Satya Nadella is the Chief Executive Officer of Microsoft and has been certified as a Microsoft Certified Professional. The document provides details on Ahmad Hassan who has also successfully completed the requirements to be recognized as a Microsoft Certified Professional, achieving this certification on April 16, 2012 with a certification number of E919-4547.
Learn how to engage your board of directors in fundraising from this January 28, 2015 presentation to United Way NCA partners by Lewis Flax of Flax Associates.
Eva Ackerman is seeking a tutoring position that utilizes her passion for language and learning. She has 12 years of experience in bilingual roles developing educational programs, managing restaurants and cafes, translating documents, and teaching Spanish and ESL. She holds a Bachelor's degree in Spanish and Latin American Studies from Mills College.
During the next few decades, there will be two moves of the Holy Spirit across churches. The first will restore baptism and spiritual gifts in churches open to receive it. The second will result in people leaving historic churches to plant new churches. While these moves will seem significant, the document says they are steps toward a greater revival marked by a coming together of those emphasizing the word and those emphasizing the spirit, eclipsing any revivals witnessed before.
Dokumen tersebut merangkum hasil observasi mahasiswa terhadap proses spooring di bengkel Otoclinic. Ringkasannya adalah mahasiswa melakukan observasi proses spooring pada mobil Avanza, meliputi langkah-langkah pengukuran sudut camber, caster, dan toe menggunakan alat sensor dan komputer serta penyetelan sudut toe menggunakan baut tie rod.
This document introduces a product management software called ProdPad that aims to improve on spreadsheets. It summarizes that spreadsheets are where ideas go to die because they are complicated, siloed, and opaque. This causes sales, development, and support to be uncoordinated and work on poorly defined specs. The document then outlines how ProdPad helps by having everyone write down goals and share them, organize ideas into themes and priorities, capture new ideas that can be voted on, and send clear requirements and use cases to development. This gives a better way to manage products by having everyone involved in planning and decisions.
Enfoque para el abordaje de la pol鱈tica de salud en la gesti坦n Municipal.PAGGMunicipal
油
Ponente: Julio Castro, Profesor de la Facultad de Medicina de la UCV; especialista en gesti坦n de salud municipal.
El 鱈ndice de Bienestar Humano Municipal, como una Herramienta para la Goberna...PAGGMunicipal
油
El documento describe el ndice de Bienestar Humano del municipio de San Diego y su evoluci坦n entre 2010-2015. El 鱈ndice mide las condiciones estructurales de pobreza a trav辿s de necesidades b叩sicas insatisfechas como acceso a agua potable, eliminaci坦n de excretas, escolaridad y movilidad urbana. El 鱈ndice de San Diego ha mejorado levemente entre 2010 y 2015, ubic叩ndose entre 0.8-0.906. Tambi辿n presenta los valores del 鱈ndice por sectores del municipio.
El enfoque laboral en la gesti坦n municipalPAGGMunicipal
油
El documento discute las profundas crisis sociales y altos 鱈ndices de pobreza en Venezuela, proponiendo que s坦lo pueden abordarse mediante el di叩logo social entre todos los niveles de gobierno, empresas, universidades y otros grupos. Se enfoca en los hogares pobres y propone pol鱈ticas municipales para facilitar la transici坦n de la informalidad al empleo formal y el desarrollo de microempresas a nivel local.
Daniel Gootner was born in Boca Raton, Florida in 1987. Both his parents are musicians, and he would see his father picking the dulcimer and his mother playing piano on a nightly basis.
La Web 2.0 permite una revoluci坦n pedag坦gica donde el conocimiento se construye de forma colectiva y horizontal en lugar de jer叩rquica. Ofrece la posibilidad de crear contenidos interactivos que permitan la reflexi坦n y participaci坦n, procesos educativos donde los estudiantes accedan a informaci坦n para llegar a sus propias conclusiones de forma aut坦noma, y trabajo colaborativo a trav辿s de redes que construyan conocimiento de manera colectiva.
introduction to contemporary pragmatics in Italian
short history (Morris, Carnap, Reichenbach, Kaplan)
arguments for contextualism
arguments against contextualism
two paradigms on the idea of proposition
The document discusses different approaches for managing continuous data streams and flows of various sizes and speeds. It describes four types of streams: myriads of tiny flows that can be collected; continuous massive flows that cannot be stopped; continuous numerous flows that can turn into a torrent; and myriads of continuous flows of any size and speed that form an immense delta. It then outlines how each stream type can be managed using different data systems, including data stream management systems, time-series databases, event-based systems, and event-driven architectures.
