The extraction of semantics of unstructured documents requires the recognition and classification of textual patterns, their variability, and their inter-relationships, i.e., the analysis of the linguistic structure of documents. Being the integral part of a larger real-life application, this linguistic analysis process must be robust, fast and adaptable. This creates a big challenge for the development of the necessary linguistic base components. In this drill-down, we present several dimensions of this challenge and show how they have been successfully tackled in Ordo.
%0 Book Section
%1 NeumannPaassAkker14p383
%A Neumann, Günter
%A Paaß, Gerhard
%A Akker, David van den
%B Towards the Internet of Services: The THESEUS Research Program
%C Berlin
%D 2014
%E Wahlster, Wolfgang
%E Grallert, Hans-Joachim
%E Wess, Stefan
%E Friedrich, Hermann
%E Widenka, Thomas
%I Springer
%K v1500 springer paper ai dfki semantic web language processing information retrieval text analysis zzz.th
%P 383-392
%R 10.1007/978-3-319-06755-1_29
%T Linguistics to Structure Unstructured Information
%X The extraction of semantics of unstructured documents requires the recognition and classification of textual patterns, their variability, and their inter-relationships, i.e., the analysis of the linguistic structure of documents. Being the integral part of a larger real-life application, this linguistic analysis process must be robust, fast and adaptable. This creates a big challenge for the development of the necessary linguistic base components. In this drill-down, we present several dimensions of this challenge and show how they have been successfully tackled in Ordo.
@incollection{NeumannPaassAkker14p383,
abstract = {The extraction of semantics of unstructured documents requires the recognition and classification of textual patterns, their variability, and their inter-relationships, i.e., the analysis of the linguistic structure of documents. Being the integral part of a larger real-life application, this linguistic analysis process must be robust, fast and adaptable. This creates a big challenge for the development of the necessary linguistic base components. In this drill-down, we present several dimensions of this challenge and show how they have been successfully tackled in Ordo.},
added-at = {2015-01-15T08:41:34.000+0100},
address = {Berlin},
author = {Neumann, G\"{u}nter and Paa{\ss}, Gerhard and Akker, David van den},
biburl = {https://www.bibsonomy.org/bibtex/24fe38f4f6184e4be81ee80735c824b00/flint63},
booktitle = {Towards the Internet of Services: The {THESEUS} Research Program},
crossref = {WahlsterGrallertEtAl2014},
doi = {10.1007/978-3-319-06755-1_29},
editor = {Wahlster, Wolfgang and Grallert, Hans-Joachim and Wess, Stefan and Friedrich, Hermann and Widenka, Thomas},
file = {Springer for Professionals:2014/NeumannPaassAkker14p383.pdf:PDF},
groups = {public},
interhash = {24004879db4a4818eaf6d1d54718ddbf},
intrahash = {4fe38f4f6184e4be81ee80735c824b00},
keywords = {v1500 springer paper ai dfki semantic web language processing information retrieval text analysis zzz.th},
pages = {383-392},
publisher = {Springer},
timestamp = {2018-04-16T12:03:23.000+0200},
title = {Linguistics to Structure Unstructured Information},
username = {flint63},
year = 2014
}