Global Information into Actionable Knowledge
•
2 likes•710 views
How to turn global textual information into actionable knowledge. Control over content has shifted from enterprises and governments to customers and citizens. This content is big and multilingual. Who ever manages to mine the knowledge in this contents wins. An architecture for processing multilingual data. How to build a Multilingual Knowledge System with Coreon.
Recommended
Recommended
More Related Content
Similar to Global Information into Actionable Knowledge
Similar to Global Information into Actionable Knowledge (20)
Recently uploaded
Recently uploaded (20)
Global Information into Actionable Knowledge
- 1. Jochen Hummel, CEO @JochenHummel @coreonapp Turning Global Textual Information into Actionable Knowledge Brussels Dec 4-5, 2014
- 2. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 2 About Me Founded and exited Founded and passed on Manage Founded and present Chair
- 3. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 3 Language-neutral Digital Single Market Do we really have a language problem? Surely not at this conference. Handout Note:
- 4. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 4 Language Is Important, Isn’t it? Biggest Exporter per Target Country – @BrilliantMaps Exporting requires speaking customers’ languages. But this happens only when products hit customers, often handled by subsidiaries or even distributors. Handout Note:
- 5. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 5 Customers/Citizens Control Content KNOWLEDGE But since Web 2.0 content is increasingly created by customers/citizens. Companies curate. Practical, but results in knowledge being extra-murros. Handout Note:
- 6. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 6 BigBig = UnstructuredBig = Unstructured = TextBig = Unstructured = Text = Multilingual
- 7. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 7 Is Machine Translation the Answer? Machine Translation Text Analytics Attention: MT quality depends on available resources in language and domain. Inaccuracies multiply in the process. 0.8 MT x 0.8 Sentiment Analysis = 0.64 hit rate!
- 8. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 8 Multilingual Knowledge System Processing Multilingual Information Insights & Sense & Sentiment Language Detection NLP/Tokenization ML TextAnalytics Search MT Provenance
- 9. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 9 A Repository for Knowledge 9 08 45 76 35 17 1: Taxonomy: output devices visual output devices screen audio output devices head- phones
- 10. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 10 A Repository for Knowledge and Language 10 3: Multilingualism: Synonymy • screen • monitor • écran • Bildschirm• Monitor • Display 08 45 76 rejected accepted 35 17 2: Synonymy: 1: Taxonomy: 4: Control: 9
- 11. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 11 Meaning Driven Knowledge Processing 11 Synonymy • screen • monitor • écran • Bildschirm• Monitor • Display • visual output device • Optisches Ausgabegerät 08 45 76 rejected accepted 35 17 3: Multilingualism: 2: Synonymy: 1: Taxonomy: 5: Meaning: ~4: Control: 9
- 12. One System, One View, All Languages: Concepts, Relations, Terms 12 Immediate broader / narrower neighborhood Concept meta data Terms and synonyms Extensive term descriptors Location in map Alphabetic, multilingual list
- 13. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 13 Termbases • Control language • Focus on translation • Lack knowledge modelling • Only searching, no exploring Taxonomies • For knowledge structuring • Lack multilingualism • Lack language control Two Parallel Approaches to Inventorise and Leverage Knowledge Huge, unaddressed potential for cross-lingual data analysis, enterprise search, e-discovery, and to facilitate interoperability boost with data add structure … … mirror base Spiegelfuß wing mirror Außenspiegel … … mirror wing mirror left wing mirror …
- 14. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 14 Enterprise Search Social Media Analytics Auto- Classi- fication Inter- operability HR Training Globali- sation Responding to Today‘s Business Challenges
- 15. Dec 5, 2014 Turning Global Textual Information into Actionable Knowledge @JochenHummel 15 Single Digital Market Search and Matching cross-border. Target Markets and Use Cases Global Champions Optimizing global business processes. eGov Interoperability Process information linguistically neutral.
- 16. Manage Enterprise Knowledge Globally Across Languages 16 Jochen Hummel m jochen@coreon.com c +49 172 766 66 33 s jochen.hummel t @jochenhummel l Berlin-Mitte
Editor's Notes
- Because if you are not a programmer you are rather interested in content Especially since Content has become democratized Control over content is shifting from enterprises and governments to customers and citizens. And people create content in their mother tongue.
- Number crunching is done. We have the algorithms and the computing power. Text crunching, however, hasn’t progressed much in the last decades. Text mining tools work only well in English. Machine Translation is not the solution, but will be rather a side product of solving multilingualism.
- Missing Potentials for: ... such as ... researchers, indexers, taxonomists, marketeers, customer support, finance analysts, public officer (e-government), translators, technical writers, etc Termbases store concepts only one by one fail to master large data, unsafe use Taxonomies achieve structure but ignore the pragmatics of terminologies fail to manage multilingual data No structured multilingual resources no crosslingual data analysis nor e-discovery, missed leverage
- Enterprise Search: tune engines to deliver smarter results (search keywords expanding to synonyms, other languages, and more general/more specific). Automatic multi-keyword, hierarchical document classfication and tagging – Suche nach écran findet Dokumente die sich mit „optischem Ausgabegerät“ befassen Interoperability: When two or more concept systems need to come together. EU international institutions where you are having equated players. – annähernd ähnliche Schulabschlüsse für „Realschule“ im Englischen? Social media analytics: Intelligent bag of words to filter tweets, posts etc. Multilingually. – automatische klassifizieren von vielen posts, mehrsprachig – zur Entscheidungsfindung; geht nur multilingual, geht nur mit semantik E-discovery: Mining big text data to discover facts that are not written explicitly. Terminology is the algorithm and engine to cluster and to derive. (türöffner, sprungbrett, hausmeister, brückenbauer, steigbügel, hebel, brückenpfeiler, fundament) Globalisierung: Produktion! - Glob Enterprise Search, Social Media: Magnifying glass, Algorithmus (twitter, facebook) Auto-classification: documents Interoperabilität: Landkarte (map) Mitarbeiterschulung: Wegweiser, Landkarte
- Go to „Master“ view to change address details.