S Pouriyeh, M Allahyari, Q Liu, G Cheng… - … Journal of Semantic …, 2019 - World Scientific
Ontologies have been widely used in numerous and varied applications, eg to support data modeling, information integration, and knowledge management. With the increasing size of …
Openly available, collaboratively edited Knowledge Graphs (KGs) are key platforms for the collective management of evolving knowledge. The present work aims to provide an …
R Ma, X Han, L Yan, N Khan, Z Ma - Journal of Intelligent Information …, 2023 - Springer
Abstract RDF (Resource Description Framework), a standard resource description model, is popularized and applied in many application scenarios for its explicit representation of …
Populating ontology graphs represents a long-standing problem for the Semantic Web community. Recent advances in translation-based graph embedding methods for populating …
F Zhang, K Wang, Z Li, J Cheng - Ieee access, 2019 - ieeexplore.ieee.org
With the explosive growth of temporal data, how to query and manage temporal data has become an important research issue. Resource description framework (RDF), as the …
In this paper we present QA 3, a question answering (QA) system over RDF data cubes. The system first tags chunks of text with elements of the knowledge base, and then leverages the …
R Cocco, M Atzori, C Zaniolo - 2019 IEEE 28th International …, 2019 - ieeexplore.ieee.org
We present a Question Answering system aimed to answer natural language questions over the open RDF spending data provided by LinkedSpeding. We propose an original machine …
A Massari, S Peroni - arXiv preprint arXiv:2210.02534, 2022 - arxiv.org
This article introduces a methodology to perform live time-traversal SPARQL queries on RDF datasets and software based on this methodology that offers a solution to manage the …
I Cuevas, A Hogan - MEPDaW@ ISWC, 2020 - ceur-ws.org
We explore solutions for representing archives of versioned RDF data using the SPARQL standard and off-the-shelf engines. We consider six representations of RDF archives based …