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