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20162021
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48 citations · 70 across the 5 of their papers we have counts for

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cs.AI2021

Extraction of common conceptual components from multiple ontologies

Luigi Asprino, Valentina Anita Carriero, Valentina Presutti

Understanding large ontologies is still an issue, and has an impact on many ontology engineering tasks. We describe a novel method for identifying and extracting conceptual compone…

cs.AI20201 cited

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019

Nacira Abbas, Kholoud Alghamdi, Mortaza Alinam +71

One of the grand challenges discussed during the Dagstuhl Seminar "Knowledge Graphs: New Directions for Knowledge Representation on the Semantic Web" and described in its report is…

cs.AI202018 cited

The Landscape of Ontology Reuse Approaches

Valentina Anita Carriero, Marilena Daquino, Aldo Gangemi +4

Ontology reuse aims to foster interoperability and facilitate knowledge reuse. Several approaches are typically evaluated by ontology engineers when bootstrapping a new project. Ho…

cs.AI2019

SQuAP-Ont: an Ontology of Software Quality Relational Factors from Financial Systems

Paolo Ciancarini, Andrea Giovanni Nuzzolese, Valentina Presutti +1

Quality, architecture, and process are considered the keystones of software engineering. ISO defines them in three separate standards. However, their interaction has been scarcely…

cs.AI2019

ArCo: the Italian Cultural Heritage Knowledge Graph

Valentina Anita Carriero, Aldo Gangemi, Maria Letizia Mancinelli +4

ArCo is the Italian Cultural Heritage knowledge graph, consisting of a network of seven vocabularies and 169 million triples about 820 thousand cultural entities. It is distributed…

cs.AI2018

Semantic Role Labeling for Knowledge Graph Extraction from Text

Mehwish Alam, Aldo Gangemi, Valentina Presutti +1

This paper introduces TakeFive, a new semantic role labeling method that transforms a text into a frame-oriented knowledge graph. It performs dependency parsing, identifies the wor…