scholarly journals Semantic Web in the expansion of E Commerce

2019 ◽  
Vol 8 (3) ◽  
pp. 3820-3827
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Search Engines ◽  
Web Ontology Language ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Semantic Enrichment ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description

This study focuses on the enhancing the potential of the e-commerce websites with various Semantic web technologies. The involvement of semantic enrichment gives more meaning to the data and makes content more easily discoverable by both search engines and users. Daily thousands of people try searching for a product they are willing to buy and due to the system inefficiency, customers waste a lot of their precious time and resources and also there are a lot of problems with the current e-commerce systems. So, semantic web has certain technologies/languages specifically established for data, i.e. RDF (Resource description framework), OWL (Web ontology language) and XML, etc. which can help overcome the problems and accelerate the business to a higher level where e-commerce websites will be playing an important role.

Data Confidentiality on the Semantic Web

2008 ◽  
pp. 3309-3320
Author(s):  
Csilla Farkas
Keyword(s):  
Semantic Web ◽  
Formal Semantics ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Inference Problem ◽  
Web Technologies ◽  
Ontology Language ◽  
Future Research Directions ◽  
Description Framework ◽  
Resource Description

This chapter investigates the threat of unwanted Semantic Web inferences. We survey the current efforts to detect and remove unwanted inferences, identify research gaps, and recommend future research directions. We begin with a brief overview of Semantic Web technologies and reasoning methods, followed by a description of the inference problem in traditional databases. In the context of the Semantic Web, we study two types of inferences: (1) entailments defined by the formal semantics of the Resource Description Framework (RDF) and the RDF Schema (RDFS) and (2) inferences supported by semantic languages like the Web Ontology Language (OWL). We compare the Semantic Web inferences to the inferences studied in traditional databases. We show that the inference problem exists on the Semantic Web and that existing security methods do not fully prevent indirect data disclosure via inference channels.

Survey of directly mapping SQL databases to the Semantic Web

2011 ◽  
Vol 26 (4) ◽  
pp. 445-486 ◽  
Author(s):  
Juan F. Sequeda ◽  
Syed Hamid Tirmizi ◽  
Oscar Corcho ◽  
Daniel P. Miranker
Keyword(s):  
Semantic Web ◽  
Resource Description Framework ◽  
Information Sources ◽  
The Internet ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description ◽  
Semantic Properties ◽  
Rdf Schema

AbstractThe Semantic Web anticipates integrated access to a large number of information sources on the Internet represented as Resource Description Framework (RDF). Given the large number of websites that are backed by SQL databases, methods that automate the translation of those databases to RDF are crucial. One approach, taken by a number of researchers, is to directly map the SQL schema to an equivalent Web Ontology Language (OWL) or RDF Schema representation, which in turn, implies an RDF representation for the relational data. This paper reviews this research, and derives a consolidated, overarching set of translation rules expressible as a stratified Datalog program. We present all the possible key combinations in an SQL schema and consider their implied semantic properties. We review the approaches and characterize them with respect to the scope of their coverage of SQL constructs.

Data Confidentiality on the Semantic Web

2006 ◽  
pp. 73-90 ◽  
Author(s):  
Csilla Farkas
Keyword(s):  
Semantic Web ◽  
Formal Semantics ◽  
Future Research ◽  
Semantic Web Technologies ◽  
Inference Problem ◽  
Web Technologies ◽  
Ontology Language ◽  
Future Research Directions ◽  
Description Framework ◽  
Resource Description

This chapter investigates the threat of unwanted Semantic Web inferences. We survey the current efforts to detect and remove unwanted inferences, identify research gaps, and recommend future research directions. We begin with a brief overview of Semantic Web technologies and reasoning methods, followed by a description of the inference problem in traditional databases. In the context of the Semantic Web, we study two types of inferences: (1) entailments defined by the formal semantics of the Resource Description Framework (RDF) and the RDF Schema (RDFS) and (2) inferences supported by semantic languages like the Web Ontology Language (OWL). We compare the Semantic Web inferences to the inferences studied in traditional databases. We show that the inference problem exists on the Semantic Web and that existing security methods do not fully prevent indirect data disclosure via inference channels.

