scholarly journals Rancang Bangun Plugin Protégé Menggunakan Ekspresi SPARQL-DL Dengan Masukan Bahasa Alami

2017 ◽  
Vol 11 (2) ◽  
pp. 155
Author(s):  
Muhammad Fahrurrozi ◽  
Azhari SN
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Sparql Query ◽  
Web Page ◽  
Object Property ◽  
Reasoning Abilities ◽  
Ontology Language ◽  
Query Structure ◽  
Logic Description ◽  
The Web

Semantic web is a technology that allows us to build a knowledge base or ontology for the information of the web page can be understood by computers. One software for building ontology-based semantic web is a protégé. Protege allows developers to develop an ontology with an expression of logic description. Protégé provides a plugin such as DL-Query and SPARQL-Query to display information that involve expression of class, property and individual in the ontology. The problem that then arises is DL-plugin Query only able to process the rules that involve expression of class to any object property, despite being equipped with the function of reasoning. while the SPARQL-Query plugin does not have reasoning abilities such as DL-Query plugin although the SPARQL-Query plugin can query memperoses rules involving class, property and individual. This research resulted in a new plugin using SPARQL-DL with input natural language as a protégé not provide a plugin with input natural language to see results from the combined expression-expression contained in the ontology that allows developers to view information ontology language that is easier to understand without having think of SPARQL query structure is complicated.

Rule-Based OWL Ontology Reasoning Systems

2010 ◽  
pp. 124-148 ◽  
Author(s):  
Georgios Meditskos ◽  
Nick Bassiliades
Keyword(s):  
Semantic Web ◽  
Description Logic ◽  
Formal Semantics ◽  
Web Ontology Language ◽  
Rule Engine ◽  
Basic Principles ◽  
Rule Based ◽  
Ontology Language ◽  
Open Nature ◽  
The Web

This chapter is focused on the basic principles behind the utilization of rules in order to perform reasoning about the Web Ontology Language (OWL), a Description Logic-based language that is the W3C recommendation for creating and sharing ontologies in the Semantic Web. More precisely, we elaborate on the entailment-based OWL reasoning (EBOR) paradigm, which is based on the utilization of RDF/ RDFS and OWL entailment rules that run on a rule engine, applying the formal semantics of the ontology language. To this end, seven EBOR systems are described and compared, analyzing the different approaches. Despite the closed rule environment, which comes in contrast with the open nature of the Semantic Web, and the fact that OWL semantics are partially mapped into rules, the rule-based OWL reasoning paradigm can give great potentials in the Semantic Web, enabling the utilization of rule engines on top of ontology information.

OWL-Based Description for Agent

2011 ◽  
Vol 217-218 ◽  
pp. 1218-1223
Author(s):  
Gang Wang ◽  
Jie Lin ◽  
Qing Qi Long ◽  
Zhi Juan Hu
Keyword(s):  
Semantic Web ◽  
Early Development ◽  
Formal Specification ◽  
Ontology Development ◽  
Web Ontology Language ◽  
Development Stages ◽  
Ontology Language ◽  
Development Tools ◽  
Web Community ◽  
The Web

This paper presents a detailed formal specification of agents and their properties and abilities,based on the Web Ontology Language (OWL). It allows an agent to be specified entirely using standard mark-up languages from the Semantic Web community, namely RDF, RDF Schemaand OWL. The basic agent components are identified and their implementation using ontology development tools is described.The description improves consistency, interoperability and maintainability of agent program. Therefore,the design errors in the early development stages could be efficiently detected and avoided.

ENHANCING OWL ONTOLOGIES WITH RELATION SEMANTICS

2008 ◽  
Vol 18 (03) ◽  
pp. 327-356 ◽  
Author(s):  
CARTIK R. KOTHARI ◽  
DAVID J. RUSSOMANNO
Keyword(s):  
Semantic Web ◽  
Knowledge Representation ◽  
Web Ontology Language ◽  
Intrinsic Nature ◽  
Domain Specific ◽  
Ontology Language ◽  
High Level ◽  
Explicit Relation ◽  
Potential Use ◽  
The Web