Stream reasoning is an approach that blends artificial intelligence and stream processing to make sense of multiple, heterogeneous data streams in real-time. It allows querying and reasoning over data streams using ontologies to represent streaming data. Deductive stream reasoning uses rules and ontologies while inductive stream reasoning uses machine learning to continuously learn from streaming data and adapt to concept drift. Stream reasoning has been studied in over 1000 scientific papers in the last 12 years and shows promise in addressing the challenges of volume, velocity, variety and veracity in big streaming data.
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
HiPPO and Flipism are no longer the only way to take decisions. In the Big Data / Data Science era one can dream of data-driven organization. If the data were "oil", Big Data technologies extract, transport, and store it, while Data Science methods provide the a way to "refine the crude oil". This presentation elaborates on the Ws (What, Why, When, Who and How) of Big Data and Data Science.
This document introduces a product management software called ProdPad that aims to improve on spreadsheets. It summarizes that spreadsheets are where ideas go to die because they are complicated, siloed, and opaque. This causes sales, development, and support to be uncoordinated and work on poorly defined specs. The document then outlines how ProdPad helps by having everyone write down goals and share them, organize ideas into themes and priorities, capture new ideas that can be voted on, and send clear requirements and use cases to development. This gives a better way to manage products by having everyone involved in planning and decisions.
Enfoque para el abordaje de la pol鱈tica de salud en la gesti坦n Municipal.PAGGMunicipal
油
Ponente: Julio Castro, Profesor de la Facultad de Medicina de la UCV; especialista en gesti坦n de salud municipal.
El 鱈ndice de Bienestar Humano Municipal, como una Herramienta para la Goberna...PAGGMunicipal
油
El documento describe el ndice de Bienestar Humano del municipio de San Diego y su evoluci坦n entre 2010-2015. El 鱈ndice mide las condiciones estructurales de pobreza a trav辿s de necesidades b叩sicas insatisfechas como acceso a agua potable, eliminaci坦n de excretas, escolaridad y movilidad urbana. El 鱈ndice de San Diego ha mejorado levemente entre 2010 y 2015, ubic叩ndose entre 0.8-0.906. Tambi辿n presenta los valores del 鱈ndice por sectores del municipio.
El enfoque laboral en la gesti坦n municipalPAGGMunicipal
油
El documento discute las profundas crisis sociales y altos 鱈ndices de pobreza en Venezuela, proponiendo que s坦lo pueden abordarse mediante el di叩logo social entre todos los niveles de gobierno, empresas, universidades y otros grupos. Se enfoca en los hogares pobres y propone pol鱈ticas municipales para facilitar la transici坦n de la informalidad al empleo formal y el desarrollo de microempresas a nivel local.
Daniel Gootner was born in Boca Raton, Florida in 1987. Both his parents are musicians, and he would see his father picking the dulcimer and his mother playing piano on a nightly basis.
La Web 2.0 permite una revoluci坦n pedag坦gica donde el conocimiento se construye de forma colectiva y horizontal en lugar de jer叩rquica. Ofrece la posibilidad de crear contenidos interactivos que permitan la reflexi坦n y participaci坦n, procesos educativos donde los estudiantes accedan a informaci坦n para llegar a sus propias conclusiones de forma aut坦noma, y trabajo colaborativo a trav辿s de redes que construyan conocimiento de manera colectiva.
introduction to contemporary pragmatics in Italian
short history (Morris, Carnap, Reichenbach, Kaplan)
arguments for contextualism
arguments against contextualism
two paradigms on the idea of proposition
The document discusses different approaches for managing continuous data streams and flows of various sizes and speeds. It describes four types of streams: myriads of tiny flows that can be collected; continuous massive flows that cannot be stopped; continuous numerous flows that can turn into a torrent; and myriads of continuous flows of any size and speed that form an immense delta. It then outlines how each stream type can be managed using different data systems, including data stream management systems, time-series databases, event-based systems, and event-driven architectures.
