Difference between revisions of "Graduate Logic Seminar"
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The Graduate Logic Seminar is an informal space where graduate students and professors present topics related to logic which are not necessarily original or completed work. This is a space focused principally on practicing presentation skills or learning materials that are not usually presented in a class. | The Graduate Logic Seminar is an informal space where graduate students and professors present topics related to logic which are not necessarily original or completed work. This is a space focused principally on practicing presentation skills or learning materials that are not usually presented in a class. | ||
− | * '''When:''' | + | * '''When:''' Tuesdays 4-5 PM |
− | * '''Where:''' | + | * '''Where:''' Van Vleck 901 |
* '''Organizers:''' [https://www.math.wisc.edu/~jgoh/ Jun Le Goh] | * '''Organizers:''' [https://www.math.wisc.edu/~jgoh/ Jun Le Goh] | ||
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Sign up for the graduate logic seminar mailing list: join-grad-logic-sem@lists.wisc.edu | Sign up for the graduate logic seminar mailing list: join-grad-logic-sem@lists.wisc.edu | ||
− | == | + | == Fall 2021 tentative schedule == |
− | + | To see what's happening in the Logic qual preparation sessions click [[Logic Qual Prep|here]]. | |
− | + | === September 14 - organizational meeting === | |
− | + | We met to discuss the schedule. | |
− | === | + | === September 28 - Ouyang Xiating === |
− | Title: | + | Title: First-order logic, database and consistent query answering |
− | Abstract: | + | Abstract: Databases are a crucial component of many (if not all) modern |
+ | applications. In reality, the data stored are often dirty and contain | ||
+ | duplicated/missing entries, and it is a natural practice to clean the data | ||
+ | first before executing the query. However, the same query might return | ||
+ | different answers on different cleaned versions of the dataset. It is then | ||
+ | helpful to compute the consistent answers: the query answers that will always | ||
+ | be returned, regardless of how the dirty data is cleaned. In this talk, we | ||
+ | first introduce the connection between first-order logic and query languages | ||
+ | on databases, and then discuss the problem of Consistent Query Answering | ||
+ | (CQA): How to compute consistent answers on dirty data? Finally, we show | ||
+ | when the CQA problem can be solved using first-order logic for path queries. | ||
− | + | === October 12 - Karthik Ravishankar === | |
− | + | === October 26 - Alice Vidrine === | |
− | + | === November 9 - Antonio Nákid Cordero === | |
− | ==Previous Years== | + | === November 23 - open slot === |
+ | |||
+ | === December 7 - open slot === | ||
+ | |||
+ | == Previous Years == | ||
The schedule of talks from past semesters can be found [[Graduate Logic Seminar, previous semesters|here]]. | The schedule of talks from past semesters can be found [[Graduate Logic Seminar, previous semesters|here]]. |
Latest revision as of 11:43, 22 September 2021
The Graduate Logic Seminar is an informal space where graduate students and professors present topics related to logic which are not necessarily original or completed work. This is a space focused principally on practicing presentation skills or learning materials that are not usually presented in a class.
- When: Tuesdays 4-5 PM
- Where: Van Vleck 901
- Organizers: Jun Le Goh
The talk schedule is arranged at the beginning of each semester. If you would like to participate, please contact one of the organizers.
Sign up for the graduate logic seminar mailing list: join-grad-logic-sem@lists.wisc.edu
Contents
Fall 2021 tentative schedule
To see what's happening in the Logic qual preparation sessions click here.
September 14 - organizational meeting
We met to discuss the schedule.
September 28 - Ouyang Xiating
Title: First-order logic, database and consistent query answering
Abstract: Databases are a crucial component of many (if not all) modern applications. In reality, the data stored are often dirty and contain duplicated/missing entries, and it is a natural practice to clean the data first before executing the query. However, the same query might return different answers on different cleaned versions of the dataset. It is then helpful to compute the consistent answers: the query answers that will always be returned, regardless of how the dirty data is cleaned. In this talk, we first introduce the connection between first-order logic and query languages on databases, and then discuss the problem of Consistent Query Answering (CQA): How to compute consistent answers on dirty data? Finally, we show when the CQA problem can be solved using first-order logic for path queries.
October 12 - Karthik Ravishankar
October 26 - Alice Vidrine
November 9 - Antonio Nákid Cordero
November 23 - open slot
December 7 - open slot
Previous Years
The schedule of talks from past semesters can be found here.