WiSeNet: Building a Wikipedia-based semantic network with ontologized relations
|WiSeNet: Building a Wikipedia-based semantic network with ontologized relations|
|Author(s)||Moro A., Navigli R.|
|Published in||ACM International Conference Proceeding Series|
|Keyword(s)||information extraction, knowledge acquisition, relation ontologization, semantic network (Extra: Information Extraction, Knowledge acquisition techniques, relation ontologization, Semantic class, Semantic network, Synsets, Wikipedia, Knowledge acquisition, Knowledge management, Semantics, Websites)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of conference papers|
WiSeNet: Building a Wikipedia-based semantic network with ontologized relations is a 2012 conference paper written in English by Moro A., Navigli R. and published in ACM International Conference Proceeding Series.
In this paper we present an approach for building a Wikipedia-based semantic network by integrating Open Information Extraction with Knowledge Acquisition techniques. Our algorithm extracts relation instances from Wikipedia page bodies and ontologizes them by, first, creating sets of synonymous relational phrases, called relation synsets, second, assigning semantic classes to the arguments of these relation synsets and, third, disambiguating the initial relation instances with relation synsets. As a result we obtain WiSeNet, a Wikipedia-based Semantic Network with Wikipedia pages as concepts and labeled, ontologized relations between them.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers. Cited 1 time(s)