Srinath Srinivasa

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Currently Head of Web Science Lab at IIIT Bangalore (http://wsl.iiitb.ac.in/) Research activities over the past 8 years have encompassed the following areas: Graph data management (with applications to managing protein data, hyperlink data, control flow data) Data-centric networking (with applications to search and localization in ad hoc networks, DHT design) Cognitive models for semantics extraction (with applications to text mining, hyperlink analysis and automated tagging) Open-world computing or computing in the face of uncertainty (with applications to query optimization in stream grids and anomaly detection in grid environments)

webscience social networks cognition social media semantics autonomous agents machine ethics artificial intelligence complex system sustainability narratives social cognition data protection privacy open data mind social machines web science abstractions diffusion of ideas diffusion of emotions expressions web linked data big data semantic web inference communities knowledge management operational knowledge information networks co-citation text-mining topical anchors co-occurrence databases graph

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Srinath Srinivasa

Presentations

Information Networks And Their Dynamics

Trends In Graph Data Management And Mining

The open problem of open-world computing

Semantics hidden within co-occurrence patterns

Information Networks and Semantics

Aggregating Operational Knowledge in Community Settings

Big Data and the Semantic Web: Challenges and Opportunities

The Power Law of Social Media: What CIOs Should Know

Towards a "Mindful" Web

Abstraction and Expression on the Web

Big Social Machines: Architecture and Challenges

The Web and the Mind

Open ended data

Characterizing online social cognition

Modeling sustainability in social networks

AI and the sense of self

Likes

Abstraction and Expression on the Web

Continuous Learning Algorithms - a Research Proposal Paper

Cs207 9

Utilitarian aggregation of open data

What is big data?

Bangalore zerowaste-vs-wte

Ruby on Rails Performance Tuning. Make it faster, make it better (WindyCityRails)

Startups in Sweden vs Startups in Silicon Valley