A Comparative Study of Ontology building Tools in Semantic Web Applications

Kapoor, Bhaskar; Sharma, Sat Pal

doi:10.5121/ijwest.2010.1301

Cited by 68 publications

(52 citation statements)

References 4 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…For Semantic Web an efficient ontology represents an important aspect. Kapoor & et al [2] describes different types of ontology management tools like Protege, Apollo, IsaViz, Swoop etc. They gave a comparative study of these tools in their paper [2].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Linked Data Generation for the University Data From Legacy Database

Sarkar¹,

Marjit²,

Biswas³

2011

IJWesT

View full text Add to dashboard Cite

Web was developed to share information among the users through internet as some hyperlinked documents. If someone wants to collect some data from the web he has to search and crawl through the documents to fulfil his needs. Concept of Linked Data creates a breakthrough at this stage by enabling the links within data. So, besides the web of connected documents a new web developed both for humans and machines, i.e., the web of connected data, simply known as Linked Data Web. Since it is a very new domain, still a very few works has been done, specially the publication of legacy data within a University domain as Linked Data.In this paper our approach concentrates on publishing the data from our University's databases as linked Data on the web and also ensuring the trustworthiness of the data by addition of provenance data along with. For this purpose we have introduced a framework to make all the steps towards the Linked Data publication easy for legacy databases within a university domain.

show abstract

Section: Introductionmentioning

confidence: 99%

“…Kapoor & et al [2] describes different types of ontology management tools like Protege, Apollo, IsaViz, Swoop etc. They gave a comparative study of these tools in their paper [2]. At present OWL is most popular to use for ontology development, but to achieve the goal of the Linked Data RDF is enough and quite efficient for now.…”

Section: Introductionmentioning

confidence: 99%

Linked Data Generation for the University Data From Legacy Database

Sarkar¹,

Marjit²,

Biswas³

2011

IJWesT

View full text Add to dashboard Cite

show abstract

“…According to the object of conceptualization the ontologies are classified into four categories shown in Fig.1 and are discussed below [3,5]. For example one of the most cited ontologies is the wine ontology.…”

Section: A Classification Of Ontologymentioning

confidence: 99%

Evaluation of Information Retrieval Based Ontology Development Editors for Semantic Web

Kaur¹,

Aggarwal²

2017

IJMECS

View full text Add to dashboard Cite

Abstract-Ontology is one of the central area in natural language processing (NLP), artificial intelligence (AI) information retrieval (IR) and semantic web (SW). If you are working on ontology project, this paper will give you the relevant information about ontology related terms and best ontology development editor. In this paper five ontology development editors are reviewed and compared with their updated versions. They are Apollo1.0, SWOOP 2.3Beta4, Proté gé 5.0, Graffoo 1.0 and Neon 2.5.2. Comparison of two main data models ontology and RDBMS is also done. This paper also present the classification of ontology languages from those reported in the Literature, with a special attention accorded to the interoperability between them. Additionally, this paper presents the important terms related to ontology. The main criterion for comparison of these tools and languages was the user interest and their application in different kind of real world tasks. The primary goal of this study is to introduce these important tools, languages and data models to ensure more understanding from their use.

show abstract

“…Ontology building tools [13] ii) Web Ontology Language (OWL) A language derived from description logics which offer more detailed ontology constructs over RDFS is OWL. It is syntactically embedded into RDF, so like RDFS, it provides additional standardized vocabulary.…”

Section: Ontologymentioning

confidence: 99%

“Study of Semantic Web Bas`ed E-Recruitment System : Review”

Soni¹,

Swaminarayan²

2017

ijarcs

View full text Add to dashboard Cite

Data retrieval of existing online recruitment systems on the basis of exact match finding techniques of user's stored profiles and the recruiter's requirement is an addressable issue nowadays. Despite of eligibility criteria all the exact details of an applicant does not match the recruiter's online form leading to zero results. Several Ontologies have been popular in the field of knowledge management and knowledge sharing, especially after the evolution of the Semantic Web. Ontology defines the terms and concepts (meaning) used to describe and represent an area of knowledge. The aim of this research is to review the existing Ontologies developed for e -recruitment. In this paper I have done a review and analysis of semantic web based e -recruitment systems with their different concepts undertaken for their development. It involves study of different job portals for domain terminology, different semantic technology used so far for similar purpose, development of Ontology, Development and testing of SPARQL queries for accurate searching, Deployment over the Internet to conduct practical search. I have explained the e-recruitment process and methods listing them through several sections and drawn the conclusion.

show abstract

A Comparative Study of Ontology building Tools in Semantic Web Applications

Abstract: ABSTRACT

Cited by 68 publications

References 4 publications

Linked Data Generation for the University Data From Legacy Database

Linked Data Generation for the University Data From Legacy Database

Evaluation of Information Retrieval Based Ontology Development Editors for Semantic Web

“Study of Semantic Web Bas`ed E-Recruitment System : Review”

Contact Info

Product

Resources

About