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. © 2012 ACM.
WiSeNet: Building a Wikipedia-based semantic network with ontologized relations / Moro, Andrea; Navigli, Roberto. - STAMPA. - (2012), pp. 1672-1676. (Intervento presentato al convegno 21st ACM International Conference on Information and Knowledge Management, CIKM 2012 tenutosi a Maui, HI nel 29 October 2012 through 2 November 2012) [10.1145/2396761.2398495].
WiSeNet: Building a Wikipedia-based semantic network with ontologized relations
MORO, ANDREA;NAVIGLI, ROBERTO
2012
Abstract
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. © 2012 ACM.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
