An unsupervised data-driven method to discover equivalent relations in large Linked Datasets

Z Zhang, AL Gentile, E Blomqvist, I Augenstein… - Semantic …, 2017 - content.iospress.com
This article addresses a number of limitations of state-of-the-art methods of Ontology
Alignment: 1) they primarily address concepts and entities while relations are less well …

[PDF][PDF] Mining equivalent relations from linked data

Z Zhang, AL Gentile, I Augenstein… - Proceedings of the …, 2013 - aclanthology.org
Linking heterogeneous resources is a major research challenge in the Semantic Web. This
paper studies the task of mining equivalent relations from Linked Data, which was …

Enhancing the conciseness of linked data by discovering synonym predicates

S Issa, F Hamdi, SS Cherfi - … , KSEM 2019, Athens, Greece, August 28–30 …, 2019 - Springer
In the meantime of the rapidly growing of Linked Data, the quality of these datasets is yet a
challenge. A close examination of the quality of this data could be very critical, especially if …

Text and speech basics

U Kamath, J Liu, J Whitaker, U Kamath, J Liu… - Deep Learning for NLP …, 2019 - Springer
Text and Speech Basics | SpringerLink Skip to main content Advertisement SpringerLink
Account Menu Find a journal Publish with us Track your research Search Cart Book cover …

From logical forms to SPARQL query with GETARUNS

R Tripodi, R Delmonte - … Challenges in Distributed Information Filtering and …, 2013 - Springer
We present a system for Question Answering which computes a prospective answer from
Logical Forms produced by a full-fledged NLP for text understanding, and then maps the …

[PDF][PDF] Investigando Similaridade para Diferenciar Instâncias de

RO Caus, JC dos Reis - ceur-ws.org
This investigation studies how to differentiate resources in a knowledge graph (KG) that
stores compatibility relations between products and vehicles in automotive domain of an e …

[PDF][PDF] A Semantic similarity measure for predicates in Linked Data

R Irny, PS Kumar - semantic-web-journal.net
Semantic similarity measures are used in several applications like link-predication, entity
summarization, knowledge-base completion, clustering. In this paper, we propose a new …

[图书][B] Integrating Linked Data Search Results Using Statistical Relational Learning Approaches

D Alshukaili - 2017 - search.proquest.com
Linked Data (LD) follows the web in providing low barriers to publication, and in deploying
web-scale keyword search as a central way of identifying relevant data. As in the web …

[PDF][PDF] Interpreting linked data search results using Markov Logic

D Al Shekaili, A Fernandes… - … on Linked Web …, 2015 - research.manchester.ac.uk
Linked Data (LD) follows the web in providing low barriers to publication, and in deploying
web-scale keyword search as a central way of identifying relevant data. As in the web …

[PDF][PDF] EQUATER-An Unsupervised Data-driven Method to Discover Equivalent Relations in Large Linked Datasets

Z Zhanga, AL Gentilea, EBIAF Ciravegnaa - semantic-web-journal.net
The Web of Data is currently undergoing an unprecedented level of growth thanks to the
Linked Open Data effort. One escalated issue is the increasing level of heterogeneity in the …