(Enterprise) Search

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(Enterprise) Search by Mind Map: (Enterprise) Search

1. Search/Information retrieval In de tijd

1.1. Verleden

1.1.1. MainFrames

1.1.2. Infomatiespecialisten

1.1.3. Think before you search

1.2. Heden

1.2.1. Snelheid

1.2.2. Web Search

1.2.3. Enterprise Search

1.2.4. Knowledge Graph

1.2.4.1. Entity centric

1.2.5. Wolfram Alpha

1.3. Toekomst

1.3.1. Info App

1.3.2. Google Now

1.3.2.1. Examples

1.3.3. Siri

1.3.4. Cortana

1.3.4.1. Examples

1.3.5. Semantic search

1.3.5.1. Examples

1.3.5.1.1. Vurb

1.3.5.2. more semantic understanding of both content and queries

1.3.6. Labs

1.3.6.1. Google NGram

1.3.7. Contextual

1.3.7.1. "The move toward computing that reads your mind"

1.3.7.1.1. NLP and context

1.3.7.2. Search will become more implicit

1.3.8. Conversational

2. Aandachtsgebieden

2.1. Gebruikers

2.1.1. Search Strategies

2.1.1.1. I Know what I Know

2.1.1.1.1. "I know what I am looking for. Find it for me"

2.1.1.2. I Know what I don't know

2.1.1.2.1. "I know the parameters of what I am looking for. Help me focus on the right set of content/items"

2.1.1.2.2. Help me find content on this topic so I can learn more or see what is available

2.1.1.3. I don't know what I know

2.1.1.4. I don't know what I don't know

2.1.1.4.1. Serendipity

2.1.1.4.2. Relations

2.1.2. Context

2.1.2.1. Content

2.1.2.2. Query

2.1.2.3. User

2.1.2.4. Setting

2.1.2.4.1. Season

2.1.2.4.2. News

2.1.2.4.3. Events

2.1.3. User interface

2.1.3.1. Dialoog: Vraag duidelijk krijgen

2.1.3.1.1. Filters

2.1.3.1.2. Search suggestions

2.1.3.1.3. Related queries/persons

2.1.3.1.4. Clustering (concepts)

2.1.3.1.5. Automatic query guidance

2.1.3.2. Voorbeeld: supermarkt

2.1.3.3. Feedback Meten is weten!!!

2.2. Business

2.3. Content

2.3.1. Type

2.3.2. Clean, clean, clean

2.3.3. Quality

2.3.3.1. Metadata

2.3.3.2. SEO

2.3.4. Access

2.3.5. Security

2.4. Technologie

2.4.1. "Right fit"

2.4.2. Automatic tagging

2.5. Organisatie

2.5.1. Business owner

2.5.2. SCOE

2.5.2.1. Kennis van processen en informatiebehoefte

2.5.2.2. Kennis van search technologie

2.5.2.3. Functioneel beheer

2.5.2.3.1. Analyse search logs

2.5.2.4. Technisch beheer

2.5.3. Governance

2.5.4. ??wat is nou specifiek voor Search

3. Business cases

3.1. Verhogen conversie

3.1.1. E-commerce

3.2. Legal/Compliance

3.3. Kostenverlaging

3.3.1. Enterprise search

3.4. Verlagen Time-to-market

3.4.1. R&D

3.4.1.1. Kennisbank

3.5. Verhogen klanttevredenheid

3.5.1. Customer support

3.5.2. Site search

3.6. Collaboration

3.6.1. Social search

3.7. Competitive Exellence

3.7.1. Social media monitoring

3.8. Verbeteren imago

3.8.1. Site Search

3.9. Verlagen inwerktijd nieuwe medewerkers

3.10. Database offloading

4. Verschijningsvormen

4.1. Web-/internetsearch

4.1.1. Google

4.1.2. Bing

4.1.3. Yahoo

4.2. Sitesearch

4.3. E-commerce search

4.3.1. Amazon

4.3.2. Bol

4.4. Intranetsearch

4.5. Enterprise Search

4.6. Search Based Applications

4.7. E-Discovery

4.8. Marketing/customer intelligence

4.9. NoSQL

4.10. BI/Visualization

5. Search Producten/vendors

5.1. General purpose

5.1.1. Large

5.1.1.1. Oracle/Endeca

5.1.1.2. IBM Vivisimo

5.1.1.3. Coveo

5.1.1.4. Google

5.1.2. Medium

5.1.2.1. LucidWorks

5.1.2.1.1. Solr

5.1.2.2. MarkLogic

5.1.2.3. Perceptive

5.1.2.3.1. ISYS

5.1.3. Small

5.1.3.1. ConceptSearch

5.1.3.2. Elasticsearch

5.1.3.2.1. Lucene

5.1.3.3. MaxxCat

5.1.3.4. SearchBlox

5.2. Niche/industry specifiek

5.2.1. ZyLab

5.2.2. Recommind

5.2.3. Attivio

5.2.4. ...

5.3. Nederlands

5.3.1. C-Content

5.3.2. Indica

5.3.3. ...

