Probabilistic Annotation Framework: Knowledge Assembly at Scale with Semantic and Probabilistic Techniques

This content discusses the development of a probabilistic annotation framework for knowledge assembly at scale using semantic and probabilistic techniques. It also touches upon the Big Mechanism research program aiming to integrate cancer research papers into a big cancer model to frame new hypotheses. The content delves into computational hypotheses and wet lab experiments controlling states of the network involving various molecular components and interactions.

• Probabilistic Annotation
• Knowledge Assembly
• Semantic Techniques
• Cancer Research
• Computational Hypotheses

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1. Pednka k pedmtu: Potaov podpora zen Decision Support System (sou sti, pou it v zen ) P edm t : Po ta ov podpora zen K126 PPR1 Obor : E LS, 2020, K126 EKO P edn ky/cvi en : doc. Ing. P. Dlask, Ph.D. 1

2. Obsah 1. Rekapitulace 2. Re im distan n v uky 3. Teorie pro syst m podpory zen 4. C l lohy 5. P prava dat modelu 6. Sestaven modelu 7. Zkou kov ot zky 8. References 2

3. Distann vuka term ny v semestru zat m z st vaj bloky PPRI z st vaj aktivn je MOODLE a Teams v dob rozvrhu jsem k online v chatu MOODLE, p padn Teams v dob p edn ky prob hne prezentace v Teams opravy lohy PPRI p es MOODLE (koment e) blok BIM p edn ky Dr. Mat jka (Teams) blok BIM cvi en up esn Arch. Bou ka p edn ky PPRI do 26.3. p edn ky BIM do 7.5.2020 z v re n p edn ka Dlask 14.5.2020 3

4. Rekapitulace chyby Odstranit propojen na extern data Uv d t ot zky a odpov di Form tov n aplikace (ergonomie, design aplika n ho rozhran , design webu, design aplikace) Informace mimo zobrazovanou oblast spora m sta aplika n ho zpracov n Form tov n jako pro tisk na A4 Dynamick propojen text a v po t Napojen textov ho pole na bu ku Desatero se nesm poru it Hled n interval a hodnot v histogramu Podm n n form tov n (ExcelTipy) 4

5. DSS Risk Management Tool 5

6. Situan ppady 6

7. Co maj spolen? dost o v r N v t va obchodn ho cestuj c ho Partnersk sezn men N v t va partnerky/partnera S atek Spr va objektu Pl nov n dovolen Zase mi nejede (auto, kolo) Pl nov n v uky, zkou ek (Skoro) v emocn ABS Rann traffic jam N kup letenky N kup na burze Sna me se pou t (vytvo it si) syst m/model pro rozhodnut Na z klad z skan ch informac se sna me rozhodnout 7

8. DSS souasnost Co e sou asn DSS - spr va dokument (Document management) - (archivace, personalizace, vyhled v n , ochrana) - spr va p choz ch dokument - (za azen , zpracov n , archivace) - spr va odchoz ch dokument - (vytvo en , zpracov n , archivace) - zen znalost (Knowledge management) - (dod v n , u v n , vyhled v n znalost ) - zen kooperace (kolaborace) - (SW pro kolaborace, collaborative tools, 4Project VIEWPOINT) 8

9. DSS souasnost Co e sou asn DSS - ERP Enterprise Resource Planning - EPM Enterprise Project Management - CMS Content Management System - ViewPoint 4project - EAM Enterprise Asset Management Co podporuj sou asn DSS - zen projekt - zen podnik - zen zdroj - rozhodov n managementu 9

10. DSS Definition Definition: interactive computer-based system or subsystem intended to help decision makers use communications technologies, data, documents, knowledge and/or models to identify and solve problems, complete decision process tasks, and make decisions. general term for any computer application that enhances a person or group s ability to make decisions. involves designing and studying DSS in their context of use. class of computerized information system that support decision-making activities. 10

