scholarly journals Building ontologies for different natural languages

2014 ◽  
Vol 11 (2) ◽  
pp. 623-644 ◽  
Author(s):  
Emhimed Alatrish ◽  
Dusan Tosic ◽  
Nikola Milenkovic
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
General Procedure ◽  
Software Tools ◽  
Domain Ontology ◽  
Ontology Development ◽  
The Internet ◽  
Wide Spread ◽  
Natural Languages ◽  
Development Tool

Ontology construction of a certain domain is an important step in applying the Semantic web. A number of software tools adapted for building domain ontologies of most wide-spread natural languages are available, but accomplishing that for any given natural language presents a challenge. Here we propose a semi-automatic procedure to create ontologies for different natural languages. Our approach utilizes various software tools available on the Internet most notably DODDLE-OWL - a domain ontology development tool implemented for English and Japanese languages. By using this tool, WordNet, Prot?g? and XSLT transformations, we propose a general procedure to construct domain ontology for any natural language.

Semantic Representation of Balinese Traditional Dance

2020 ◽  
Vol 8 (4) ◽  
pp. 411
Author(s):  
Irianto Liko Koten ◽  
Cokorda Rai Adi Pramartha
Keyword(s):  
Semantic Web ◽  
Semantic Representation ◽  
Ontology Development ◽  
Digital Form ◽  
Dance Performance ◽  
Development Method ◽  
Development Tool ◽  
Traditional Dance ◽  
The World ◽  
Representation Technique

Bali is an island in Indonesia that is rich in culture, for example, is a traditional dance. The traditional dance performance is diverse from one village to another village in Bali. The traditional Balinese dance knowledge should be captured dan documented well in a digital form so that it can be shared easily to different people and generation across the world. The use of ontology as an information representation technique is the preferred solution in this matter because ontology can be used to enhance the development of semantic applications, especially when dealing with semantic webs. In this project, the ontology was built using Protege ontology development tool.  We follow the methontology ontology development method where this methodology clearly describes each of its activity. In this study, we focus to describe two variants of Balinese traditional dance (Barong dance and Pendet dance). In the future, we expect that more type of dance can be documented using our proposed ontology. Keywords: Balinese Dance, Ontology,Semantic Web

SEMCL

2010 ◽  
Vol 1 (3) ◽  
pp. 1-19 ◽  
Author(s):  
Weisen Guo ◽  
Steven B. Kraines
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Knowledge Sharing ◽  
Language Processing ◽  
Global Knowledge ◽  
Semantic Web Technologies ◽  
Natural Languages ◽  
Web Technologies ◽  
Language Knowledge ◽  
Cross Language

To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP) technologies. The ambiguity of natural language is a problem for NLP; however, semantic web technologies can circumvent the problem by enabling human authors to specify meaning in a computer-interpretable form. In this paper, the authors propose a cross-language semantic model (SEMCL) for knowledge sharing, which uses semantic web technologies to provide a potential solution to the problem of ambiguity. Also, this model can match knowledge descriptions in diverse languages. First, the methods used to support searches at the semantic predicate level are given, and the authors present a cross-language approach. Finally, an implementation of the model for the general engineering domain is discussed, and a scenario describing how the model implementation handles semantic cross-language knowledge sharing is given.

scholarly journals An Overview of Web Intelligence

2012 ◽  
Vol 1 (1) ◽  
pp. 3-27
Author(s):  
أ.د. محمد أديب غنيمي أ.د. محمد أديب غنيمي
Keyword(s):  
Artificial Intelligence ◽  
Information Technology ◽  
Problem Solving ◽  
Semantic Web ◽  
Natural Language ◽  
Deep Web ◽  
Natural Languages ◽  
Web Intelligence ◽  
And Linguistics ◽  
Mathematics And Physics

