Workshop on Web of Linked Entities (WoLE2012)
http://wole2012.eurecom.fr [10]
In conjunction with the 11th International Semantic Web Conference
(ISWC2012), Boston, 11/12 November 2012
Most of the knowledge available on the Web is encoded in natural
language text or Web documents aimed primarily at human consumption.
Providing programmatic access to such knowledge is an interesting
prospect. This requires information extraction techniques to extract
machine readable structures from free text, from which it is possible to
retrieve entities and categories. These entities can potentially be
linked to each other, creating a global knowledge graph of linked entities.
The WoLE2012 workshop envisions the Web as a Web of Linked Entities
(WoLE), which transparently connects the World Wide Web (WWW) and the
Giant Global Graph (GGG) using methods from Information Retrieval (IR)
and Natural Language Processing (NLP). The focus of this workshop is to
bring together the Information Retrieval, Semantic Web and NLP
communities. The primary goal is to strengthen research techniques that
provide access to textual information published on the Web to further
improve the adoption of Semantic Web technology.
OBJECTIVES AND TOPICS (but are not limited to):
* Text and web mining
* Pattern and semantic analysis of natural language, reading the web,
learning by reading
* Large-scale information extraction
* Usage mining
* Entity resolution and automatic entities discovery
* Frequent pattern analysis of entities
* Entity linking, named entity disambiguation, cross-document
co-reference resolution
* Ontology representation of natural language text
* Analysis of ontology models for natural language text
* Learning and refinement of ontologies
* Natural language taxonomies modeled to Semantic Web ontologies
* Disambiguation through knowledge base
* Multilingual entity recognition and disambiguation
* Use cases of entity recognition for Linked Data applications
* Relationship extraction, slot filling
* Impact of entity linking on information retrieval, semantic search
* Conversion of NLP tools output to RDF (NIF, Lemon, OLiA, NERD)
* Usage of LOD data to improve performance of NLP processes
* Semantification of Web pages such as blogs, forum, etc.
* Evaluation of new and existing tools across different domains and
types of discourse
KEYNOTE SPEAKER:
Fabian M. Suchanek, Max-Planck Institute for Informatics, Germany
