Semantic ETL — State-of-the-Art and Open Research Challenges

2017 ◽  
Author(s):  
Jaydeep Chakraborty ◽  
Aparna Padki ◽  
Srividya K. Bansal
Keyword(s):  
State Of The Art ◽  
Research Challenges ◽  
Open Research

Ontologies for information entities: State of the art and open challenges

2021 ◽  
Vol 16 (2) ◽  
pp. 111-135
Author(s):  
Emilio M. Sanfilippo
Keyword(s):  
State Of The Art ◽  
The State ◽  
Literary Studies ◽  
Health Records ◽  
Research Challenges ◽  
Open Research ◽  
Applied Ontology ◽  
Nature Of Information ◽  
Technical Specifications

Information entities are used in ontologies to represent engineering technical specifications, health records, pictures or librarian data about, e.g., narrative fictions, among others. The literature in applied ontology lacks a comparison of the state of the art, and foundational questions on the nature of information entities remain open for research. The purpose of the paper is twofold. First, to compare existing ontologies with both each other and theories proposed in philosophy, semiotics, librarianship, and literary studies in order to understand how the ontologies conceive and model information entities. Second, to discuss some open research challenges that can lead to principled approaches for the treatment of information entities, possibly by getting into account the variety of information entity types found in the literature.

Internet-of-things-based smart environments: state of the art, taxonomy, and open research challenges

2016 ◽  
Vol 23 (5) ◽  
pp. 10-16 ◽  
Author(s):  
Ejaz Ahmed ◽  
Ibrar Yaqoob ◽  
Abdullah Gani ◽  
Muhammad Imran ◽  
Mohsen Guizani
Keyword(s):  
Internet Of Things ◽  
State Of The Art ◽  
Smart Environments ◽  
Research Challenges ◽  
Open Research

scholarly journals A Review on Arabic Sentiment Analysis: State-of-the-Art, Taxonomy and Open Research Challenges

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 162008-162024 ◽  
Author(s):  
Mohamed Elhag Mohamed Abo ◽  
Ram Gopal Raj ◽  
Atika Qazi
Keyword(s):  
Sentiment Analysis ◽  
State Of The Art ◽  
Research Challenges ◽  
Open Research ◽  
Arabic Sentiment Analysis

Survey on Blockchain Networking

2021 ◽  
Vol 54 (5) ◽  
pp. 1-34
Author(s):  
Maya Dotan ◽  
Yvonne-Anne Pignolet ◽  
Stefan Schmid ◽  
Saar Tochner ◽  
Aviv Zohar
Keyword(s):  
Distributed Systems ◽  
Communication Networks ◽  
State Of The Art ◽  
The State ◽  
Neighbor Discovery ◽  
Protocol Stack ◽  
Application Domain ◽  
Empirical Results ◽  
Research Challenges ◽  
Open Research

Blockchains, in general, and cryptocurrencies such as Bitcoin, in particular, are realized using distributed systems and hence critically rely on the performance and security of the interconnecting network. The requirements on these networks and their usage, however, can differ significantly from traditional communication networks, with implications on all layers of the protocol stack. This article is motivated by these differences and, in particular, by the observation that many fundamental design aspects of these networks are not well-understood today. To support the networking community to contribute to this emerging application domain, we present a structured overview of the field, from topology and neighbor discovery, over block and transaction propagation, to sharding and off-chain networks, also reviewing existing empirical results from different measurement studies. In particular, for each of these domains, we provide the context, highlighting differences and commonalities with traditional networks, review the state-of-the-art, and identify open research challenges. Our article can hence also be seen as a call-to-arms to improve the foundation on top of which blockchains are built.

