[PlanetKR] AAAI Spring Symposium on Linked Data Meets Artificial Intelligence

[Mary-Anne Williams]

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

Semantic Publishing

* Tools for publishing large data sources using light weight
ontologies on the Web (e.g. relational databases, XML repositories)
* 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

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

The symposium will feature contributed papers, invited talks, and
panels, and will include "self-organized" sessions in the barcamp /
un-conference style.
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