Ontology matching: state of the art and future challenges

P Shvaiko, J Euzenat - IEEE Transactions on knowledge and …, 2011 - ieeexplore.ieee.org
After years of research on ontology matching, it is reasonable to consider several questions:
is the field of ontology matching still making progress? Is this progress significant enough to …

Semantics for the Internet of Things: early progress and back to the future

P Barnaghi, W Wang, C Henson… - International Journal on …, 2012 - igi-global.com
Abstract The Internet of Things (IoT) has recently received considerable interest from both
academia and industry that are working on technologies to develop the future Internet. It is a …

Semantic reasoning for context-aware internet of things applications

AI Maarala, X Su, J Riekki - IEEE Internet of Things Journal, 2016 - ieeexplore.ieee.org
Acquiring knowledge from continuous and heterogeneous data streams is a prerequisite for
Internet of Things (IoT) applications. Semantic technologies provide comprehensive tools …

Searching and browsing linked data with swse: The semantic web search engine

A Hogan, A Harth, J Umbrich, S Kinsella… - Journal of web …, 2011 - Elsevier
In this paper, we discuss the architecture and implementation of the Semantic Web Search
Engine (SWSE). Following traditional search engine architecture, SWSE consists of …

Managing big RDF data in clouds: Challenges, opportunities, and solutions

NM Elzein, MA Majid, IAT Hashem, I Yaqoob… - Sustainable Cities and …, 2018 - Elsevier
The expansion of the services of the Semantic Web and the evolution of cloud computing
technologies have significantly enhanced the capability of preserving and publishing …

Parallel materialisation of datalog programs in centralised, main-memory RDF systems

B Motik, Y Nenov, R Piro, I Horrocks… - Proceedings of the AAAI …, 2014 - ojs.aaai.org
We present a novel approach to parallel materialisation (ie, fixpoint computation) of datalog
programs in centralised, main-memory, multi-core RDF systems. Our approach comprises …

WebPIE: A web-scale parallel inference engine using MapReduce

J Urbani, S Kotoulas, J Maassen… - Journal of Web …, 2012 - Elsevier
The large amount of Semantic Web data and its fast growth pose a significant computational
challenge in performing efficient and scalable reasoning. On a large scale, the resources of …

OWL reasoning with WebPIE: calculating the closure of 100 billion triples

J Urbani, S Kotoulas, J Maassen… - The Semantic Web …, 2010 - Springer
In previous work we have shown that the MapReduce framework for distributed computation
can be deployed for highly scalable inference over RDF graphs under the RDF Schema …

[BOOK][B] RDF database systems: triples storage and SPARQL query processing

O Curé, G Blin - 2014 - books.google.com
RDF Database Systems is a cutting-edge guide that distills everything you need to know to
effectively use or design an RDF database. This book starts with the basics of linked open …

An architecture for aggregating information from distributed data nodes for industrial internet of things

T Zhu, S Dhelim, Z Zhou, S Yang… - Cyber-Enabled …, 2019 - taylorfrancis.com
The current Internet of Things (IoT) has made it very convenient to obtain information about a
product from a single data node. However, in many industrial applications, information about …