scholarly journals Review of Tools for Semantics Extraction: Application in Tsunami Research Domain

Information ◽  
2021 ◽  
Vol 13 (1) ◽  
pp. 4
Author(s):  
František Babič ◽  
Vladimír Bureš ◽  
Pavel Čech ◽  
Martina Husáková ◽  
Peter Mikulecký ◽  
...  
Keyword(s):  
Intelligent Agents ◽  
Ontology Learning ◽  
Journal Articles ◽  
Scientific Databases ◽  
Domain Specific ◽  
Layer Cake ◽  
Research Activities ◽  
Speed Up ◽  
Express Information ◽  
Research Domain

Immense numbers of textual documents are available in a digital form. Research activities are focused on methods of how to speed up their processing to avoid information overloading or to provide formal structures for the problem solving or decision making of intelligent agents. Ontology learning is one of the directions which contributes to all of these activities. The main aim of the ontology learning is to semi-automatically, or fully automatically, extract ontologies—formal structures able to express information or knowledge. The primary motivation behind this paper is to facilitate the processing of a large collection of papers focused on disaster management, especially on tsunami research, using the ontology learning. Various tools of ontology learning are mentioned in the literature at present. The main aim of the paper is to uncover these tools, i.e., to find out which of these tools can be practically used for ontology learning in the tsunami application domain. Specific criteria are predefined for their evaluation, with respect to the “Ontology learning layer cake”, which introduces the fundamental phases of ontology learning. ScienceDirect and Web of Science scientific databases are explored, and various solutions for semantics extraction are manually “mined” from the journal articles. ProgrammableWeb site is used for exploration of the tools, frameworks, or APIs applied for the same purpose. Statistics answer the question of which tools are mostly mentioned in these journal articles and on the website. These tools are then investigated more thoroughly, and conclusions about their usage are made with respect to the tsunami domain, for which the tools are tested. Results are not satisfactory because only a limited number of tools can be practically used for ontology learning at present.

scholarly journals NUMERICAL ANALYSIS OF A DOUBLE SHEAR STANDARD BOLTED CONNECTION CONSIDERING MONOTONIC LOADINGS

2017 ◽  
Vol 9 (4) ◽  
pp. 183-194 ◽  
Author(s):  
Mariana Ferreira RODRIGUES ◽  
José CORREIA ◽  
Bruno PEDROSA ◽  
Abílio DE JESUS ◽  
Bruno CARVALHO ◽  
...  
Keyword(s):  
Numerical Models ◽  
Bolted Connections ◽  
Bolted Connection ◽  
Double Shear ◽  
Steel Connections ◽  
Research Activities ◽  
Linear Behaviour ◽  
Speed Up ◽  
Monotonic Loads ◽  
Globalized World

The behaviour of standard bolted steel connections submitted to monotonic loads, through the use of numerical models, is presented in the current paper. The bolted connections allow speed up constructive processes in an increasingly competitive and globalized world in which the costs are a decisive factor in the development of a project. The use of computational tools in the analysis of bolted connections becomes determinant, mainly for new solutions or solutions less explored in terms of design codes. Throughout the years, bolted connections have been suffering transformations resulting from research activities performed by many authors. Rivets have been replaced by bolts, the main achievement being the pre-stressed bolts. Methodologies based on finite element analyses were proposed for double shear bolted connection. The non-linear behaviour of these connections is investigated and their performances are compared. In the numerical modelling of the bolted connection, linear elastic and elastoplastic analyzes reveal that there are two slip levels associated with local non-linearities caused by the contact pairs, which vary with clamping stresses.

scholarly journals HETEROMORPHA ARBORESCENS: A REVIEW OF ITS BOTANY, MEDICINAL USES, AND PHARMACOLOGICAL PROPERTIES

2018 ◽  
Vol 11 (11) ◽  
pp. 75 ◽  
Author(s):  
Alfred Maroyi
Keyword(s):  
Journal Articles ◽  
Medicinal Uses ◽  
Respiratory Problems ◽  
Scientific Databases ◽  
Plant Parts ◽  
Phytochemical Compounds ◽  
Intestinal Worms ◽  
The University ◽  
Conference Papers ◽  
Important Medicinal Plant

Heteromorpha arborescens is an important medicinal plant species throughout its distributional range in tropical Africa. This study evaluated the botany, medicinal uses, and pharmacological activities of H. arborescens. Literature focusing on the botany, phytochemical, pharmacological, and toxicological properties of H. arborescens were obtained from scientific databases such as SCOPUS, Science Direct, PubMed, SciFinder, Medline, and Google Scholar. Pre-electronic literature sources such as book chapters, books, journal articles, conference papers, and other scientific documents were obtained from the University library. Literature search revealed that H. arborescens is used as an aphrodisiac, as herbal medicine for shortness of breath, intestinal worms, inflammation, pain, respiratory problems, skin infections, headache, fever, and malaria. Pharmacological studies of compounds and H. arborescens extracts revealed anthelmintic, antiarthritic, antibacterial, antifungal, anti-inflammatory, antimycobacterial, antinociceptive, antioxidant, antipeptic ulcer, anti-scabies, antispasmodic, antiviral, cytotoxicity, genotoxicity, and uterotonic activities. More detailed research is needed aimed at assessing phytochemical, pharmacological, and toxicological properties of different plant parts and phytochemical compounds isolated from the species.

