AAAI Spring Symposium on Linked Data Meets Artificial Intelligence
Submitted by bheyer on October 30, 2009 - 14:20
************************************************************************
The goal of Linked Data is to enable people to share structured data on the Web as easily as they can share documents today. The basic assumption behind Linked Data is that the value and usefulness of data increases the more it is interlinked with other data. Linked Data is simply about using the Web to create typed links between data from different sources. Today, this emerging Web of Data includes data sets as extensive and diverse as DBpedia, Geonames, US Census, EuroStat, MusicBrainz, BBC Programmes, Flickr, DBLP, PubMed, UniProt, FOAF, SIOC, OpenCyc, UMBEL, Virtual Observatories, and Yago.
Location:
Stanford, CA
Date(s):
Monday, March 22, 2010
************************************************************************
AAAI Spring Symposium on Linked Data Meets Artificial Intelligence
March 22-24, 2010, Stanford, CA
http://www.foaf-project.org/events/linkedai
AAAI Spring Symposium on Linked Data Meets Artificial Intelligence
March 22-24, 2010, Stanford, CA
http://www.foaf-project.org/events/linkedai
************************************************************************
The goal of Linked Data is to enable people to share structured data on the Web as easily as they can share documents today. The basic assumption behind Linked Data is that the value and usefulness of data increases the more it is interlinked with other data. Linked Data is simply about using the Web to create typed links between data from different sources. Today, this emerging Web of Data includes data sets as extensive and diverse as DBpedia, Geonames, US Census, EuroStat, MusicBrainz, BBC Programmes, Flickr, DBLP, PubMed, UniProt, FOAF, SIOC, OpenCyc, UMBEL, Virtual Observatories, and Yago.
The availability of this linked data creates a new opportunity for the exploitation of AI techniques that have historically played central role in knowledge representation, information extraction, information integration, and cognitive agents. The symposium is aimed at bringing together the researchers working on Linked Data and AI. Our hope is to create a new community interested in utilizing AI techniques such as ontologies, machine learning, data fusion, etc. in exploring the linked open data. Successful submissions will address at least some aspect of both areas.
The symposium will cover topics such as:
* Light Weight Ontologies for Linked Data
* Lightweight representation languages for capturing linked data
* Lightweight ontologies to specify semantics in linked data
* Conceptual modeling techniques for representing linked data
* Ontology community evolution and maintenance environments for use with linked data
* Ontology-enabled environments and tools for Linked Data
* Light Weight Ontologies for Linked Data
* Lightweight representation languages for capturing linked data
* Lightweight ontologies to specify semantics in linked data
* Conceptual modeling techniques for representing linked data
* Ontology community evolution and maintenance environments for use with linked data
* Ontology-enabled environments and tools for Linked Data
Semantic Publishing
* Tools for publishing large data sources using light weight ontologies on the Web (e.g. relational databases, XMrepositories)
* Curating policies and approaches for linked data
* Embedding linked data with semantics into classic Web documents (e.g. GRDDL, RDFa, Microformats)
* Licensing and provenance tracking issues in Linked Data publishing Provenance languages and tools for Linked Data
* Business models for Linked Data publishing and consumption
* Tools for publishing large data sources using light weight ontologies on the Web (e.g. relational databases, XMrepositories)
* Curating policies and approaches for linked data
* Embedding linked data with semantics into classic Web documents (e.g. GRDDL, RDFa, Microformats)
* Licensing and provenance tracking issues in Linked Data publishing Provenance languages and tools for Linked Data
* Business models for Linked Data publishing and consumption
Exploiting Linked Data
* User interaction and usability issues surrounding linked data
* Visualization techniques for exploring linked data
* Evidence-weighing techniques for socially-grounded claims (FOAF, OpenID)
* Use of machine learning algorithms for linking and identity resolution
* Inference and techniques for answering questions using linked data
* Exploiting rich knowledge bases in conjunction with the linked data
* User interaction and usability issues surrounding linked data
* Visualization techniques for exploring linked data
* Evidence-weighing techniques for socially-grounded claims (FOAF, OpenID)
* Use of machine learning algorithms for linking and identity resolution
* Inference and techniques for answering questions using linked data
* Exploiting rich knowledge bases in conjunction with the linked data
Linked Data Application Architectures
* Crawling, caching and querying Linked Data on the Web; optimizations, performance
* Linked Data browsers
* Linked Data search engines and search interfaces
* Building intelligent agents that exploit linked data
* Crawling, caching and querying Linked Data on the Web; optimizations, performance
* Linked Data browsers
* Linked Data search engines and search interfaces
* Building intelligent agents that exploit linked data
The symposium will feature contributed papers, invited talks, and panels, and will include "self-organized" sessions in the barcamp / un-conference style.
Email contact: linkedai.admin@gmail.com
Keynote: R.V. Guha (Google)
Submissions:
We welcome short and long papers, position statements, videos, panel, and demo proposals. Please submit your paper of 2-8 pages in PDF AAAI submission format (http://www.aaai.org/Publications/Author/author.php)
to the Linked Data and AI submission site on Easychair: https://www.easychair.org/login.cgi?conf=linkedai2010
Important Dates
* October 2, 2009: Submissions due to organizers
* November 6, 2009: Notification of acceptance sent by organizers
* January 22, 2010: Accepted camera-ready copy due to AAAI
EventType:
Conference
The National Center for Biomedical Ontology is one of the National Centers for Biomedical Computing supported by the NIH Roadmap.
Copyright © 2005–2010, The Board of Trustees of Leland Stanford Junior University. All rights reserved.