Stream reasoning is an approach that blends artificial intelligence and stream processing to make sense of multiple, heterogeneous data streams in real-time. It allows querying and reasoning over data streams using ontologies to represent streaming data. Deductive stream reasoning uses rules and ontologies while inductive stream reasoning uses machine learning to continuously learn from streaming data and adapt to concept drift. Stream reasoning has been studied in over 1000 scientific papers in the last 12 years and shows promise in addressing the challenges of volume, velocity, variety and veracity in big streaming data.
While the state of the art in Machine Learning offers practitioners effective tecniques to deal with static data sets, there are only accademic results tailored to data streams. In this presentation for the 4th Stream Reasoning workshop, I report on an effort of Alessio Bernardo (a student of mines) to set up a benchmark enviroment to (i) repeat academic results, (ii) perform studies on real data for confirming the academic results, and (iii) study the research problem of "incremental rebalancing learning on evolving data streams".
HiPPO and Flipism are no longer the only way to take decisions. In the Big Data / Data Science era one can dream of data-driven organization. If the data were "oil", Big Data technologies extract, transport, and store it, while Data Science methods provide the a way to "refine the crude oil". This presentation elaborates on the Ws (What, Why, When, Who and How) of Big Data and Data Science.
From the semantic interoperability problem to Google's knowledge graph passing from the Semantic Web, Linked Data, Yahoo! search monkey, Facebook Open Graph, and schema.org.
La Citt dei Balocchi, con le sue luci, 竪 un evento chiave nel panorama dell'offerta turistica Natalizia Lombarda. La presentazione riporta i risultati di un'analisi di chi 竪 venuto e quando.
Realizzato da Fluxedo srl e Olivetti spa per il Consorzio Como Turistica, con la collaborazione di Politecnico di Milano, TIM e Comune di Como, nel contesto del progetto CrowdInsights finanziato da EIT Digital.
Stream Reasoning: a summary of ten years of research and a vision for the nex...Emanuele Della Valle
油
Stream reasoning studies the application of inference techniques to data characterised by being highly dynamic. It can find application in several settings, from Smart Cities to Industry 4.0, from Internet of Things to Social Media analytics. This year stream reasoning turns ten, and this talk analyses its growth. In the first part, it traces the main results obtained so far, by presenting the most prominent studies. It starts by an overview of the most relevant studies developed in the context of semantic web, and then it extends the analysis to include contributions from adjacent areas, such as database and artificial intelligence. Looking at the past is useful to prepare for the future: the second part presents a set of open challenges and issues that stream reasoning will face in the next future.
ACQUA: Approximate Continuous Query Answering over Streams and Dynamic Linked...Emanuele Della Valle
油
Emanuele Della Valle presented ACQUA, an approach for approximately continuously answering SPARQL queries over streams and dynamic linked data sets. ACQUA uses a stream processing engine that registers queries once and continuously executes them. It handles queries with windows and service clauses by joining stream data with linked data using local replicas that are approximated and maintained under update budget constraints. Experimental results showed that different update policies in ACQUA perform best under different conditions depending on query selectivity. Future work may expand the types of supported queries and study different data trends.
Stream reasoning: an approach to tame the velocity and variety dimensions of ...Emanuele Della Valle
油
Big Data tech can tame volume and velocity. Taming Variety in presence of volume and velocity is the real challenge. Ive been working on taming variety and velocity simultaneously (Stream Reasoning) for 10 years, now. In this talk, I give you some examples of application domains where this is necessary. I explain where the Stream Reasoning community went so far in theory, applications and products. In particular I focus on my applications and my startup Fluxedo, which is offering real-time social media analytics across social networks. I conclude the talk discussing what comes next: 1) the need to focus on languages and abstractions able to easily capture user needs; 2) the need to find the sweet-spot between scalability and expressive semantics; 3) the need to used semantics to model more than the data access; and 4) the need to get over imperfect data. If you are exited, I did my job for today!