The Big Data Era

2021 ◽  
pp. 87-103
Author(s):  
Maria K. Krommyda ◽  
Verena Kantere
Keyword(s):  
Big Data ◽  
State Of The Art ◽  
Large Datasets ◽  
The State ◽  
Data Exploration ◽  
Everyday Activities ◽  
Research Challenges ◽  
Open Research ◽  
Big Data Applications ◽  
Scientific Fields

Large datasets pertaining to many scientific fields and everyday activities are becoming available at an increasing rate. Processing, analyzing, and understanding the information that they offer poses significant technical challenges. There are many efforts dedicated to the development of big data exploration, analysis, and visualization applications that will improve the value of the information extracted from these datasets. An analysis of the state-of-the-art in these applications is presented here along with open research challenges that have not yet been tackled sufficiently. Also, specific domains where big data applications are needed are presented, and unique challenges are identified.

scholarly journals Optimal Transport for Deep Generative Models: State of the Art and Research Challenges

2021 ◽  
Author(s):  
Viet Huynh ◽  
Dinh Phung ◽  
He Zhao
Keyword(s):  
Systematic Review ◽  
Eighteenth Century ◽  
Transport Theory ◽  
Optimal Transport ◽  
State Of The Art ◽  
Generative Models ◽  
Comprehensive Overview ◽  
Research Challenges ◽  
Open Research ◽  
Optimal Transport Theory

Optimal transport has a long history in mathematics which was proposed by Gaspard Monge in the eighteenth century (Monge, 1781). However, until recently, advances in optimal transport theory pave the way for its use in the AI community, particularly for formulating deep generative models. In this paper, we provide a comprehensive overview of the literature in the field of deep generative models using optimal transport theory with an aim of providing a systematic review as well as outstanding problems and more importantly, open research opportunities to use the tools from the established optimal transport theory in the deep generative model domain.

Towards next generation coordination infrastructures

2015 ◽  
Vol 30 (4) ◽  
pp. 435-453 ◽  
Author(s):  
Juan A. Rodriguez-Aguilar ◽  
Carles Sierra ◽  
Josep Ll. Arcos ◽  
Maite Lopez-Sanchez ◽  
Inmaculada Rodriguez
Keyword(s):  
Multiagent Systems ◽  
State Of The Art ◽  
Human Interaction ◽  
Agent Technology ◽  
Technology Research ◽  
Next Generation ◽  
Research Issues ◽  
Research Challenges ◽  
Open Research ◽  
On Line

AbstractCoordination infrastructures play a central role in the engineering of multiagent systems. Since the advent of agent technology, research on coordination infrastructures has produced a significant number of infrastructures with varying features. In this paper, we review the the state-of-the-art coordination infrastructures with the purpose of identifying open research challenges that next generation coordination infrastructures should address. Our analysis concludes that next generation coordination infrastructures must address a number of challenges: (i) to becomesocially aware, by facilitating human interaction within a MAS; (ii) to assist agents in their decision making by providingdecision supportthat helps them reduce the scope of reasoning and facilitates the achievement of their goals; and (iii) to increaseopennessto support on-line, fully decentralised design and execution. Furthermore, we identify some promising approaches in the literature, together with the research issues worth investigating, to cope with such challenges.

scholarly journals Photovoltaics Enabling Sustainable Energy Communities: Technological Drivers and Emerging Markets

Energies ◽  
2021 ◽  
Vol 14 (7) ◽  
pp. 1862
Author(s):  
Alexandros-Georgios Chronis ◽  
Foivos Palaiogiannis ◽  
Iasonas Kouveliotis-Lysikatos ◽  
Panos Kotsampopoulos ◽  
Nikos Hatziargyriou
Keyword(s):  
State Of The Art ◽  
Research Question ◽  
Economic Benefits ◽  
Energy Market ◽  
Small Scale ◽  
Local Energy ◽  
Community Members ◽  
Open Research ◽  
Energy Community

In this paper, we investigate the economic benefits of an energy community investing in small-scale photovoltaics (PVs) when local energy trading is operated amongst the community members. The motivation stems from the open research question on whether a community-operated local energy market can enhance the investment feasibility of behind-the-meter small-scale PVs installed by energy community members. Firstly, a review of the models, mechanisms and concepts required for framing the relevant concepts is conducted, while a clarification of nuances at important terms is attempted. Next, a tool for the investigation of the economic benefits of operating a local energy market in the context of an energy community is developed. We design the local energy market using state-of-the-art formulations, modified according to the requirements of the case study. The model is applied to an energy community that is currently under formation in a Greek municipality. From the various simulations that were conducted, a series of generalizable conclusions are extracted.

Sign in / Sign up

Export Citation Format

Share Document