. This paper gives an overview of Web intelligence which will enable the current Web to reach the Wisdom level by containing Distributed, Integrated, and Active knowledge. In this case it will be capable of performing tasks like problem solving and questionanswering. In addition, it will be capable of processing and understanding natural languages. Web intelligence draws results from a number of disciplines like: Artificial intelligence, Information technology. Mathematics and Physics, Psychology and Linguistics. The paper covers the following topics: Web evolution and architecture, Topics related to Web intelligence, The Deep Web, Semantic computing and the Semantic Web, The Wisdom Web, Precisiated Natural Language.

scholarly journals Detection of Email Spam using Natural Language Processing Based Random Forest Approach

2021 ◽  
Author(s):  
Alanazi Rayan ◽  
Ahmed I. Taloba
Keyword(s):  
Natural Language Processing ◽  
Random Forest ◽  
Natural Language ◽  
Language Processing ◽  
The Internet ◽  
Natural Languages ◽  
Efficient Detection ◽  
Random Node ◽  
A Company ◽  
Email Spam

Abstract An unsolicited means of digital communications in the internet world is the spam email, which could be sent to an individual or a group of individuals or a company. These spam emails may cause serious threat to the user i.e., the email addresses used for any online registrations may be collected by the malignant third parties (spammers) and they expose the genuine user to various kinds of attacks. Another method of spamming is by creating a temporary email register and receive emails that can be terminated after some certain amount of time. This method is well suited for misusing those temporary email addresses for sending free spam emails without revealing the spammers real account details. These attacks create major problems like theft of user credentials, lack of storage, etc. Hence it is essential to introduce an efficient detection mechanismthrough feature extraction and classification for detecting spam emails and temporary email addresses. This can be accomplished through a novel Natural Language Processing based Random Forest (NLP-RF) approach. With the help of our proposed approach, the spam emails are reduced and this method improves the accuracy of spam email filtering, since the use of NLP makes the system to detect the natural languages spoken by people and the Random Forest approach uses multiple decision trees and uses a random node for filtering the spams.

SEMCL

2013 ◽  
pp. 168-187
Author(s):  
Weisen Guo ◽  
Steven B. Kraines
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Knowledge Sharing ◽  
Language Processing ◽  
Global Knowledge ◽  
Semantic Web Technologies ◽  
Natural Languages ◽  
Web Technologies ◽  
Language Knowledge ◽  
Cross Language

To promote global knowledge sharing, one should solve the problem that knowledge representation in diverse natural languages restricts knowledge sharing effectively. Traditional knowledge sharing models are based on natural language processing (NLP) technologies. The ambiguity of natural language is a problem for NLP; however, semantic web technologies can circumvent the problem by enabling human authors to specify meaning in a computer-interpretable form. In this paper, the authors propose a cross-language semantic model (SEMCL) for knowledge sharing, which uses semantic web technologies to provide a potential solution to the problem of ambiguity. Also, this model can match knowledge descriptions in diverse languages. First, the methods used to support searches at the semantic predicate level are given, and the authors present a cross-language approach. Finally, an implementation of the model for the general engineering domain is discussed, and a scenario describing how the model implementation handles semantic cross-language knowledge sharing is given.

Modeling Domain Ontology for Occupational Therapy Resources Using Natural Language Programming (NLP) Technology to Model Domain Ontology of Occupational Therapy Resources

2013 ◽  
Vol 3 (4) ◽  
pp. 104-119
Author(s):  
Ahlam F. Sawsaa ◽  
Joan Lu
Keyword(s):  
Occupational Therapy ◽  
Natural Language ◽  
Regular Expression ◽  
Domain Ontology ◽  
System Component ◽  
Ontology Development ◽  
Model Domain ◽  
Natural Language Programming ◽  
Ontology Design ◽  
Regular Expression Matching

