scholarly journals [email protected]: a guided tour of the state of the art and research challenges

2019 ◽  
Vol 18 (5) ◽  
pp. 3049-3082 ◽  
Author(s):  
Nelly Bencomo ◽  
Sebastian Götz ◽  
Hui Song
Keyword(s):  
State Of The Art ◽  
The State ◽  
Research Challenges ◽  
Guided Tour

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.

scholarly journals Autonomous Guided Vehicles for Smart Industries – The State-of-the-Art and Research Challenges

2020 ◽  
pp. 330-343
Author(s):  
Rafal Cupek ◽  
Marek Drewniak ◽  
Marcin Fojcik ◽  
Erik Kyrkjebø ◽  
Jerry Chun-Wei Lin ◽  
...  
Keyword(s):  
State Of The Art ◽  
The State ◽  
Research Challenges

scholarly journals What Can Be Accomplished with the State of the Art in Information Extraction? A Personal View

2018 ◽  
Vol 44 (4) ◽  
pp. 651-658
Author(s):  
Ralph Weischedel ◽  
Elizabeth Boschee
Keyword(s):  
Information Extraction ◽  
State Of The Art ◽  
The State ◽  
Personal View ◽  
Common Features ◽  
Research Challenges ◽  
The Common

Though information extraction (IE) research has more than a 25-year history, F1 scores remain low. Thus, one could question continued investment in IE research. In this article, we present three applications where information extraction of entities, relations, and/or events has been used, and note the common features that seem to have led to success. We also identify key research challenges whose solution seems essential for broader successes. Because a few practical deployments already exist and because breakthroughs on particular challenges would greatly broaden the technology’s deployment, further R&D investments are justified.

E-Government Business Models

2009 ◽  
pp. 1-12 ◽  
Author(s):  
Marijn Janssen ◽  
George Kuk
Keyword(s):  
Business Models ◽  
State Of The Art ◽  
The State ◽  
Service Provisioning ◽  
Basic Premise ◽  
Research Challenges ◽  
Client Involvement ◽  
Service Offering ◽  
The Individual

Stimulated by the need to reduce cost and improve service provisioning and client involvement at the same time, the concept of business models has gained attention in the e-government domain over the last few years. Business models can appear at the individual organization and network level and describes how an entity plans to provide services. The basic premise of business models is that it helps to understand the relation between service offering and other elements and can be used as an instrument to improve service provisioning and lowering cost at the same time. In this chapter an overview of the state-of-the-art of e-government business models, a theory integrating the various elements and research challenges and issues are presented. There is ample need for research and overcoming these challenges result in better leveraging the advantages of business models.

scholarly journals Migration and Welfare Systems – State of the Art and Research Challenges

2017 ◽  
Vol 1 (48) ◽  
pp. 51-70 ◽  
Author(s):  
Igor Jakubiak
Keyword(s):  
International Migration ◽  
State Of The Art ◽  
The State ◽  
Extensive Literature ◽  
Political Debate ◽  
Redistributive Policies ◽  
Research Challenges ◽  
Welfare Systems ◽  
The Relationship

Abstract Immigration is one of the heavily discussed subjects in modern academic and political debate. In recent decades, fiscal effects of international migration remained the centre of interest. The goal of this paper is to review and synthesise the available literature, devoted to the relationship between immigration and welfare systems, in order to present the state of the art in this area and draw conclusions for further research. Despite extensive literature, it is difficult to find an unambiguous answer to the question, whether immigrants are a burden or an asset to the state with redistributive policies. Moreover, some of the assumptions and approaches widely used in presented articles appear too simplistic or even unfounded.

scholarly journals Automated Essay Scoring: A Survey of the State of the Art

2019 ◽  
Author(s):  
Zixuan Ke ◽  
Vincent Ng
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
State Of The Art ◽  
The State ◽  
Educational Values ◽  
Automated Essay Scoring ◽  
Research Challenges ◽  
Essay Scoring ◽  
Made In

Despite being investigated for over 50 years, the task of automated essay scoring is far from being solved. Nevertheless, it continues to draw a lot of attention in the natural language processing community in part because of its commercial and educational values as well as the associated research challenges. This paper presents an overview of the major milestones made in automated essay scoring research since its inception.

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.

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