WoLE 2013 - 2ND INTERNATIONAL WORKSHOP ON WEB OF LINKED ENTITIES

Although we have observed an explosion of the number of structured data sources shared on the “Web of Data”, the majority of the available Web content is still unstructured or semi-structured -- e.g. encoded in (hyper-) textual documents. As a general trend, unstructured data seems to be growing faster than structured data. According to a 2011 IDC study, unstructured data will account for 90 percent of all data created in the next decade.
Web content (structured, unstructured and semi-structured) often makes references to other documents or to entities described in structured data sources (e.g. Linked Data). Furthermore, structured data sources provide entity to entity interconnections, resulting in a Web of Linked Entities spanning structured and unstructured data. Therefore, it has become evident the need to study the impact of associating textual and structured content on information retrieval, extraction, integration and exploration.
The proposed workshop envisions 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), Natural Language Processing (NLP) and Database Systems (DB).
Submissions to the workshop should cover one of these topics:
Improvements upon the state of the art in NLP using information in the Web of Data (e.g. the Linked Open Data (LOD) cloud);
Use of NLP techniques to improve knowledge extraction, integration and discovery in the context of the Web of Data.
Knowledge extraction/retrieval from text and HTML documents (or other structured and semi-structured documents) on the Web; especially focusing on scalability, evaluation of precision & recall and/or live systems;
Novel applications to search and browse the WWW with the help of extracted knowledge and the Web of Data.
Methods with a special focus on Big Data due to volume (extremely large), variety (extremely heterogeneous) or speed (streaming at a fast pace).
Innovative applications showing the impact of the Web of Linked Entities vision on problems/solutions affecting the local community, e.g. detecting corruption, tracking criminality, facilitating access to education or health services, citizen participation on the government, improvement on tourism-related services, etc.
The focus of this workshop is on reconciling the discussion from related communities in Information Retrieval, Semantic Web, Database Systems and NLP.