Fusion in stock market prediction: a decade survey on the necessity, recent developments, and potential future directions
A Thakkar, K Chaudhari - Information Fusion, 2021 - Elsevier
Investment in a financial market is aimed at getting higher benefits; this complex market is
influenced by a large number of events wherein the prediction of future market dynamics is …
influenced by a large number of events wherein the prediction of future market dynamics is …
When things matter: A survey on data-centric internet of things
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
The 10 research topics in the Internet of Things
Since the term first coined in 1999 by Kevin Ashton, the Internet of Things (IoT) has gained
significant momentum as a technology to connect physical objects to the Internet and to …
significant momentum as a technology to connect physical objects to the Internet and to …
[图书][B] Real-time linked dataspaces: Enabling data ecosystems for intelligent systems
E Curry - 2020 - library.oapen.org
This open access book explores the dataspace paradigm as a best-effort approach to data
management within data ecosystems. It establishes the theoretical foundations and …
management within data ecosystems. It establishes the theoretical foundations and …
iKnow: Ontology-driven situational awareness for the recognition of activities of daily living
G Meditskos, I Kompatsiaris - Pervasive and Mobile Computing, 2017 - Elsevier
We present iKnow, an ontology-driven framework for semantic situation understanding in
pervasive multi-sensor environments for human activity recognition. iKnow capitalises on the …
pervasive multi-sensor environments for human activity recognition. iKnow capitalises on the …
MetaQ: A knowledge-driven framework for context-aware activity recognition combining SPARQL and OWL 2 activity patterns
In this paper we describe MetaQ, an ontology-based hybrid framework for activity
recognition in Ambient Assisted Living (AAL) environments that combines SPARQL queries …
recognition in Ambient Assisted Living (AAL) environments that combines SPARQL queries …
Streamrule: a nonmonotonic stream reasoning system for the semantic web
A Mileo, A Abdelrahman, S Policarpio… - Web Reasoning and …, 2013 - Springer
Stream reasoning is an emerging research field focused on dynamic processing and
continuous reasoning over huge volumes of streaming data. Finding the right trade-off …
continuous reasoning over huge volumes of streaming data. Finding the right trade-off …
When things matter: A data-centric view of the internet of things
With the recent advances in radio-frequency identification (RFID), low-cost wireless sensor
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
devices, and Web technologies, the Internet of Things (IoT) approach has gained …
Knowledge-driven activity recognition and segmentation using context connections
We propose a knowledge-driven activity recognition and segmentation framework
introducing the notion of context connections. Given an RDF dataset of primitive …
introducing the notion of context connections. Given an RDF dataset of primitive …
CONSERT: Applying semantic web technologies to context modeling in ambient intelligence
Abstract Representation and reasoning about context information is a main research area in
Ambient Intelligence (AmI). Context modeling in such applications is facing openness and …
Ambient Intelligence (AmI). Context modeling in such applications is facing openness and …