Every body talks about Big Data, but why? Do it create value? Do it enable some paradigmatic shifts in the way we work with data? This talk I did at ComoNext research and technological park cast some light on those questions.
Listening to the pulse of our cities with Stream Reasoning (and few more tech...Emanuele Della Valle
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The document describes a system called CitySensing that analyzes social media and call data records to detect patterns and anomalies during large city-scale events like Milan Design Week. It continuously monitors these data streams, identifies anomalous levels of activity in different city neighborhoods, extracts relevant hashtags and entities from social media posts, and visualizes the insights for event managers and the public. The system uses stream reasoning to handle the high velocity and variety of the fused data sources in real-time. It was evaluated during Milan Design Week to understand crowd dynamics and activity across the city.
The forth lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to RDF. It starts presenting the data model. Then it presents the turtle serialization. It compares XML vs. RDF. Finally, it provides few informations about RDFa and Linked Data.
The third lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It presents an introduction to the Semantic Web taking a brief walk through in this 15 years of research, standardisation and industrial uptake.
The second lecture of the course I'm giving on "Interoperability and Semantic Technologies" at Politecnico di Milano in the academic year 2015-16. It discusses interoperability using HL7 v2 and v3 as examples of syntactic and semantic interoperability, respectively.
IST16-01 - Introduction to Interoperability and Semantic TechnologiesEmanuele Della Valle
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This document introduces a course on interoperability and semantic technologies. It defines interoperability and its different levels, including functional and semantic interoperability. It also discusses challenges related to standardization in healthcare like the variety of standards, the need for translation between standards, and the high costs of a lack of interoperability. Finally, it presents how semantic technologies like RDF, SPARQL and OWL can help address these challenges by providing flexible models and languages that can embrace change and translation.
Stream reasoning: mastering the velocity and the variety dimensions of Big Da...Emanuele Della Valle
油
More and more applications require real-time processing of heterogeneous data streams. In terms of the Vs of Big Data (volume, velocity, variety and veracity), they require addressing velocity and variety at the same time. Big Data solutions able to handle separately velocity and variety have been around for a while, but only Stream Reasoning approaches those two dimensions at once. Current results in the Stream Reasoning field are relevant for application areas that require to: handle massive datasets, process data streams on the fly, cope with heterogeneous incomplete and noisy data, provide reactive answers, support fine-grained information access, and integrate complex domain models. This talk starting from those requirements, frames the problem addressed by Stream Reasoning. It poses the research question and operationalise it with four simpler sub-questions. It describes how the database group of Politecnico di Milano positively answered those sub-questions in the last 7 years of research. It briefly surveys alternative approaches investigated by other research groups world wide and it elaborates on current limitations and open challenges.
The 10 minutes presentation I gave at my PhD defence on 21.9.2015 in Amsterdam. Prof. Frank van Harmelen was my promoter. Prof. Ian Horrocks, prof. Manfred Hauswirth, prof. Geert-Jan Houben, Peter Boncz and prof. Guus Schreiber were my opponents.
Listening to the pulse of our cities fusing Social Media Streams and Call Dat...Emanuele Della Valle
油
The digital reflection of our cities is sharpening and it is tracking their evolution with a decreasing delay. This happens thanks to the pervasive deployment of sensors, the wide adoption of smart phones, the usage of (location-based) social networks and the availability of datasets about urban environment. So while data becomes every day more abundant, decision makers face the challenge to increase their capability to create value out of the analysis of this data. This key note presents how advance visual analytics, ontology base data access and information flow processing methods can help in making sense of Social Media Streams and Call Data Records from Mobile Network Operators during city scale events. Real-world deployments demonstrate the ability of those methods to advance our ability to feel the pulse of our cities in order to deliver innovative services.
