, DELETE Infrastructure is HTTP and Internet which is everywhere Can query data across servers and locally at the same time

24 SPIN SPARQL Inference Notation, a W3C Member Submission SPARQL on steroids for a model-driven development environment Rules : inference, transforms Constraints : data validation, access control Templates and Functions: reusable, parameterized modules of SPIN/SPARQL and language extensions RDF Model of SPARQL : SPARQL itself is stored with the data as triples

25 CHALLENGES DRIVE INNOVATION

26 Today, we ll talk about three apps EPIM EnvironmentHub Computas & TopQuadrant Operational now for 2013 yearly reports EPIM ReportingHub TopQuadrant, Franz & CGI Operational in 2012 EPIM LogisticsHub Computas, TopQuadrant, & Oracle Pilot May 2014

27 Three very different apps ERH EEH ELH Daily and Monthly reporting Simple user interface, large file upload and simple report requirements Enterprise database, replication, Franz Allegrograph native RDF database Yearly reporting Complex user interface, large file upload and complex report requirements RDF SDB wrapped MySQL as the RDF database Event per second No real user interface, tiny files from RFID readers REST API, queues, Oracle as RDF database for hardware-based performance

28 From ReportingHub Challenge W3C Semantic Web stack meets ISO High availability, high performance SaaS contract Java developers cannot become experts Innovation Inside native OWL implementation approach Data pipeline framework so semantics experts do semantic development tasks XML Schema + XML data appear as RDF triples

29 It s turtle all the way down, literally Report or Event Processing Response, Report CSV XML Semantic Tables Model Proxy Ontology of XSD Business Rule Data Validation & Transform Rules (SPIN/ SPARQL) Reported Data NPD Facts Inside Output Templates, Query, & Services and APIs (SPIN/SPAR QL) CSV XML HTML JSON W3C RDF/OWL + SPIN/SPARQL means everything is RDF triples

30 From EnvironmentHub Challenge : model of data is complex Users need simple interfaces User interface designer should see a spreadsheet model, not Innovation Hide complexity with implified interface model and capability to map to and from integration model on-the-fly

31 1) Select workflow task (e.g. Reporting, Edit) 2) Select item for report : Field, Facility, Wellbore 3) Edit data values (next page) 1 2 Computas did the user interface

32 3) Edit data values e.g. Injected Radioactivity (Bq) 3

33 User Interface Client API and SPARQL Read & Write SPIN/SPARQL Mapping Interface Data Model On-the-fly Mapping RDF Database Inside Integration Data Model

34 From LogisticsHub Challenge : High throughput transactions via REST API ISO inside RDF database Innovation REST API wraps SPARQL Motion data pipeline scripts that implement Web services Add messaging queue to Semantic server

35 Rest API Rest Server JMS Queue SPARQLMotion Service SPIN Transforms RDF Database Inside Integration Data Model

36 IN CONCLUSION

37 Remember these themes? Have a vision Standards play a key role Semantic technology is a good fit For Life Cycle Data Management and Information Integration Challenges drive innovation

38 Benefits of EPIM Vision Single, integrated, semantic sources of data for each industry domain As Semantic Web technology improves, solutions improve and EPIM s customers benefit Well-positioned for future integrations Internet of Things Public open linked data Approach imposes no limit on future scope

39 Benefits of Solution Approach Flexible and extensible will be around for decades Model-centric, model-driven approach means domain experts actually build semantic components of the system Semantic technology is Enterprise-ready today, but innovation continues as new challenges appear

40 Practical was in title of talk Message : is already difficult, needs to be made simpler to define and implement. In 2014 that means Full ontologies, not only reference data being feed back into community through Part 12 initiative Follow industry best practices, not specific practices (e.g. template signature patterns) Enable inside, and that can provide clean support for exchange and services use cases

41 And finally the promised quiz on 4- dimensionalism Do 4-dimensional objects perdure or endure? Perdure is the right answer congrats to those who got it right, and to those who didn t many thanks for enduring my talk!

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