Extracting Value out of Stockpiled Content More Value From Stockpiled...Category A specific division in a classification system (also called topics). Examples: Energy (ETDE-INIS) Biomass

OpenText Confidential. ©2016 All Rights Reserved.

Extracting Value out of Stockpiled Content

Serge Savchenko

VP, Worldwide Portfolio Sales















Striking the Balance


Difficultly locating documents cited as barrier to adoption

Hyperion MarketView Report (March 2016)


Source: Quantifying Enterprise Search, IDC

of knowledge workers

find what they are

looking for 85%

to100% of the time


Frustration?


A study of more than 5,000 office professionals across the US, UK, Germany, France and Australia exposed how antiquated business processes and outdated ways of working with documents are having a dramatic impact on productivity, efficiency and worker satisfaction.

Frustration


Frustration

• professionals feel their success at work are slowed down by outdated ways of working with documents83%

• professionals would change jobs solely for the sake of less paperwork61%

• version control are cited as the most frustrating paper document problems78%


Need for Effective Search

AIIM (2014), Industry Watch: Search & Discovery


Benefits of Improving Search

AIIM (2014), Industry Watch: Search & Discovery



A literate, book-buying

Englishman at the turn of the

seventeen century could live a

lifetime without ever

encountering a set of data

ordered alphabetically.

“

”24


Our Point of View

► Document Management Systems will suffer from low user adoption until they mold to how people prefer to work

► Effective metadata remediation is the lowest hanging fruit for improving DMS usefulness

► Solutions that best address findability will become indispensable in the workplace


According to Mike Kelleher, White House Correspondence Director

Every week:65 000 paper letters500 000 emails5 000 faxes15 000 phone calls

Requires:9 750 person hoursor244 full time employees


How many inquires per day do you contend with?


For a search to be effective,

an investment into organizing content

must be made


Title: Resume

Creator: Dick Loudon

Last Update: George Utley

Create Date: 2008-05-23

Last Modified: 2009-09-13

MIME: WORD

Extension: DOCX

Size: 583 kb

File Path: z:/HR_folder/jsmith/cv

HASH: xhsiuurd123r4

System Metadata

ACCESS METADATA




Effects of Time

Wilted Metadata


Our Point of View





Functionality to facilitate the capture of metadata



Ways to Automate

Remediation of Metadata


Date: Jan 21. 2013

Amount: 332,29 $

Order-Nr: X-44277

Supplier: Mueller & Friends

Address: 130 First Ave

Digitize Images (scanned documents)

ENRICH METADATA


Searching for basic information on the documentDate: Jan 21. 2013Amount: 332,29 $Order-Nr: X-44277Supplier: Mueller & Friends

Invoice

Rule based Adaptive Zonal

Data Extraction


Identification of document typeInvoice

Delivery Note

Order

Others

By content By structure By rule

Document Classification



Coalesce all relevant content

Purchase Orders

ReqNoReqAMT

PROPOSALS

ReqNoRFQNoVendtIDQuoteAMT

CONTRACTS

RFQNoVendIDContractAMTDeliveryDate

VENDORS

VendIDVendNameVendAddress


Use metadata to coalesce all kind of content


Across All Systems

VendID


Content Analytics


Concept: non-disclosure agreement

Concept: confidential information

Persons: Robert Hartley, Jerry Robinson

Places: London, United Kingdom,

Organizations: OpenText Corporation

Categories: Litigation Support

Categories: Software & Computer Services

Categories: Research and Development

Content Analytics

ENRICH METADATA







Structural Metadata

Title

Creator

Description

Publisher

Contributor

Date

Type

Format

Identifier

Semantic Metadata

Concepts

Entities

Categories

Sentiment

Summary

Similarity


Semantic metadata types

concept entity

category tonality

summarysimilarity

OTCA


ConceptA keyword or key phrase found within a text.

Examples:

Keyword firewallbitumenroadmap

Key phrase synthetic crudefinancial statementelectronic security perimeter

Non-hierarchical

Uncontrolled

Noun-based


Controlled vocabulary

(Authority files)

and uncontrolled

(candidates)

EntityA specific instance of a predefined type (also called Named Entity).

Examples:

Organization name (ON) Suncor Energy Inc.World Trade Organization

Person name (PN) Albert EinsteinDavid A. Strong

Geographic location (GL) EdmontonKansasUnited Kingdom

Events (EV) 1971 World Series12th Annual Oil Sands Symposium

Trademarks (TM) Apple iPadToyota Camry


Hierarchical

Controlled vocabulary

(Taxonomy)

CategoryA specific division in a classification system (also called topics).

