Named entity extraction for knowledge graphs: A literature overview

T Al-Moslmi, MG Ocaña, AL Opdahl, C Veres - IEEE Access, 2020 - ieeexplore.ieee.org
An enormous amount of digital information is expressed as natural-language (NL) text that is
not easily processable by computers. Knowledge Graphs (KG) offer a widely used format for …

KGen: a knowledge graph generator from biomedical scientific literature

A Rossanez, JC Dos Reis, RS Torres… - BMC medical informatics …, 2020 - Springer
Background Knowledge is often produced from data generated in scientific investigations.
An ever-growing number of scientific studies in several domains result into a massive …

Frame-based ontology population with PIKES

F Corcoglioniti, M Rospocher… - IEEE Transactions on …, 2016 - ieeexplore.ieee.org
We present an approach for ontology population from natural language English texts that
extracts RDF triples according to FrameBase, a Semantic Web ontology derived from …

Tint 2.0: an All-inclusive Suite for NLP in Italian

A Palmero Aprosio, G Moretti - … of the Fifth Italian Conference on …, 2018 - cris.fbk.eu
In this we paper present Tint 2.0, an open-source, fast and extendable Natural Language
Processing suite for Italian based on Stanford CoreNLP. The new release includes some …

Knowledge extraction for information retrieval

F Corcoglioniti, M Dragoni, M Rospocher… - The Semantic Web …, 2016 - Springer
Document retrieval is the task of returning relevant textual resources for a given user query.
In this paper, we investigate whether the semantic analysis of the query and the documents …

Italy goes to Stanford: a collection of CoreNLP modules for Italian

AP Aprosio, G Moretti - arXiv preprint arXiv:1609.06204, 2016 - arxiv.org
arXiv:1609.06204v2 [cs.CL] 13 Apr 2017 Page 1 arXiv:1609.06204v2 [cs.CL] 13 Apr 2017 Italy
goes to Stanford: a collection of CoreNLP modules for Italian Alessio Palmero Aprosio …

Unfolding social content evolution along time and semantics

C De Maio, G Fenza, V Loia, F Orciuoli - Future Generation Computer …, 2017 - Elsevier
In the context of social media, the unstructured and dynamic nature of exchanged data and
the information overload contribute to the growth of the number of research works proposing …

Mining scholarly data for fine-grained knowledge graph construction

D Buscaldi, D Dessì, E Motta, F Osborne… - CEUR Workshop …, 2019 - oro.open.ac.uk
Knowledge graphs (KG) are large network of entities and relationships, tipically expressed
as RDF triples, relevant to a specific domain or an organization. Scientific Knowledge …

Comprehensive Review on Semantic Information Retrieval and Ontology Engineering

S Sharma, S Jain - arXiv preprint arXiv:2307.13427, 2023 - arxiv.org
Situation awareness is a crucial cognitive skill that enables individuals to perceive,
comprehend, and project the current state of their environment accurately. It involves being …

PreMOn: a lemon extension for exposing predicate models as Linked Data

F Corcoglioniti, M Rospocher, AP Aprosio… - Proceedings of the …, 2016 - aclanthology.org
We introduce PreMOn (predicate model for ontologies), a linguistic resource for exposing
predicate models (PropBank, NomBank, VerbNet, and FrameNet) and mappings between …