Transcript
Page 1: Impact of semantic technologies on scholarly publishing
Page 2: Impact of semantic technologies on scholarly publishing

“The  future  is  already  here.  It’s  just  not  very  evenly  distributed.”

William  Gibson

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New Directions for

Scholarly publishing

Mills davis, Project10X

[email protected]

202-667-6400

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4Source: Project10X

CloudWeb scalecomputing &connected information

Next InternetConnected intelligences

Mobile InternetInternet of things,

places & ubiquitouscommunication

Social WebConnected people

Machine learning,Linked dataspaces

Autonomic processes,agent computing

Knowledgespaces& reasoning at

web scale

Semantic content &rich media

Pervasiveadaptivity

Personalization,context-aware svcs,

augmented reality& intelligent UI

Semantic collaboration& social computing

Everything asa service (XaaS)

SemanticTechnology

Connected meanings

2020

2010

TECHNOLOGY direction

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• Semantic technologies provide tools and methods that

represent meanings and knowledge separately from

documents, data, and program code and then compute directly

with this knowledge.

• Semantic models drive every aspect of the application including

its processes, decision-making, data, system interfaces, and

user experience.

• Also, direct-execution models power every stage of the

solution life cycle — from development to operations, and

through ongoing changes and evolution of new capabilities.

semantic technology

A paradigm shift from information-centric to

knowledge-centric patterns of computing.

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Super smart solutions

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direction for Scholarly publishing

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+ + +ANALOG

ARTIFACTS

DIGITAL

DOCUMENTS

SEMANTIC

METADATA

KNOWLEDGE

SERVICES

• Print-centric

• Fixed cycle

• xml & PDF

• DBMS & CMS

• search keywords,

navigate facets

• fixed indices and

metadata

• local curation

• multi-sources multi-

formats (Documents,

data, methods,

prezos, social media)

• Search Concepts &

relationships

• semantic (linked)

metadata

• Community curation

• knowledge-centric

process (vs. docs)

• Model source

knowledge

• compute with

knowledge

• Content generated

from knowledge

models

• Contextualized

communications

• smart assistants

• NL understanding

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Case examples

NREL USAMRMC Newco

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• processes that are goal oriented, knowledge-

centric, semantic, and direct-execution model-driven.  

• communications that are process, role, and

event contextualized

• communications generated from knowledge models

that transcend copyright

• knowledge-as-a-service supporting e-Research

• smart user assistants

Summary of new directions

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Mills Davis

• Mills Davis is founder and principal of Project10X.

• Mr. Davis advises clients about emerging

technologies, innovation strategy, and advanced

applications.

• he conducts industry research and is author of

more than 50 reports, whitepapers, articles, and

industry studies, including the groundbreaking

Semantic Wave Report.

• Mr. DAvis consults with Be Informed America, the

market leader in semantic business applications.

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