5.4. "Suite"

5.4.1. HP/Autonomy

5.4.1.1. IDOL On Demand

5.4.2. Exalead

5.5. "Build in"

5.5.1. Microsoft

5.5.1.1. FAST

5.5.2. OpenText

5.5.2.1. Own breed

5.5.3. Documentum

5.5.4. Sitecore

5.5.4.1. Coveo

5.5.5. Corsa

5.5.5.1. Solr

5.5.6. Greenvally

5.5.6.1. Solr

5.5.7. ... (any DMW/CMS)

6. Theorie

6.1. Information retrieval

6.1.1. Precision & Recall

6.1.1.1. TREC

6.1.2. Relevantie

6.1.2.1. TF/IDF

6.1.2.2. ???

6.2. Probalistic / Statistic

6.2.1. "bag of words"

6.2.1.1. "cat" finds "cat"

6.2.2. Conceptual

6.2.2.1. "cat" finds "feline"

6.3. Textmining

6.3.1. Sentimentanalyse

6.3.2. Classificatie

6.3.3. Clustering

6.3.4. Entiteitsherkenning

6.3.5. Summarization

6.4. Keyword search

6.5. Natural language processing

6.5.1. IBM's Watson

6.6. Semantiek

6.6.1. RDF

6.6.1.1. Entity - relationship - entity

6.6.2. SPARQL

6.7. Serendipity

6.8. Visualization

6.9. Machine learning

6.10. Boeken

6.10.1. Search Patterns

6.10.2. Search User Interfaces

6.10.3. Ambient Findability

6.10.4. Making Search Work

6.10.5. Enterprise Search

6.10.6. Designing the search experience

6.10.7. The answer machine

6.11. Artikelen

6.11.1. ...

6.11.2. @@nog verzamelen

6.11.3. The Anatomy of a search solution

7. Licentiemodel

7.1. Closed source

7.1.1. Per server

7.1.2. CPU

7.1.3. Documents

7.2. Open source

7.2.1. Apache

7.2.2. GNU

7.2.3. Subscription

8. Big Data

8.1. Big content

8.2. Enabler

8.3. Hadoop

8.4. Internet of things

9. Consumerisation

9.1. "Why doesn't it work like Google?"

9.1.1. Websearch vs. Enterprise

10. Research/Surveys

10.1. Findwise Enterprise Search & Findability

10.2. Gartner Magic Quadrant for Enterprise Search

10.3. IDC

11. Implementatie (E)S

11.1. Unified information Access

11.1.1. Eén index of Federatie

11.2. Vision, Think Big, Act Small, Scale Fast

11.2.1. Value Map

11.2.2. Info App

11.3. Stakeholders

11.3.1. Business Sponsor

11.3.2. Users (small group)

11.3.3. Search experts

11.3.4. ...

11.4. Best practices

11.4.1. Waar gaat het mis?

11.4.1.1. "De search engine lost het wel op"

11.4.1.1.1. Search lost slechte navigatie op

11.4.1.2. Geen "tijd" om de search logs te bekijken

11.4.1.3. Geen interactie tussen beheerder zoekoplossing en contenteigenaren

11.4.1.3.1. Contenteigenaren houden zich niet bezig met findability

11.4.1.4. Search is een IT "feestje"

11.4.1.5. Niet-gebruikers denken voor gebruikers

11.4.1.6. Big Design up front

11.4.1.6.1. No Agility

11.4.2. Waar gaat het goed?

11.4.2.1. "Bijna nergens"

11.4.2.2. AZG

11.4.2.2.1. Focus op structuur (militaristisch)

11.4.2.3. Voogd&Voogd

11.4.2.3.1. Specifiek doel en gebruikersgroep

11.4.2.4. ProvNB

11.4.2.4.1. Visie

11.4.2.5. Begin klein

11.4.2.5.1. Minimale complexiteit, maximaal effect

12. Architectuur/componenten

12.1. Vergaren

12.1.1. Connectoren/feeds

12.2. Opslaan

12.3. Verrijken content

12.3.1. Verrijking/classificatie

12.3.1.1. ConceptSearching

12.3.1.2. Carp/TM7

12.4. Indexeren

12.4.1. Security (Early binding)

12.5. Expanderen zoekopdracht

12.5.1. Clustering

12.5.1.1. Clusty

12.5.1.2. Carrot

12.5.2. Security (Late binding)

12.6. User Interface

12.6.1. Visualizaton

13. Voorbeelden/toepassingen

13.1. KBenP

13.1.1. MijnHoreca

13.1.2. ING Search

13.1.3. ING.com

13.1.4. Gasterra

13.1.5. ING DFSE

13.1.6. Graydon

13.1.7. Voog&Voogd

13.2. Other

14. Inspiratie

14.1. Total recall

14.1.1. Log anything

14.2. Uitspraken

14.2.1. Search engines are the cyberspace receptionists

14.2.2. The fire of progress is lit by inspiration, Fuelled by information , And sustained by hope and hard work (Martin White)

14.2.3. It requires a change in thinking from data models to consumption paradigms.

14.2.4. It requires a change in thinking from data models to consumption paradigms.

14.3. Films

14.3.1. Minority Report

14.3.2. a space odyssey

14.3.3. Jeopardy

14.3.4. The Hitchhikers guide to the galaxy

14.3.5. Iron man

14.4. Fun

14.4.1. StarTrek Apple patents violation

15. Zoekmachineselectie

15.1. No features but cases

15.2. Ask demo with own content

16. Begrippen/invalshoeken

16.1. De Theorie (Information retrieval)

16.2. De actie "zoeken"

16.2.1. Zoeken is geen doel

16.3. De Technologie (producten en tooling)