1st Workshop on Automated Knowledge Based Construction (AKBC), Grenoble 2010

1st Workshop on Automated Knowledge Based Construction (AKBC), Grenoble 2010

21 Lectures · May 17, 2010

About

Good decision-making is dependent on comprehensive, accurate knowledge. But the information relevant to many important decisions in areas such as business, government, medicine and scientific research is massive, and growing at an accelerating pace. Relevant raw data is widely available on the web and other data sources, but usually in order to be useful it must be gathered, extracted, organized, and normalized into a knowledge base.

Hand-built knowledge bases such as Wikipedia have made us all better decision-makers. However more than human editing will be necessary to create a wide variety of domain-specific, deeply comprehensive, more highly structured knowledge bases.

A variety of automated methods have begun to reach levels of accuracy and scalability that make them applicable to automatically constructing useful knowledge bases from text and other sources. These capabilities have been enabled by research in areas including natural language processing, information extraction, information integration, databases, search and machine learning. There are substantial scientific and engineering challenges in advancing and integrating such relevant methodologies.

This workshop gathered researchers in a variety of fields that contribute to the automated construction of knowledge bases.

There has recently been a tremendous amount of new work in this area, some of it in traditionally disconnected communities. In this workshop the organizers aim to bring these communities together.

Topics of interest include:

  • information extraction; open information extraction, named entity extraction; entity resolution, relation extraction.\
  • information integration; schema alignment; ontology alignment; ontology constrution.\
  • monolingual alignment, alignment between knowlege bases and text.\
  • joint inference between text interpretation and knowledge base\
  • pattern analysis, semantic analysis of natural language, reading the web, learning by reading.\
  • databases; distributed information systems; probabilistic databases.\
  • scalable computation; distributed computation.\
  • information retrieval; search on mixtures of structured and unstructured data; querying under uncertainty.\
  • machine learning; unsupervised, lightly-supervised and distantly-supervised learning; learning from naturally-available data.\
  • human-computer collaboration in knowledge base construction; automated population of wikis.\
  • dynamic data, online/on-the-fly adaptation of knowledge.\
  • inference; scalable approximate inference.\
  • languages, toolkits and systems for automated knowledge base construction.\
  • demonstrations of existing automatically-built knowledge bases.\

More about the event here.

Related categories

Uploaded videos:

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11:15

Welcome Speech at the First Workshop on Automated Knowledge Based Construction 2...

Andrew McCallum

Jun 07, 2010

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3239 Views

Opening

Systems and Overviews

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01:03:01

Building Structured Web Databases: A Midterm Report from the Cimple Project

AnHai Doan

Jun 07, 2010

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3767 Views

Invited Talk

Databases, evidence, provenance, inference

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01:04:14

Timely Knowledge

Gerhard Weikum

Jun 07, 2010

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3456 Views

Invited Talk
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55:16

DBToaster: Aggressive Compilation Techniques for Online Aggregation

Christoph Koch

Jun 07, 2010

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4354 Views

Invited Talk
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57:25

PrDB: Increasing the Representational Power and Scaling Reasoning in Probabilist...

Amol Deshpande

Jun 07, 2010

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3275 Views

Invited Talk
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01:19:10

MCMC Inference Inside the DB for Extraction, Resolution, Alignment, Provenance a...

Andrew McCallum

Jun 07, 2010

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4309 Views

Invited Talk

Schema/ontology alignment, data resources, querying

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52:47

Table Search

Alon Y. Halevy

Jun 07, 2010

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2684 Views

Invited Talk
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50:06

WWT: A system for query-driven relation extraction from the semi-structured web

Sunita Sarawagi

Jun 07, 2010

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4490 Views

Invited Talk
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52:57

Query-Driven Integration: The Q System

Zachary G. Ives

Jun 07, 2010

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2986 Views

Invited Talk
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18:41

Worth its Weight in Gold or Yet Another Resource — A Comparative Study of Wiktio...

Christian M. Meyer

Jun 07, 2010

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4533 Views

Best Paper
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12:24

Combined Structured and Keyword-Based Search in Textually Enriched Entity-Relati...

Davide Magatti

Jun 07, 2010

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3687 Views

Best Paper
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13:23

Aligning Sense Inventories in Wikipedia and Wordnet

Elisabeth Wolf

Jun 07, 2010

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3411 Views

Best Paper
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11:31

ProbaMap: a scalable tool for discovering probabilistic mappings between taxonom...

Remi Tournaire

Jun 07, 2010

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3042 Views

Best Paper
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17:42

Entity Disambiguation using Relations extracted from Wikipedia

Anja Pilz

Jun 07, 2010

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4023 Views

Best Paper

Information Extraction

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59:52

Meaning Propagation

Fernando C. N. Pereira

Jun 07, 2010

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3443 Views

Invited Talk
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50:31

The Web’s Many Models

Michael J. Cafarella

Jun 07, 2010

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3230 Views

Invited Talk
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44:02

Robust Web Extraction, A Principled Approach

Philip Bohannon

Jun 07, 2010

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3662 Views

Invited Talk
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50:15

Reinforcement Learning for Structured Data Labeling

Patrick Gallinari

Jun 07, 2010

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3560 Views

Invited Talk
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18:14

Finding Frequent and Interesting Triples in Text

Janez Brank

Jun 07, 2010

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3795 Views

Best Paper
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19:23

Mining Commonsense Knowledge From Personal Stories in Internet Weblogs

Andrew S. Gordon

Jun 07, 2010

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4065 Views

Best Paper
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20:41

Automatic Extraction of Human Activity Knowledge from Method-Describing Web Arti...

Sung Hyon Myaeng

Jun 07, 2010

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4099 Views

Best Paper