Creation and development of a formal domain ontology of Ocuupational Therapy (OT) requires the prescription and formal evaluation of the results through specific criteria. Methontology of development ontologies was followed to create OTO ontology, and was implemented by using Protégé- OWL. Accuracy of OTO ontology was assessed using a set of ontology design cretria. This paper describes a software engineering approach to model domain ontology for occupational therapy resources (OT) using Natural Language Programming (NLP) technology. The rules were written to annotate the domain concepts using Java Annotation Patterns Engine (JAPE) grammar. It is used to support regular expression matching and thus annotate OT concepts by using the GATE developer tool. This speeds up the time-consuming development of the ontology, which is important for experts in the domain facing time constraints and high workloads. The rules provide significant results: the pattern matching of OT concepts based on the lookup list produced 403 correct concepts and the accuracy was generally higher. Using NLP technique is a good approach to reducing the domain expert's work, and the results can be evaluated. This study contributes to the understanding of ontology development and evaluation methods to address the knowledge gap of using ontology in the decision support system component of occupational therepy.

Linguistic Data Model for Natural Languages and Artificial Intelligence. Part 5. Introduction to Logic

Discourse ◽  
2020 ◽  
Vol 6 (3) ◽  
pp. 109-117
Author(s):  
O. M. Polyakov
Keyword(s):  
Artificial Intelligence ◽  
Mathematical Logic ◽  
Natural Language ◽  
Semantic Interpretation ◽  
General View ◽  
World Model ◽  
Semantic Approach ◽  
Natural Languages ◽  
The World ◽  
Linguistic Aspect

Introduction. The article continues the series of publications on the linguistics of relations (hereinafter R–linguistics) and is devoted to an introduction to the logic of natural language in relation to the approach considered in the series. The problem of natural language logic still remains relevant, since this logic differs significantly from traditional mathematical logic. Moreover, with the appearance of artificial intelligence systems, the importance of this problem only increases. The article analyzes logical problems that prevent the application of classical logic methods to natural languages. This is possible because R-linguistics forms the semantics of a language in the form of world model structures in which language sentences are interpreted.Methodology and sources. The results obtained in the previous parts of the series are used as research tools. To develop the necessary mathematical representations in the field of logic and semantics, the formulated concept of the interpretation operator is used.Results and discussion. The problems that arise when studying the logic of natural language in the framework of R–linguistics are analyzed. These issues are discussed in three aspects: the logical aspect itself; the linguistic aspect; the aspect of correlation with reality. A very General approach to language semantics is considered and semantic axioms of the language are formulated. The problems of the language and its logic related to the most General view of semantics are shown.Conclusion. It is shown that the application of mathematical logic, regardless of its type, to the study of natural language logic faces significant problems. This is a consequence of the inconsistency of existing approaches with the world model. But it is the coherence with the world model that allows us to build a new logical approach. Matching with the model means a semantic approach to logic. Even the most General view of semantics allows to formulate important results about the properties of languages that lack meaning. The simplest examples of semantic interpretation of traditional logic demonstrate its semantic problems (primarily related to negation).

Scientific Knowledge in Sociology: Problem Statement

2019 ◽  
pp. 27-32
Author(s):  
Gennady V. Kanygin ◽  
Maria S. Poltinnikova
Keyword(s):  
Natural Language ◽  
Social Relationships ◽  
Social Communication ◽  
Methodological Problem ◽  
Social Processes ◽  
Wide Spread ◽  
Practical Application ◽  
Problem Statement ◽  
Hidden Knowledge ◽  
Similarities And Differences

The article opens a cycle of publications, which analyze the similarities and differences between the two wide spread modern approaches to the description of society - sociological and informational ones. Both approaches have the same methodological problem to be solved. The problem of expressing hidden knowledge about society that participants in social processes operate with the help of natural language in the course of social communication. In order to harmonize sociological and informational approaches of describing society, it was proposed any natural language statements involved in describing society to be arranged according to the basic principle of information technology - modularity. The proposed way of harmonizing informational and sociological methods of building knowledge about society is invoked by the need to solve two scientific problems formulated in sociology itself - the constructability of social objects and the complexity of social relationships. The paper's methodological proposals are embodied in their computer realization, which practical application is demonstrated in other publications of the authors.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Sign in / Sign up

Export Citation Format

Share Document