Intranet Exploitation of Social Network Knowledge Intelligence

2017 ◽  
pp. 273-298
Author(s):  
Mark Alan Underwood
Keyword(s):  
Social Networks ◽  
Big Data ◽  
Social Network ◽  
Life Cycle ◽  
Online Social Networks ◽  
Intelligent Agents ◽  
Process Mining ◽  
Just In Time ◽  
Domain Specific ◽  
Social Graphs

Intranets are almost as old as the concept of a web site. More than twenty-five years ago the text Business Data Communications closed with a discussion of intranets (Stallings, 1990). Underlying technology improvements in intranets have been incremental; intranets were never seen as killer developments. Yet the popularity of Online Social Networks (OSNs) has led to increased interest in the part OSNs play – or could play – in using intranets to foster knowledge management. This chapter reviews research into how social graphs for an enterprise, team or other collaboration group interacts with the ways intranets have been used to display, collect, curate and disseminate information over the knowledge life cycle. Future roles that OSN-aware intranets could play in emerging technologies, such as process mining, elicitation methods, domain-specific intelligent agents, big data, and just-in-time learning are examined.

Multi-Agent Architecture for Knowledge-Driven Decision Support

2010 ◽  
pp. 28-46
Author(s):  
Rahul Singh
Keyword(s):  
Decision Support ◽  
Intelligent Agents ◽  
Agent Architecture ◽  
Specific Knowledge ◽  
Domain Specific ◽  
Knowledge Based ◽  
Intelligent Software Agents ◽  
Intelligent Decision ◽  
Domain Specific Knowledge ◽  
Multi Agent

Organizations use knowledge-driven systems to deliver problem-specific knowledge over Internet-based distributed platforms to decision-makers. Increasingly, artificial intelligence (AI) techniques for knowledge representation are being used to deliver knowledge-driven decision support in multiple forms. In this chapter, we present an Architecture for knowledge-based decision support, delivered through a Multi-Agent Architecture. We illustrate how to represent and exchange domain-specific knowledge in XML-format through intelligent agents to create exchange and use knowledge to provide intelligent decision support. We show the integration of knowledge discovery techniques to create knowledge from organizational data; and knowledge repositories (KR) to store, manage and use data by intelligent software agents for effective knowledge-driven decision support. Implementation details of the architecture, its business implications and directions for further research are discussed.

Evaluation of Research Trends in Knowledge Management: A Hybrid Analysis through Burst Detection and Text Clustering

2019 ◽  
Vol 18 (04) ◽  
pp. 1950043 ◽  
Author(s):  
Babak Sohrabi ◽  
Iman Raeesi Vanani ◽  
Seyed Mohammad Jafar Jalali ◽  
Ehsan Abedin
Keyword(s):  
Knowledge Management ◽  
Web Of Science ◽  
Research Priorities ◽  
Text Clustering ◽  
Journal Articles ◽  
Hybrid Analysis ◽  
Burst Detection ◽  
Publication Data ◽  
History Of ◽  
Research Domain

This paper aims to analyze the content of validated journal articles related to Knowledge Management (KM) in more than 18,000 papers of the Web of Science (WoS) database and then provide the most recent specific trends in KM field using text mining and burst detection to help researchers invest in the most challenging and fruitful areas of KM research domain. The method for finding the recent trend of KM includes the following steps: Conducting searches and collecting the publication data from WoS; using a hybrid analysis through burst detection and text clustering; also enriching and analyzing the results in order to achieve an overall perspective about the KM position and the popularity among researchers. This study could be valuable for researchers and KM specialists as well as managers as they may study the history of a subject by getting the structure of its scientific productions, so as to purposefully plan and determine the research priorities in KM.

scholarly journals Search for Answers in Domain Specific Supported by Intelligent Agents

2018 ◽  
Vol 10 (4) ◽  
pp. 39-47
Author(s):  
Fernando Zacarias ◽  
Rosalba Cuapa ◽  
Guillermo De Ita ◽  
Miguel Bracamontes
Keyword(s):  
Intelligent Agents ◽  
Domain Specific

