Designing an Enterprise Platform for Technical Content 成功地设计技术内容企业级平台的要素

Email: Brian.Buehling@daksys.com www.daksys.com

Wechat: brianbuehlingLinkedIn: http://www.linkedin.com/in/buehling

● Founded in 1999 to support the growing need for technical publication integration services

● Headquartered in Chicago, USA serving customers in North America, Europe, Middle East and Asia

● Partnered with technical communication software providers

● Added information architecture training services in 2004

● Added production support and hosting in 2010

● Introduced Dakota Content Platform in 2012daksys.com

Hundreds of Enterprise Implementations

37% International Implementations

structured writing guidelines

DITATRAINING.com

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Presentation Agenda• Provide a definition for Enterprise

Platforms for Content Delivery

• Provide an overview of the architecture of these platforms

• Discuss next generation trends

Made in China -> Created in China

Innovation Driven Assembly Process

Innovation Driven Automation Process

Enterprise Content Platform Architecture

“A system that enforces structured writing guidelines using XML, so that information can be reused across

different formats and document outputs.”

CCMS Definition - 2010

Total Product Experience

“A system that enforces content rules, so that information can be distributed in different contexts to

content applications.”

Enterprise Content Platform Definition - 2018

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Key Success Factor: DesignWeb based Content Editing with Great UX

Fast Content Rendering for On Demand Distribution

Custom Rendering for On Demand Distribution

Topic, Profile and Content Reference Reuse

Content API for Distribution to Apps

Content API for Integration to other Systems

ML for Classification and Reuse

Evolution of Content Management Systems

Goals:Content Reusable Content Component Instead of DocumentsStreamline and Review Workflow TasksBuild a Central Repository for All ContentManage Interim as Well as Final Version of Content

ContentManagement

Goals:Expand System to Publish Custom Versions of Content for Different AudiencesEnable System to Publish to Multiple Formats (HTML, PDF simultaneously)Integrate System with XML Content Model

Custom Publishing

Dynamic ContentAssembly

Goals:Allow Users to Build Custom Version of Topics

Extend UI for Search, Preview and Publishing

Automated Formatting

Goals:Real Time Web UpdatesAutomate Formatting Processing Through Plugins, Macros and Scripts Utilize Existing Software and Skill SetsOptimize Design for Aesthetics and Usability

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LEVEL 1: DOCUMENT DELIVERYDynamic Content Assembly

Metadata tags from the Content Classification screen.

LEVEL 2: TOPIC DELIVERY

Faceted Search

Dynamic Outputs

Metadata Indexing

REST API

Web Based Editing

LEVEL 3: ANSWER DELIVERY

Use ML processing to classify input search queries and link to common answers.

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Level 3: Answer Delivery

What size bushings are required for model P23342?

Is TYH2334 still under warranty?

How do I replace the connect pins for TM2343?

Where do I get replacement parts for my sink?

What does error code 23523 mean?

What replacement parts are in stock?

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DCP Enterprise Search: TypesFactoid: return exact model specifications

Yes/No: return answer based on model specifications

Action: return confirmation after ordering part

Action: return issue after creating trouble ticket

Factoid: return support contact information

Location: return interactive map

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DCP Enterprise Search: TypesDescriptive: return specific topic

Definition: return specific topic

Procedural - How To: return topic, video or image

Procedural - Troubleshooting: return specific topic

Default Intent: return Retrieve and Rank API results

1) Question is entered in the UI

2) NLC API captures Intent

3) Entity and Keyword extraction API's capture Intent parameters

4) DCP Reasoning Pipeline is launched based on Intent and Entity parameters

DCP Enterprise Search: Reasoning Pipeline

Entity Extraction

NLC

Retrieve and Rank

● Create Interactive User Manual as Dashboard Application

● Request for Text to Speech and Speech to Text API’s

● Questions about Powered by Watson branding

Scenario 1: Automotive

● Create Mobile App that interfaces with Maintenance Guides

● Request for Visual Recognition API to determine Intent Parameters

● Corpus currently in PDF’s

Scenario 2: Manufacturing

Augmented Reality (AR) Interface to CCMS

● Role to Improve DCP search UX

● Request for Dialog API to determine Intent Parameters

● Corpus currently in DCP

Scenario 3: Health Care

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Formulate questions without users to identify information need based:

Location

Email and Messaging Text

Images

Error Codes

Transactions

Time

Level 4: Insight Delivery

“Everyone needs support from those who have done it before”

Email: Brian.Buehling@daksys.com www.daksys.com

Wechat: brianbuehlingLinkedIn: http://www.linkedin.com/in/buehling