scholarly journals Sistem Berbasis Pengetahuan Tumbuhan Obat Pusat Studi Biofarmaka

2019 ◽  
Vol 4 (1) ◽  
pp. 17-27
Author(s):  
Aini Fazriani ◽  
Wisnu Ananta Kusuma ◽  
Irmanida Batubara
Keyword(s):  
Life Cycle ◽  
Resource Description Framework ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Ontology Building ◽  
Description Framework ◽  
Building Life Cycle ◽  
Resource Description

Jamu terdiri atas berbagai macam tumbuhan obat yang diolah. Tumbuhan obat memiliki kandungan senyawa metabolit sekunder yang berperan sebagai khasiat. Pengetahuan tumbuhan obat beserta senyawanya perlu dikembangkan lagi menjadi pengetahuan eksplisit yang lebih spesifik dan mudah dimengerti sehingga berguna untuk masyarakat. Maka dari itu perlu mengembangkan sistem untuk digunakan oleh masyarakat sehingga pengobatan dengan tanaman obat lebih populer di kalangan masyarakat luas. Penelitian yang dilakukan mengenai manajemen pengetahuan berbasis ontologi terkait dengan tumbuhan obat dan senyawa. Penelitian ini menggunakan pendekatan proses manajemen pengetahuan model SECI, selain itu pengembangan ontologi menggunakan metode Ontology building life cycle, sedangkan bahasa representasi yang digunakan adalah Resource Description Framework (RDF) dan Web Ontology Language (OWL) dengan toolsProtégé5.0. Pengembangan model ontologi dengan bahasa representasi RDF/OWL dapat menghasilkan pengetahuan dengan melakukan query menggunakan SPARQL. Hasil query tersebut dapat digunakan untuk diimplementasikan pada mobile.

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.

Sistem Berbasis Pengetahuan Tumbuhan Obat Pusat Studi Biofarmaka

2020 ◽  
Vol 4 (1) ◽  
Author(s):  
Aini Fazriani ◽  
Wisnu Ananta Kusuma ◽  
Irmanida Batubara
Keyword(s):  
Life Cycle ◽  
Resource Description Framework ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Ontology Building ◽  
Description Framework ◽  
Building Life Cycle ◽  
Resource Description

Jamu terdiri atas berbagai macam tumbuhan obat yang diolah. Tumbuhan obat memiliki kandungan senyawa metabolit sekunder yang berperan sebagai  khasiat. Pengetahuan tumbuhan obat beserta senyawanya perlu dikembangkan lagi menjadi pengetahuan eksplisit yang lebih spesifik dan mudah dimengerti sehingga berguna untuk masyarakat.   Maka dari itu perlu  mengembangkan sistem untuk digunakan oleh masyarakat sehingga pengobatan dengan tanaman obat lebih populer di kalangan masyarakat luas. Penelitian yang  dilakukan mengenai manajemen pengetahuan berbasis ontologi terkait dengan tumbuhan obat dan senyawa. Penelitian ini menggunakan pendekatan proses manajemen pengetahuan model SECI, selain itu pengembangan ontologi menggunakan metode Ontology building life cycle, sedangkan bahasa representasi yang digunakan adalah Resource Description Framework  (RDF) dan Web Ontology Language (OWL) dengan tools Protege 5.0. Pengembangan model ontologi dengan bahasa representasi RDF/OWL dapat menghasilkan pengetahuan dengan melakukan query menggunakan SPARQL. Hasil query tersebut dapat digunakan untuk diimplementasikan pada mobile.