C竪 un modo di raccontare un evento che passa attraverso la lettura dei flussi social che genera. Quella traccia digitale che ogni partecipante lascia sui social network quando condivide la sua partecipazione o la sua opinione. E possibile fondere e interpretare in tempo reale tali tracce utilizzando tecnologie danalisi davanguardia e modelli avanzati di visualizzazione dei dati. Nel 2014 in collaborazione con StudioLabo e Telecom Italia, il Politecnico di Milano ha realizzato CitySensing, per mostrare limpronta lasciata dal FuoriSalone sui social network. Focalizzando, in seguito, CitySensing sulle esigenze del gestore dellevento, il Politecnico di Milano ha mostrato la potenzialit dellapproccio per il Festival della Comunicazione di Camogli e per il Festival delle Letterature di Pescara. La soluzione 竪 ora offerta da Fluxedo.
C'竪 un modo di racocontare la citt che passa attraverso la lettura dei flussi di dati che essa genera. Quelle tracce digitali che ciascuno di noi lascia ogni volta che compie un piccolo gesto quotidiano, come fare una telefonata o inviare un tweet.
In City Data Fusion, il Politecnico di Milano e Telecom Italia raccontano le citt fondendo, interpretando e visualizzando i Big Data, ovvero quell'enorme e continuo flusso di tracce digitali che i loro abitanti e visitotori lasciano utilizzando il proprio smartphone o i servizi della citt.
Questa presentazione vi introduce all'osservazione alcune citt italiane in una prospettiva nuova.
1. 2. La valutazione di un enunciato Parte I: linguaggio e realt
2. Sommario Nella lezione precedente abbiamo visto che un enunciato 竪 vero se rappresenta uno stato di cose che sussiste nel mondo del discorso Ora affronteremo lultima domanda che ci eravamo posti: in che modo si valuta un enunciato relativamente a un determinato mondo del discorso?
4. Lenunciato e il mondo del discorso Ritorniamo allenunciato c竪 un cubo verde su un ripiano che ora valuteremo relativamente al mondo del discorso rappresentato visivamente qui sotto:
5. Il principio di composizione Per la valutazione dellenunciato seguiremo il principio di composizione , formulato per la prima volta in modo esplicito da Frege: il valore di verit di un enunciato complesso 竪 funzione dei valori di verit delle sue parti Per applicare il principio 竪 necessario riscrivere lenunciato in modo da metterne in luce la struttura Lenunciato c竪 un cubo verde su un ripiano pu嘆 essere riscritto come: esistono due individui, x e y, tali che: x 竪 un cubo e x 竪 verde e y 竪 un ripiano e x 竪 su y
6. Il principio di composizione (2) Seguendo il principio di composizione, il nostro compito sar valutare lenunciato complesso c竪 un cubo verde su un ripiano partendo dalla valutazione delle sue parti, ovvero delle espressioni: esistono due individui, x e y, tali che: ... x 竪 un cubo x 竪 verde y 竪 un ripiano x 竪 su y
7. Valutazione dellenunciato Un enunciato della forma esistono due individui, x e y, tali che: ... 竪 vero se, e solo se, possiamo assegnare due individui di nostra scelta a x e y in modo tale che la parte ... dellenunciato sia vera Possiamo assegnare a x lindividuo A e a y lindividuo B del disegno A B
8. Valutazione dellenunciato (2) Fatti questi assegnamenti la parte rimanente dellenunciato diventa: A 竪 un cubo e A 竪 verde e B 竪 un ripiano e A 竪 su B Ora siamo in presenza della congiunzione di quattro enunciati semplici: A 竪 un cubo , A 竪 verde, B 竪 un ripiano, A 竪 su B A B
9. Valutazione dellenunciato (3) Come vedremo meglio in seguito, la congiunzione di pi湛 enunciati 竪 vera se, e solo se, 竪 vero ogni singolo enunciato che compare nella congiunzione Quindi lenunciato A 竪 un cubo e A 竪 verde e B 竪 un ripiano e A 竪 su B 竪 vero se, e solo se, sono veri i quattro enunciati A 竪 un cubo A 竪 verde B 竪 un ripiano A 竪 su B Come facciamo a stabilire se questi quattro enunciati sono veri? A B