11. DSS Description - Passive standard DSS Gathering of information for support of the decision maker. Cannot bring solutions or suggestions. - Active standard DSS Gathering information and creation of the alternatives for the decision maker. - Cooperative standard DSS Allows modification of system solution by user and send back for validation. Iterative process until final (consolidate) decision. Type of supporting system - Information system Electronic Data Processing (EDP) - Management Information System (MIS) - Decision Support System (DSS) 11

12. DSS Application Five more specific DSS: - Communication-driven DSS Groupware, chat, videoconferencing, and web-based bulletin boards global enterprises. - Data-driven DSS scorecards comparing financial (non-financial) measures and 'target' value within a single concise report (Maytag International, Buckman Labs, ) - Document-driven DSS document automation process (Scheller Cosmetics, documentum.com, ) - Knowledge-driven DSS Financial Analysis Support Techniques (US commercial banks, ) - Model-driven DSS model-driven scheduling, simulation and optimization (Standard Bank, ) Source: 12 http://dssresources.com/faq/index.php?action=artikel&id=114

13. Basic attributes of DSS Perspectives of DSS: Information processing Gathering of the information needed for managerial activities Managerial activities Processes toward to final decision Decision problems Final evaluation of the information and definition of the decision 13

14. Benefits of DSS Rychlej e en probl m Efektivn j e en probl m Zv en v konu jednotlivc Usnadn n person ln komunikace Efektivn j zen podniku spora zdroj r zn ch druh 14

15. DSS Examples - Gathering of information for support of the decision maker. Passive standard DSS Cena 80,--K Poruchovost: 0 Cena 539,--K Poruchovost: ?? - Gathering information and creation of the alternatives for the decision maker. Active standard DSS 15

16. Support for decision making - Knowledge of the problems, processes, activities - Understanding of the - Studying of the activities involved in choice process Phases of the DSS 1. Intelligence phase 2. Design phase 3. Choice phase Source: 16 Simon s phase model and levels of articulation, 1960

17. Levels of the decision zen rizik (4 f ze) analogie - Identifikace - Zhodnocen - Zvl dnut (zm rn n dopad ) - Monitoring 17

18. Parts of decision Managerial decision making - decision problems evolve - structure changes study - leads to the redefinition of decisions - DM is a process involving multiple participants, requires conflict resolutions - decision maker has analytic perspective - decision maker has holistic perspective - managers integrate qualitative and quantitative aspects of the problem - decision making does not end with the choice of an alternative - decisions leads to other decisions - making decisions involves the determination of what will happen if decision is selected 18

19. Analysis type in DSS Sensitivity analysis Evaluation of the change of model parameters What-if analysis Evaluation of the impact of the decision Goal-seeking analysis Seeking a right value for decision intensity Scenario creation Comparison of the scenarios with diferent decision 19

20. Zpracovn XLSX + ExcelTipy.xlsm Uk zat: sla psan do textov ho pole napojen textov ho pole na bu ku V vojov diagram Propojen procedury s ovl dac m prvkem Zapojen MsgBox Ovl d n procedury pomoc MsgBox Rozhodovac blok v procedu e 20

21. Literatura Beran, V., Dlask, P. Management udr iteln ho rozvoje region , s del a obc . Praha : Academia, 2005, s. 256. Beran, V. a kol. Dynamick harmonogram. Praha : Academia, 2002, s. 172. Dlask, P., Modelov n p i zen . Praha : Wolters Kluwer, 2011, s. 175. Griffiths, E., What is a model?, 2009. Kersten, G., Decision Support Systems for Sustainable Development, A Resource Book of Methods and Applications, Kluwer Academic Edition, 2002. Griffths, E., What is a model?, e.griffiths@shef.ac.uk http://dssresources.com Simon s phase model and levels of articulation, 1960 Kersten, G.E. and D. Cray (1996), Perspectives on Representation and Analysis of Negotiation: Towards Cognitive Support Systems. Group Decision and Negotiation, 5, 433- 467. Kos, Z., Do kal, M., Rozhodovac procesy v P, Syst my pro podporu rozhodov n (DSS), 2009 Tich , M. Ovl d n rizika, C. H. Beck, 2006 21

22. Zvr Z v r Decision Support System Doc. Ing. P. Dlask, Ph.D. 22