scholarly journals Pengembangan Sistem Ontologi untuk Morfologi Tumbuhan Obat

2016 ◽  
Vol 3 (2) ◽  
pp. 84 ◽  
Author(s):  
Hani Zulfia Zahro ◽  
Yeni Herdiyeni ◽  
Irman Hermadi
Keyword(s):  
Resource Description Framework ◽  
Query Language ◽  
Web Ontology Language ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description

Penelitian ini mengusulkan tentang desain baru dari ontologi untuk tanaman obat Indonesia berdasarkan konsep morfologi. Morfologi adalah studi yang mempelajari tentang karakteristik tumbuhan. Dalam penelitian ini menggunakan morfologi sebagai konsep pengetahuan. Ontologi merupakan model pengetahuan yang mendefinisikan hubungan dan klasifikasi dari beberapa konsep dalam domain tertentu. <em>Resource description framework</em> (RDF) dan <em>web ontology language</em> (OWL) digunakan dalam merepresentasikan ontologi. SPARQL protocol and <em>RDF query language</em> (SPARQL) digunakan untuk <em>query</em> data. Protégé 4.3 digunakan untuk memodelkan ontologi tanaman obat. Hasil dari pemodelan ontologi tumbuhan obat dapat diterapkan ke sistem semantik web tanaman obat Indonesia.<br /><br />Kata kunci: morfologi, ontologi, tumbuhan obat

An Ontology Based Representation of Software Design Patterns

2009 ◽  
pp. 528-545 ◽  
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.

scholarly journals Logical Foundations of RDF(S) with Datatypes

2010 ◽  
Vol 38 ◽  
pp. 535-568 ◽  
Author(s):  
J. De Bruijn ◽  
S. Heymans
Keyword(s):  
Semantic Web ◽  
Lower Bounds ◽  
Resource Description Framework ◽  
Description Logic ◽  
Upper Bounds ◽  
Logical Foundations ◽  
Ontology Language ◽  
Description Framework ◽  
Resource Description ◽  
Rdf Schema

The Resource Description Framework (RDF) is a Semantic Web standard that provides a data language, simply called RDF, as well as a lightweight ontology language, called RDF Schema. We investigate embeddings of RDF in logic and show how standard logic programming and description logic technology can be used for reasoning with RDF. We subsequently consider extensions of RDF with datatype support, considering D entailment, defined in the RDF semantics specification, and D* entailment, a semantic weakening of D entailment, introduced by ter Horst. We use the embeddings and properties of the logics to establish novel upper bounds for the complexity of deciding entailment. We subsequently establish two novel lower bounds, establishing that RDFS entailment is PTime-complete and that simple-D entailment is coNP-hard, when considering arbitrary datatypes, both in the size of the entailing graph. The results indicate that RDFS may not be as lightweight as one may expect.

scholarly journals Petri nets on the semantic web guidelines and infrastructure

2004 ◽  
Vol 1 (2) ◽  
pp. 127-151 ◽  
Author(s):  
Dragan Gasevic
Keyword(s):  
Semantic Web ◽  
Petri Net ◽  
Ontology Language ◽  
Uml Profiles ◽  
Community Effort ◽  
Model Sharing ◽  
Petri Net Markup Language ◽  
Description Framework ◽  
Definition Of ◽  
Resource Description

This paper gives the Petri net ontology as the most important element in providing Petri net support for the Semantic Web. Available Petri net formal descriptions are: metamodels, UML profiles, ontologies and syntax. Metamodels are useful, but their main purpose is for Petri net tools. Although the current Petri-net community effort Petri Net Markup Language (PNML) is XML-based, it lacks a precise definition of semantics. Existing Petri net ontologies are partial solutions specialized for a specific problem. In order to show current Petri net model sharing features we use P3 tool that uses PNML/XSLT-based approach for model sharing. This paper suggests developing the Petri net ontology to represent semantics appropriately. This Petri net ontology is described using UML, Resource Description Framework (Schema) RDF(S) and the Web Ontology Language-OWL.

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