Semantic Computing for Software Agents

Channel:
Microsoft Research
Subscribers:
344,000
Published on ● Video Link: https://www.youtube.com/watch?v=daUIX1voUa4


Duration: 1:09:27
324 views
2

Semantic Computing combines disciplines such as computational linguistics, artificial intelligence, multimedia, database and services computing together into an integrated theme while addressing their synergetic interactions. In this session presentations will show how semantic technologies coupled with machine learning approaches can address the meaning of large scale heterogeneous data and how they can help improve design for software engineering and develop intelligent software agents. In particular, the presentations will address challenge of correctly disambiguate entities and relationships in the merging process in order to be able to compose large knowledge bases with high coverage. Due to the high degree of uncertainty in the merging process it appears promising to use an approach based on probability, in particular, graphical models.



Other Videos By Microsoft Research


2016-08-16Bug and Malware Detection on a Web Scale
2016-08-16Natural User Interactions Supported by Human-Centric Computing
2016-08-16PANEL: Software Research Twenty Years On
2016-08-16The role of funding agencies and industrial research in promoting computing science education
2016-08-16Politics, Preferences and Permutations: Probabilistic Reasoning with Rankings
2016-08-16Parallelism: Merging Theory and Practice
2016-08-16The Future of F#: Taming the Data Deluge with a Strongly Typed Functional Programming Language
2016-08-16Keynote: The Future of Software Engineering
2016-08-16Beyond Multicore
2016-08-16Improving Internet Performance and Availability with Reverse Traceroute
2016-08-16Semantic Computing for Software Agents
2016-08-16Towards Coding for Maximum Errors in Interactive Communication
2016-08-16Welcome and Keynote: Beyond Software
2016-08-16How to play Unique Games against a Semi-Random adversary
2016-08-16Programming in the Era of Cloud, Data and Devices, F# 3.0 Information Rich Programming
2016-08-16Understanding Malware on the Internet
2016-08-16Programming in the Era of Cloud, Data and Devices
2016-08-16Programming in the Era of Cloud, Data and Devices, Resource-Rich Mobile Computing
2016-08-16Leveraging Structure to Efficiently Make Good Decisions in an Uncertain World
2016-08-16Research on Scholarly Practices and Communication at Cornell Information Science
2016-08-16SSLShader: Cheap SSL Acceleration with Commodity Processors


Tags:
microsoft research