@inproceedings{pub5671,
    series = {Lecture Notes in Computer Science},
    abstract = {In this paper, we present an efficient comparison of text and RDF data for recognizing named entities. Here, a named entity is a text sequence that refers to a URI reference within an RDF graph. We present suffix arrays as representation format for text and a relational database scheme to represent Semantic Web data. Using these representation facilities performs a named entity recognition in linear time complexity and without the requirement to hold names of existing entities in memory. Both is needed to implement a named entity recognition on the scale of for instance the DBpedia database.},
    year = {2011},
    title = {Using Suffix Arrays for Efficiently Recognition of Named Entities in Large Scale},
    booktitle = {Knowlege-Based and Intelligent Information and Engineering Systems. International Conference on Knowledge-Based and Intelligent Information & Engineering Systems (KES-2011), 15th, September 12 - August 14, Kaiserslautern, Germany},
    editor = {Andreas König and Andreas Dengel and Knut Hinkelmann and Koichi Kise and Robert J. Howlett and Lakhmi C. Jain},
    volume = {6882},
    pages = {420-429},
    isbn = {978-3-642-23862-8},
    publisher = {Springer},
    author = {Benjamin Adrian and Sven Schwarz},
    keywords = {informaiton extraction, named entity recognition},
    url = {http://www.springerlink.com/content/481l141312632lj7/}
}