10. Valutazione di un enunciato semplice Consideriamo ad esempio il primo enunciato: A 竪 un cubo Questo enunciato 竪 vero nel mondo del discorso grazie a due fattori: lindividuo del mondo del discorso che costituisce il referente del termine referenziale A il significato del termine predicativo 竪 un cubo A B
11. Referente Il referente del termine referenziale A nel disegno 竪 facilmente identificabile Nel mondo reale le cose non sono cos狸 semplici, perch辿 gli individui non ci vengono presentati con unetichetta scritta sopra! Comunque, un termine referenziale ha un referente nella misura in cui un soggetto (un essere umano) 竪 in grado di identificare tale referente nel mondo del discorso A B
12. Significato e condizioni di verit Il significato di un termine predicativo, come 竪 un cubo , 竪 dato dalle sue condizioni di verit In altre parole, sapere che cosa significhi 竪 un cubo equivale a sapere sotto quali condizioni un enunciato del tipo x 竪 un cubo 竪 vero Un termine predicativo ha un significato nella misura in cui una persona sia in grado di comprenderlo, in quanto ne conosce le condizioni di verit
13. Mente, linguaggio, realt Quindi sono i processi mentali umani che consentono di gettare un ponte (detto relazione semantica ) fra il piano del linguaggio e il piano della realt Relazione Semantica linguaggio mente realt 竪 un cubo idea di CUBO 竪 verde idea di VERDE
14. Significato e condizioni di verit (2) I tre termini predicativi 竪 un cubo , 竪 verde ed 竪 un ripiano si comportano in modo analogo I valori di verit degli enunciati semplici A 竪 un cubo , A 竪 verde e B 竪 un ripiano nel mondo del discorso dipendono quindi: dai referenti dei termini referenziali A e B dalle idee di CUBO , di VERDE e di RIPIANO Il termine predicativo 竪 su differisce dagli altri tre perch辿 anzich辿 predicare una propriet di un individuo pone in relazione due individui: il valore di verit dellenunciato semplice A 竪 su B nel mondo del discorso dipende dai referenti dei termini referenziali A e B dallidea di ESSERE SU
15. Risultato della valutazione Lenunciato esistono due individui, x e y, tali che: x 竪 un cubo e x 竪 verde e y 竪 un ripiano e x 竪 su y 竪 quindi vero nel mondo del discorso assegnato perch辿 竪 possibile assegnare due valori di nostra scelta a x e y in modo tale che: lenunciato x 竪 un cubo sia vero lenunciato x 竪 verde sia vero lenunciato y 竪 un ripiano sia vero lenunciato x 竪 su y sia vero Abbiamo applicato il principio di composizione , calcolando il valore di verit dellenunciato completo in funzione dei valori di verit delle sue parti
16. Due considerazioni sulla verit Che cosa succede se non abbiamo accesso al mondo del discorso, ovvero se non sappiamo quali stati di cose sussistano effettivamente? Di norma in un caso del genere non possiamo stabilire se lenunciato 竪 vero o falso, ma 竪 necessario fare due considerazioni La prima considerazione 竪 che lenunciato 竪 comunque o vero o falso nel mondo del discorso , indipendentemente dal fatto che noi conosciamo o non conosciamo il suo valore di verit. Ad esempio: in questo momento sta piovendo nella Piazza dellOttagono di Dunedin, in Nuova Zelanda (per嘆 possiamo provare a scoprirlo )
17. Due considerazioni sulla verit (2) La seconda considerazione 竪 che se capiamo lenunciato, ovvero se comprendiamo le sue condizioni di verit, sappiamo come dovrebbe essere il mondo del discorso affinch辿 lenunciato sia vero In molti casi dinteresse reale non siamo in grado di verificare la verit di un enunciato: possiamo soltanto capire lenunciato e decidere se fidarci o meno della fonte
18. Concetti importanti Valutazione di un enunciato (relativa a un modo del discorso) Principio di composizione Referenti dei termini referenziali (nel mondo del discorso) Significato di un termine predicativo e condizioni di verit Triangolo mente-linguaggio-realt