2026-09-21T03:04:41Zhttps://iris.unitn.it/oai/requestoai:iris.unitn.it:11572/3677872026-04-03T00:47:26Zcom_11572_237821com_11572_101871col_11572_237822ou_ou00002
Automatic Population of Structured Knowledge Bases via Natural Language Processing
Fossati, Marco
Fossati, Marco
Settore INF/01 - Informatica
The Web has evolved into a huge mine of knowledge carved in different forms, the predominant one still being the free-text document. This motivates the need for Intelligent Web-reading Agents: hypothetically, they would skim through disparate Web sources corpora and generate meaningful structured assertions to fuel Knowledge Bases (KBs).
Ultimately, comprehensive KBs, like Wikidata and DBpedia, play a fundamental role to cope with the issue of information overload. On account of such vision, this thesis depicts a set of systems based on Natural Language Processing (NLP), which take as input unstructured or semi-structured information sources and produce machine-readable statements for a target KB. We implement four main research contributions: (1) a one-step methodology for crowdsourcing the Frame Semantics annotation; (2) a NLP technique implementing the above contribution to perform N-ary Relation Extraction from Wikipedia, thus enriching the target KB with properties; (3) a taxonomy learning strategy to produce an intuitive and exhaustive class hierarchy from the Wikipedia category graph, thus augmenting the target KB with classes; (4) a recommender system that leverages a KB network to yield atypical suggestions with detailed explanations, serving as a proof of work for real-world end users. The outcomes are incorporated into the Italian DBpedia chapter, can be queried through its public endpoint, and/or downloaded as standalone data dumps.
2017
info:eu-repo/semantics/doctoralThesis
https://hdl.handle.net/11572/367787
http://dx.doi.org/10.15168/11572_367787
10.15168/11572_367787
eng
firstpage:1
lastpage:204
numberofpages:204
info:eu-repo/semantics/openAccess
Università degli studi di Trento
place:TRENTO
license:Tutti i diritti riservati (All rights reserved)
license:Tutti i diritti riservati (All rights reserved)
license uri:iris.PRI01