Examples:

Energy (ETDE-INIS) Biomass fuelsEnergy storageSolar energy

Industries (ICB) Integrated Oil & GasSpecialty ChemicalsPharmaceuticals

Business & Finance Business EthicsCompetitivenessAnnual Reports

News content (IPTC) Arts, culture and entertainmentLifestyle and leisureNational elections


Subjectivity

(Fact vs. Opinion)

Tonality

(Positive vs. Negative

vs. Neutral)

SentimentThe subjectivity and tonality of an item (text, sentence or entity).

Examples:

Fact (neutral) John went to the market.This camera has a flash.The new store opens today.

Opinion (positive) The market is great!I love taking pictures.The store opening was a success.

Opinion (negative) It’s hard to find items at this store.The flash is poor.Opening that day was a bad idea.


Configurable

(% of original text vs.

# of sentences)

SummaryThe most important sentences of a text.

Example:

Original text Obama: No on oil pipeline, more review neededPresident Barack Obama says he's denying an application for a Canada-to-Texas oil pipeline because a GOP-mandated deadline didn't allow time for a full review.Obama says his decision isn't a judgment on the merits of the proposed $7 billion pipeline. Rather, he's citing the "arbitrary nature" of the Feb. 21 deadline that was set by a GOP-written provision in a recent tax bill that Obama signed.The president says in a statement that he's disappointed that Republicans in Congress forced the decision. Obama had until late next month to decide whether the pipeline was in the national interest.Administration officials says the looming deadline cut short the time needed to conduct environmental reviews after the State Department ordered the project developer to find an alternate route to avoid environmentally sensitive areas of Nebraska.The 1,700-mile pipeline would carry oil from tar sands in western Canada to refineries in Texas. It would pass through Montana, South Dakota, Nebraska, Kansas and Oklahoma.

Summary President Barack Obama says he's denying an application for a Canada-to-Texas oil pipeline because a GOP-mandated deadline didn't allow time for a full review. The president says in a statement that he's disappointed that Republicans in Congress forced the decision. Administration officials says the looming deadline cut short the time needed to conduct environmental reviews after the State Department ordered the project developer to find an alternate route to avoid environmentally sensitive areas of Nebraska.


Results are

ranked by

similarity score

SimilarityTextual assets similar to a reference document.

Examples:

Reference document

Document Title: NOTES TO CONSOLIDATED FINANCIAL STATEMENTS

Similar documents

1. NOTES TO CONSOLIDATED FINANCIAL STATEMENTS (continued)

2. NOTES TO CONSOLIDATED FINANCIAL STATEMENTS SecondQuarter

3. NOTES TO CONSOLIDATED FINANCIAL STATEMENTS 20114. Financial Statements 20105. FINANCIAL STATEMENTS 20096. C&D TECHNOLOGIES, INC. AND SUBSIDIARIES NOTES TO

CONSOLIDATED FINANCIAL STATEMENTS7. Tera INC. AND SUBSIDIARIES NOTES TO CONSOLIDATED

FINANCIAL STATEMENTS8. Wells Tech Corp. & Subsidiaries Notes 9. Financial Results – Press release 02-01-201210. Financial Report 2029872


Our Point of View





OpenText

Content Analytics

• Unlocks business

value from stockpiled

content

• applies inferred

metadata on the

content

• dramatically improves

content search

experience


OTCA Functional Use CasesOTCA Feature

Use Cases

Similarity Analysis • Find similar documents for any document • Identify duplicates

Entity Extraction • Mine entities in content• Create one to many associates, enable semantic search

Concept Extraction • Collect concepts from within documents• Enrich metadata, improve search

Categorization • Auto-categorize Content (supervised learning)• Create hierarchies, enable intuitive navigation in Flex Folders

Summarization • Brief document description

Sentiment Analysis • Threat Detection• Customer Mood• Brand Monitoring• Enrich Metadata / Search Filtering / Analytics & Reporting


Serge Savchenko

Vice President

Worldwide Portfolio Sales

Tel: 905-762-6483

Mobile: 647-406-6483

[email protected]

www.opentext.com


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Documents

Extracting Value out of Stockpiled Content More Value From Stockpiled...Category A specific division in a classification system (also called topics). Examples: Energy (ETDE-INIS) Biomass