Open AccessConstructing Integrated Corpus and Lexicon Models for Multi-Layer Annotation in OWL DL
Author(s) -
Aljoscha Burchardt,
Sebastian Padó,
Dennis Spohr,
Anette Frank,
Ulrich Heid
Publication year - 2008
Publication title -
linguistic issues in language technology
Language(s) - English
Resource type - Journals
eISSN - 1945-3590
pISSN - 1945-3604
DOI - 10.33011/lilt.v1i.1191
Subject(s) - computer science , lexicon , natural language processing , annotation , artificial intelligence , xml , graph , representation (politics) , world wide web , theoretical computer science , politics , political science , law
We present a general approach to formally modelling corpora with multi-layered annotation in a typed logical representation language, OWL DL. By defining abstractions over the corpus data, we can generalise from a large set of individual corpus annotations, thereby inducing a lexicon model. The resulting combined corpus and lexicon model can be interpreted as a graph structure that offers flexible querying functionality beyond current XML-based query languages. Its powerful methods for characterising and checking consistency can be used for incremental model refinement. In addition, the formalisation in a graph-based structure offers the means of defining flexible lexicon views over the corpus data. These views can be tailored for linguistic inspection or to define clean interfaces with other linguistic resources. We illustrate our approach by applying it to the syntactically and semantically annotated SALSA/TIGER corpus, a collection of German newspaper text.