The DBpedia project is a community effort to extract structured information from Wikipedia
and to make this information accessible on the Web. The resulting DBpedia knowledge base …

Information retrieval (IR) has changed considerably in recent years with the expansion of the
World Wide Web and the advent of modern and inexpensive graphical user interfaces and …

Wikipedia is a goldmine of information; not just for its many readers, but also for the growing
community of researchers who recognize it as a resource of exceptional scale and utility. It …

Currently, techniques for content description and query processing in Information Retrieval
(IR) are based on keywords, and therefore provide limited capabilities to capture the …

Wikipedia has become one of the ten most visited sites on the Web, and the world's leading
source of Web reference information. Its rapid success has inspired hundreds of scholars …

Understanding the intent behind a user's query can help search engine to automatically
route the query to some corresponding vertical search engines to obtain particularly relevant …

In this paper, we describe how the BBC is working to integrate data and linking documents
across BBC domains by using Semantic Web technology, in particular Linked Data …

Recent years have seen a great deal of work that exploits collaborative, semi-structured
content for Artificial Intelligence (AI) and Natural Language Processing (NLP). This special …

We describe an approach for extracting semantics for tags, unstructured text-labels assigned
to resources on the Web, based on each tag's usage patterns. In particular, we focus on the …

Although primarily an encyclopedia, Wikipedia's expansive content provides a knowledge
base that has been continuously exploited by researchers in a wide variety of domains. This …