The OWL Enhance prototype has been developed to augment ontologies implemented using the Web Ontology Language (OWL) with richer relation semantics. This prototype interactively elicits knowledge from providers to describe the intrinsic nature of relations and appends these elicited semantics to definitions of relations in OWL ontologies. Benefits from the explicit specification of the intrinsic nature of relations in ontologies include the development of quantitative techniques for the estimation of similarities among relations and attribute exploration techniques to create relation taxonomies. Examples of these techniques have been implemented in modules of the OWL Enhance prototype to demonstrate the utility of explicit relation semantics. Results from testing these modules on high-level and domain-specific ontologies are presented and analyzed with respect to the potential use of relation semantics to increase the fidelity of knowledge representation, as well as the potential for reuse and interoperability of knowledge on the Semantic Web.

Raif-Semantics: A Robust Automated Interlinking Framework for Semantic Web Using MapReduce and Multi-node Data Processing

2022 ◽  
Author(s):  
Shweta S. Aladakatti ◽  
S. Senthil Kumar
Keyword(s):  
Semantic Web ◽  
Query Language ◽  
Web Page ◽  
Web 3.0 ◽  
Detection Algorithms ◽  
Ideal System ◽  
Random Moment ◽  
Time Required ◽  
The Web ◽  
Meaningful Data

The era of the web has evolved and the industry strives to work better every day, the constant need for data to be accessible at a random moment is expanding, and with this expansion, the need to create a meaningful query technique in the web is a major concerns. To transmit meaningful data or rich semantics, machines/projects need to have the ability to reach the correct information and make adequate connections, this problem is addressed after the emergence of Web 3.0, the semantic web is developing and being collected an immense. Information to prepare, this passes the giant data management test, to provide an ideal result at any time needed. Accordingly, in this article, we present an ideal system for managing huge information using MapReduce structures that internally help an engine bring information using the strength of fair preparation using smaller map occupations and connection disclosure measures. Calculations for similarity can be challenging, this work performs five similarity detection algorithms and determines the time it takes to address the patterns that has to be a better choice in the calculation decision. The proposed framework is created using the most recent and widespread information design, that is, the JSON design, the HIVE query language to obtain and process the information planned according to the customer’s needs and calculations for the disclosure of the interface. Finally, the results on a web page is made available that helps a user stack json information and make connections somewhere in the range of dataset 1 and dataset 2. The results are examined in 2 different sets, the results show that the proposed approach helps to interconnect significantly faster; Regardless of how large the information is, the time it takes is not radically extended. The results demonstrate the interlinking of the dataset 1 and dataset 2 is most notable using LD and JW, the time required is ideal in both calculations, this paper has mechanized the method involved with interconnecting via a web page, where customers can merge two sets of data that should be associated and used.

Mining XML Schemas to Extract Conceptual Knowledge

2012 ◽  
pp. 79-105
Author(s):  
Ivan Bedini ◽  
Benjamin Nguyen ◽  
Christopher Matheus ◽  
Peter F. Patel-Schneider ◽  
Aidan Boran
Keyword(s):  
Semantic Web ◽  
Conceptual Knowledge ◽  
Heterogeneous Data ◽  
Ontology Language ◽  
Extensible Markup ◽  
Data Source ◽  
Description Framework ◽  
Logical Representation ◽  
Direct Use ◽  
The Web

One of the promises of the Semantic Web is to support applications that easily and seamlessly deal with heterogeneous data. Most data in the Web, however, is in the Extensible Markup Language (XML) format, but using XML requires applications to understand the format of each data source that they access. Achieving the benefits of the Semantic Web involves transforming XML into the Semantic Web languages, OWL (the Web Ontology Language) and RDF (the Resource Description Framework), a process that generally has manual or only semi-automatic components. In this chapter, the authors present a set of patterns that enable the automatic transformation from XML Schema into RDF and OWL, enabling the direct use of much XML data in the Semantic Web. They focus on a possible logical representation of the first language and present an implementation, including a comparison with related works.