An Event Ontology Model Research for Environmental Pollution Emergencies

2020 ◽  
Vol 11 (4) ◽  
pp. 38-56
Author(s):  
Sha Wang ◽  
Qiong Peng ◽  
Hua Liang
Keyword(s):  
Environmental Pollution ◽  
Description Logic ◽  
Model Structure ◽  
Domain Specific ◽  
Ontology Model ◽  
Model Research ◽  
Speed Up ◽  
Event Model ◽  
Event Ontology ◽  
Process Event

In the modeling process, event ontology design pattern (EODP) is a solution to recurring the same error scheme. It can speed up the construction of event ontology and avoid design ambiguity. A general event model structure is proposed in this paper. In the absence of domain-specific vocabulary, the model structure can represent the most general event information in web text. Based on this, the concept of event ontology mode and the method of extracting event ontology mode are proposed, and the method is used to establish the environmental pollution emergency ontology mode based on shared vocabulary. Finally, the ontology model of environmental pollution emergencies was formalized by using description logic, and the domain event ontology model was implemented by using the event ontology model to verify its validity and conceptual consistency.

New Development of Supersonic Surface Grinding Machine Tool with a Linear-Motor-Driven Table System

2016 ◽  
Vol 1136 ◽  
pp. 667-672
Author(s):  
Lu Yang ◽  
Yu Can Fu ◽  
Jiu Hua Xu ◽  
Yong Tao Liu
Keyword(s):  
Machine Tool ◽  
High Speed ◽  
High Performance ◽  
Linear Motor ◽  
Grinding Wheel ◽  
Research Activities ◽  
High Speed Grinding ◽  
Grinding Mechanism ◽  
Speed Up ◽  
Grinding Machine

Ultra-high speed grinding (UHSG) is a significant and promising machining technology in grinding hard-to-cut materials. To find out the aerodynamics of the grinding wheel body when the airflow field has subsonic, transonic, and supersonic speed characteristics and clarify the corresponding influence on the grinding mechanism, the study is conducted to develop a supersonic grinding machine tool that is capable of being operated at extreme wheel speed up to 450 m/s and meanwhile accompanying with high grinding capability. In accordance with the main design objectives, a high performance grinding motorized spindle with maximum rotational speed 36000r/min and maximum power 28kW is developed. The linear motor feed driven system is also exploited to satisfy the requirement of maximum reciprocating speed up to 2m/s. Following plenty of specific design and performance analysis works, a prototype of supersonic grinding machine tool is finally developed. In the end, this paper also puts forward a number of further studies and prospective for the research activities on basis of the developed grinder.

Logic-based reasoning about actions and plans in artificial intelligence

1993 ◽  
Vol 8 (2) ◽  
pp. 91-120 ◽  
Author(s):  
Huaming Lee ◽  
James Tannock ◽  
Jon Sims Williams
Keyword(s):  
Artificial Intelligence ◽  
Problem Solving ◽  
Intelligent Agents ◽  
Major Research ◽  
Theoretical Frameworks ◽  
Reasoning About Actions ◽  
Domain Independent ◽  
Rational Behaviour ◽  
Research Domain

AbstractReasoning about actions and plans is a vital aspect of the rational behaviour of intelligent agents, and hence represents a major research domain in artificial intelligence. Much work has been undertaken to develop logic-based formalisms and problem solving procedures for plan representation and plan synthesis. This paper consists of a survey of various paradigms for reasoning about actions and plans in artificial intelligence. Attention is focused on the logic-based theoretical frameworks which have built a formal foundation for the domain-independent approaches to the general principles of reasoning about actions and plans.

scholarly journals Semantic Annotation of Resources of Distance Learning Based Intelligent Agents

2014 ◽  
Vol 4 (1) ◽  
pp. 69
Author(s):  
Chekry Abderrahman ◽  
Oriche Aziz ◽  
Khaldi Mohamed
Keyword(s):  
Distance Education ◽  
Distance Learning ◽  
Intelligent Agents ◽  
Semantic Annotation ◽  
Learning Objects ◽  
Ontology Learning ◽  
Electronic Documents ◽  
Annotation System ◽  
Semantic Annotations ◽  
E Learning

This paper presents a system based on intelligent agents for the semantic annotation of learning resources taking into account the context of training. Semantic annotations systems rarely treat existing semantic annotations in the field of distance education (e-learning), most researchers in the field of education limits annotations to specific cases (teacher annotation, learner annotation, annotation of electronic documents etc.) these annotations are edited by users with an annotation tools, by cons in our approach, we propose a semantic annotation system based on intelligent agents that manage semantic annotations of educational resources, these annotations are guided by domain ontologies and ontology applications. We believe that the original resource annotations, a storehouse of learning objects standardized by LOM profile, these learning objects are managed using an ontology learning.

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