Web 3.0: Next Gen Web & Apps

Class 1 - Introduction

Prof. Amit Sheth discusses the basic concepts in Semantic Web and Web 3.0. Class video.

Slides : http://www.slideshare.net/apsheth/semantic-web-introduction-overview

Class 2: Twitris Overview and Tutorial

Jeremy presents Twitris tool. Various features have been demonstrated.

Class 3 : Role of metadata and semantic search

Prof. Amit Sheth discusses role of metadata in semantic search.

Slides : http://www.slideshare.net/apsheth/semantic-web-introduction-overview

Class 4 : Semantic search engine

Prof. Amit Sheth explains semantic search engine and discusses first semantic search engine Talee.

Slides : http://www.slideshare.net/apsheth/semantic-web-in-action-ontologydriven-information-search-integration-and-analysis

Class 5 : RDF/RDFS

Vinh discusses RDF/RDFS. Following is the class video.

Slides : https://drive.google.com/file/d/0B5AIWZ9-TifAV0R3RHNVUUVDd3M/edit?pageId=107835762675330689073

Class 6 : RDF/RDFS 2, Data modelling

RDF/RDFS continues. Data modelling using RDF is discussed in detail.

Slides : https://drive.google.com/file/d/0B5AIWZ9-TifAV0R3RHNVUUVDd3M/edit?pageId=107835762675330689073

Class 7 : Schema.org

Sanjaya explains Schema.org and annotation using schema.org.

Class 8 : Relationship Web

Prof. Amit Sheth talks about relationship web and roles of relationships in semantic web.

Slides : http://www.slideshare.net/apsheth/relationship-web-trailblazing-analytics-and-computing-for-human-experience

Class 9: Introduction on Big Data with an Emphasis on the Velocity and Variety Dimensions

Prof. Emanuele Della Velle discusses velocity and veriety dimensions of Big Data.

Slides : http://www.slideshare.net/knoesis/big-data-an-introduction-focused-on-velocity-and-variety

Class 10 : Mastering veriety dimension of Big data with Semantic technologies

Prof. Amit Sheth discusses roles of semantic technologies in Big data to address veriety.

Slides : http://www.slideshare.net/knoesis/mastering-the-variety-dimension-of-big-data-with-semantic-technologies-high-level-intro-to-standards-focus-on-varietyinteroperability-dimension

Class 11 : Walkthrough of Semantic Technologies: RDF, SPARQL, OWL, and R2ML

Prof. Emanuele Della Velle discusses semantic technologies.

Slides : http://www.slideshare.net/knoesis/mastering-the-variety-dimension-ontop-demonstration

Class 12 : Examples of Applied Semantic Technologies to Solve Variety: SSN Annotation

Pramod Ananthram discusses SSN Ontology to address veriety dimension of Big data in sensor data.

Slides : http://www.slideshare.net/knoesis/examples-of-applied-semantic-technologies-application-of-semantic-sensor-network

Class 13 : Examples of Applied Semantic Technologies to Solve Variety: Social Data Annotation

Prof. Amit Sheth discusses how to address veriety aspect of Big data for social data.

Slides : http://www.slideshare.net/knoesis/examples-of-applied-semantic-technologies-social-data-annotation

Class 14 : Mastering the Velocity of Big Data with Stream Processing Technologies

Prof. Emanuele Della Valle discusses velocity aspect in Big data and various stream processing technologies.

Slides : http://www.slideshare.net/knoesis/mastering-the-velocity-dimension-of-big-data

Class 15 : Walkthrough on Stream Processing Technologies

Riccardo continues discussion about stream processing technologies and also gives hands on on some of the stream processing processing technologies.

Slides : http://www.slideshare.net/knoesis/walk-through-streaming-technologies-epl

Class 16 : Examples of Applied Stream Processing Technologies to Solve Velocity

Prof. Amit Sheth discusses stream processing technologies for real world application to address velocity dimension of Big data.

Slides : http://www.slideshare.net/knoesis/examples-of-realworld-big-data-application

Class 17 : Stream Reasoning: Mastering the Velocity & Variety Dimension of Big Data at the Same Time

Prof. Emanuele Della Valle discusses technology for reasoning over streaming data.

Slides : http://www.slideshare.net/knoesis/stream-reasoning-mastering-the-velocity-and-variety-dimensions-of-big-data-at-once

Class 18 : Hands-on Stream Reasoning Technologies

Riccardo continues discussion about stream reasoning and provides hands on for reasoning over streaming data.

Slides : http://www.slideshare.net/knoesis/rdf-streams-and-continuous-sparql-csparql

Class 19 : Semantic Filtering as an Example of Semantic Technologies for Real-time Analysis

Pavan discusses continuous semantics for streaming Twitter data.

Class 20 : Event Correlation Social and IoT as an Example of Data Integration

Pramod Ananthram discusses role of social and sensor data in event correlation.

Slides : http://www.slideshare.net/knoesis/integrating-sensor-and-social-data-for-understanding-city-events

Class 21 : Listening to the Pulse of our Cities Fusing Social Media Streams & Call
Data Records

Prof. Emanuele Della Valle discusses role of social media streams and call data records for event identification.

Slides : http://www.slideshare.net/knoesis/listening-to-the-pulse-of-our-cities-fusing-social-media-streams-and-call-data-records-54220176

Final Projects

Links for final project presentation of each group: