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 …
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
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 …
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
Acquiring knowledge from continuous and heterogeneous data streams is a prerequisite for
Internet of Things (IoT) applications. Semantic technologies provide comprehensive tools …
Internet of Things (IoT) applications. Semantic technologies provide comprehensive tools …
Searching and browsing linked data with swse: The semantic web search engine
In this paper, we discuss the architecture and implementation of the Semantic Web Search
Engine (SWSE). Following traditional search engine architecture, SWSE consists of …
Engine (SWSE). Following traditional search engine architecture, SWSE consists of …
Managing big RDF data in clouds: Challenges, opportunities, and solutions
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 …
technologies have significantly enhanced the capability of preserving and publishing …
Parallel materialisation of datalog programs in centralised, main-memory RDF systems
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 …
programs in centralised, main-memory, multi-core RDF systems. Our approach comprises …
WebPIE: A web-scale parallel inference engine using MapReduce
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 …
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
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 …
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
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 …
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
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 …
product from a single data node. However, in many industrial applications, information about …