Natural Language Processing Agents and Document Clustering in Knowledge Management

2011 ◽  
pp. 476-498 ◽  
Author(s):  
Steve Legrand ◽  
JRG Pulido
Keyword(s):  
Knowledge Management ◽  
Natural Language Processing ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Information Presentation ◽  
Processing Methods ◽  
Standard Format ◽  
Web Technologies ◽  
The Web

While HTML provides the Web with a standard format for information presentation, XML has been made a standard for information structuring on the Web. The mission of the Semantic Web now is to provide meaning to the Web. Apart from building on the existing Web technologies, we need other tools from other areas of science to do that. This chapter shows how natural language processing methods and technologies, together with ontologies and a neural algorithm, can be used to help in the task of adding meaning to the Web, thus making the Web a better platform for knowledge management in general.

An Ontology Based Representation of Software Design Patterns

2011 ◽  
pp. 258-279 ◽  
Author(s):  
Jens Dietrich ◽  
Chris Elgar
Keyword(s):  
Software Engineering ◽  
Semantic Web ◽  
Design Patterns ◽  
Web Ontology Language ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Ontology Language ◽  
Software Design Patterns ◽  
Formal Definitions ◽  
The Web

This chapter introduces an approach to define Design patterns using semantic Web technologies. For this purpose, a vocabulary based on the Web ontology language OWL is developed. Design patterns can be defined as RDF documents instantiating this vocabulary, and can be published as resources on standard Web servers. This facilitates the use of patterns as knowledge artefacts shared by the software engineering community. The instantiation of patterns in programs is discussed, and the design of a tool is presented that can x-ray programs for pattern instances based on their formal definitions.

Iq Semantic: Semantic Web Intelligent Querying Framework

2020 ◽  
Vol 26 (3) ◽  
pp. 103-107
Author(s):  
Ilie Cristian Dorobăţ ◽  
Vlad Posea
Keyword(s):  
Natural Language Processing ◽  
Semantic Web ◽  
Natural Language ◽  
Language Processing ◽  
Open Data ◽  
Linked Open Data ◽  
Semantic Data ◽  
The Web

AbstractThe continuous expansion of the semantic web and of the linked open data cloud meant more semantic data are available for querying from endpoints all over the web. We propose extending a standard SPARQL interface with UI and Natural Language Processing features to allow easier and more intelligent querying. The paper describes some usage scenarios for easy querying and launches a discussion on the advantages of such an implementation.

Dynamic, Customized Workflow Using BDI Agent and Semantic Web Service

2011 ◽  
Vol 135-136 ◽  
pp. 477-483
Author(s):  
Chih Hao Liu ◽  
Jason Jen Yen Chen
Keyword(s):  
Semantic Web ◽  
Web Service ◽  
Semantic Information ◽  
Semantic Web Services ◽  
Web Ontology Language ◽  
Semantic Web Service ◽  
Ontology Language ◽  
Bdi Agent ◽  
The World ◽  
The Web

As the Web gradually evolves into the semantic web, the World Wide Web consortium (W3C) recommends that web ontology language (OWL) be used to encode semantic information content over the Web. Semantic web is an essential infrastructure to enhance Web to obtain better integration of information and intelligent use of web resources. Moreover, a web service is annotated by web ontology language for service (OWL-S) to form a semantic web service that, however, is a static description. The OWL-S based semantic web services thus are reactively invoked by users. How to dynamically coordinate, composite, or discover the services is an important issue.

Semantic Querying of News Articles With Natural Language Questions

2021 ◽  
Vol 14 (3) ◽  
pp. 38-57
Author(s):  
Tuan-Dung Cao ◽  
Quang-Minh Nguyen
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Semantic Search ◽  
News Item ◽  
Semantic Model ◽  
Search Technique ◽  
Web Based ◽  
Semantic Data ◽  
Sports News ◽  
The Web

The heterogeneity and the increasing amount of the news published on the web create challenges in accessing them. In the authors' previous studies, they introduced a semantic web-based sports news aggregation system called BKSport, which manages to generate metadata for every news item. Providing an intuitive and expressive way to retrieve information and exploiting the advantages of semantic search technique is within their consideration. In this paper, they propose a method to transform natural language questions into SPARQL queries, which could be applied to existing semantic data. This method is mainly based on the following tasks: the construction of a semantic model representing a question, detection of ontology vocabularies and knowledge base elements in question, and their mapping to generate a query. Experiments are performed on a set of questions belonging to various categories, and the results show that the proposed method provides high precision.

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