@inproceedings{12f29a1e658c428a9cc2cb59536cc345,
title = "Linguistic patterns for information extraction in OntoCmaps",
abstract = "Linguistic patterns have proven their importance for the knowledge engineering field especially with the ever-increasing amount of available data. This is especially true for the Semantic Web, which relies on a formalization of knowledge into triples and linked data. This paper presents a number of syntactic patterns, based on dependency grammars, which output triples useful for the ontology learning task. Our experimental results show that these patterns are a good starting base for text mining initiatives in general and ontology learning in particular.",
keywords = "Dependency grammars, Knowledge extraction, Linguistic patterns, Ontology learning, Triples",
author = "Amal Zouaq and Dragan Gasevic and Marek Hatala",
year = "2012",
month = dec,
day = "1",
language = "English",
volume = "929",
series = "CEUR Workshop Proceedings",
publisher = "Rheinisch-Westfaelische Technische Hochschule Aachen * Lehrstuhl Informatik V",
pages = "61--72",
booktitle = "Proceedings of the 3rd Canadian Semantic Web Symposium",
note = "3rd Workshop on Ontology Patterns, WOP 2012 - In Conjunction with the 11th International Semantic Web Conference 2012, ISWC 2012 ; Conference date: 12-11-2012 Through 12-11-2012",
}