DBpedia plays a central role in Linked Open Data (LOD), due to the large and growing number of resources linked to it. Currently, this project extracts information from Wikipedia to represent in RDF triples. The extraction procedure required to manually map Wikipedia infobox attributes into the DBpedia properties. However, the number attributes are so large for all Wikipedia editions in differe...

We present a knowledge-rich methodology for disambiguating Wikipedia categories with WordNet synsets and using this semantic information to restructure a taxonomy automatically generated from the Wikipedia system of categories. We evaluate against a manual gold standard and show that both category disambiguation and taxonomy restructuring perform with high accuracy. Besides, we assess these met...

We describe Dublin City University (DCU)’s participation in the VideoCLEF 2009 Linking Task. Two approaches were implemented using the Lemur information retrieval toolkit. Both approaches first extracted a search query from the transcriptions of the Dutch TV broadcasts. One method first performed search on a Dutch Wikipedia archive, then followed links to corresponding pages in the English Wiki...

The TCAR team developed multiple information retrieval based entity linking systems in a matter of weeks for the TAC-KBP evaluation task. We focused primarily on developing entity linking algorithms that do not require Wikipedia text and correctly detect when a given entity does not exist in Wikipedia (NIL). Without using Wikipedia text, the system achieves an overall TAC 2010 score of 67 perce...

Wikipedia is one of the largest public information spaces with a huge user community, which collaboratively works on the largest online encyclopedia. Their users add or edit up to 150 thousand wiki pages per day. The DBpedia project extracts RDF from Wikipedia and interlinks it with other knowledge bases. In the DBpedia live extraction mode, Wikipedia edits are instantly processed to update inf...

We investigate whether the Wikipedia corpus is amenable to multilingual analysis that aims at generating parallel corpora. We present the results of the application of two simple heuristics for the identification of similar text across multiple languages in Wikipedia. Despite the simplicity of the methods, evaluation carried out on a sample of Wikipedia pages shows encouraging results.

Wikipedia, a collaborative Wiki-based encyclopedia, has become a huge phenomenon among Internet users. It covers huge number of concepts of various fields such as Arts, Geography, History, Science, Sports and Games. Since it is becoming a database storing all human knowledge, Wikipedia mining is a promising approach that bridges the Semantic Web and the Social Web (a. k. a. Web 2.0). In fact, i...

This paper investigates the diffusion of around 100,000 articles about literary authors in 52 versions of Wikipedia. We studied how Wiki versions replicate articles of authors belonging to a particular linguistic group and we collected findings about the potential mechanisms governing the replication process and its fairness. Results showed that diffusion of articles follows a power law, govern...

Wikipedia might possibly be the best-developed attempt thus far of the enduring quest to gather all human knowledge in one place. Its accomplishments in this regard have made it an irresistible point of inquiry for researchers from various fields of knowledge. A decade of research has thrown light on many aspects of the Wikipedia community, its processes, and content. However, due to the variet...

English. In this work, we analyse whether Wikipedia can be used to leverage simplification pairs instead of Simple Wikipedia, which has proved unreliable for assessing automatic simplification systems, and is available only in English. We focus on sentence pairs in which the target sentence is the outcome of a Wikipedia edit marked as ‘simplified’, and manually annotate simplification phenomena...