Overview of MERA

2019 ◽  
pp. 219-245
Author(s):  
Daniel Fernández-Álvarez ◽  
José Emilio Labra Gayo ◽  
Daniel Gayo-Avello ◽  
Patricia Ordoñez de Pablos
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
World Wide ◽  
Poor Performance ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Matching Process ◽  
Large Databases ◽  
The World ◽  
Distinguishing Features

The proliferation of large databases with potentially repeated entities across the World Wide Web drives into a generalized interest to find methods to detect duplicated entries. The heterogeneity of the data cause that generalist approaches may produce a poor performance in scenarios with distinguishing features. In this paper, we analyze the particularities of music related-databases and we describe Musical Entities Reconciliation Architecture (MERA). MERA consists of an architecture to match entries of two sources, allowing the use of extra support sources to improve the results. It makes use of semantic web technologies and it is able to adapt the matching process to the nature of each field in each database. We have implemented a prototype of MERA and compared it with a well-known music-specialized search engine. Our prototype outperforms the selected baseline in terms of accuracy.

Knowledge Representation Technologies Using Semantic Web

Web Services ◽  
2019 ◽  
pp. 1068-1076
Author(s):  
Vudattu Kiran Kumar
Keyword(s):  
Semantic Web ◽  
Crucial Role ◽  
World Wide ◽  
Global Information ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Repositories ◽  
The World ◽  
The Web

The World Wide Web (WWW) is global information medium, where users can read and write using computers over internet. Web is one of the services available on internet. The Web was created in 1989 by Sir Tim Berners-Lee. Since then a great refinement has done in the web usage and development of its applications. Semantic Web Technologies enable machines to interpret data published in a machine-interpretable form on the web. Semantic web is not a separate web it is an extension to the current web with additional semantics. Semantic technologies play a crucial role to provide data understandable to machines. To achieve machine understandable, we should add semantics to existing websites. With additional semantics, we can achieve next level web where knowledge repositories are available for better understanding of web data. This facilitates better search, accurate filtering and intelligent retrieval of data. This paper discusses about the Semantic Web and languages involved in describing documents in machine understandable format.

Knowledge Representation Technologies Using Semantic Web

2017 ◽  
pp. 158-166
Author(s):  
Vudattu Kiran Kumar
Keyword(s):  
Semantic Web ◽  
Crucial Role ◽  
World Wide ◽  
Global Information ◽  
Semantic Technologies ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Knowledge Repositories ◽  
The World ◽  
The Web

The World Wide Web (WWW) is global information medium, where users can read and write using computers over internet. Web is one of the services available on internet. The Web was created in 1989 by Sir Tim Berners-Lee. Since then a great refinement has done in the web usage and development of its applications. Semantic Web Technologies enable machines to interpret data published in a machine-interpretable form on the web. Semantic web is not a separate web it is an extension to the current web with additional semantics. Semantic technologies play a crucial role to provide data understandable to machines. To achieve machine understandable, we should add semantics to existing websites. With additional semantics, we can achieve next level web where knowledge repositories are available for better understanding of web data. This facilitates better search, accurate filtering and intelligent retrieval of data. This paper discusses about the Semantic Web and languages involved in describing documents in machine understandable format.

Survey Paper on Semantic Web

2018 ◽  
pp. 114-119
Author(s):  
Rimpal Unadkat
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Web Pages ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Survey Paper ◽  
The People

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.

Survey Paper on Semantic Web

2015 ◽  
Vol 7 (4) ◽  
pp. 13-17 ◽  
Author(s):  
Rimpal Unadkat
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Web Pages ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Survey Paper ◽  
The People

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.

Survey Paper on Semantic Web

Web Services ◽  
2019 ◽  
pp. 2138-2143
Author(s):  
Rimpal Unadkat
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
World Wide ◽  
Web Pages ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Survey Paper ◽  
The People

The World Wide Web (WWW) allows the people to share the information (data) from the large database repositories globally. The tremendous growth in the volume of data and with the terrific growth of number of web pages, traditional search engines now days are not appropriate and not suitable anymore. Search engine is the most important tool to discover any information in World Wide Web. Semantic Search Engine is born of traditional search engine to overcome the above problem. However, to overcome this problem in search engines to retrieve meaningful information intelligently, semantic web technologies are playing a major role. In this paper the authors present survey on the role of search engines in intelligent web, Background, Challenges and some issues.

A Survey of Web Ontology Languages and Semantic Web Services

2013 ◽  
Vol 60 (1) ◽  
pp. 42-53 ◽  
Author(s):  
Alexandru Napoleon Sireteanu
Keyword(s):  
World Wide Web ◽  
Semantic Web ◽  
World Wide ◽  
Information Sources ◽  
Semantic Web Services ◽  
Formal Ontology ◽  
Web Technologies ◽  
The World ◽  
Ontology Languages ◽  
In The Beginning

Abstract In the beginning World Wide Web was syntactic and the content itself was only readable by humans. The modern web combines existing web technologies with knowledge representation formalisms. In this sense, the Semantic Web proposes the mark-up of content on the web using formal ontology that structure essential data for the purpose of comprehensive machine understanding. On the syntactical level, standardization is an important topic. Many standards which can be used to integrate different information sources have evolved. Beside the classical database interfaces like ODBC, web-oriented standard languages like HTML, XML, RDF and OWL increase in importance. As the World Wide Web offers the greatest potential for sharing information, we will base our paper on these evolving standards.

scholarly journals Similarity Measurement in the Hybrid of Semantic Web Search Engine

2013 ◽  
Vol 8 (3) ◽  
pp. 913-921 ◽  
Author(s):  
Noryusliza Abdullah ◽  
Rosziati Ibrahim
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
World Wide ◽  
Web Search ◽  
User Profiling ◽  
Similarity Measurement ◽  
Hybrid Techniques ◽  
Time Usage ◽  
The World ◽  
Data Arrangement

Semantic Web approach with the assistance of ontology is widely used to give more reliable application in retrieving information and knowledge.  It is capable to discover the World Wide Web (WWW) that is presented in natural-language text.  Based on previous research, incorporating categorization with ontology concept has proven to give better results.  However, performing hybrid of the search engine using another technique that is user profiling has a promising potency in enhancing the searching process.  Utilizing searching time and giving relevant results are the contributions of this research.  The proposed hybrid techniques integrate ontologies, categorization and user profiling concept.  In user profiling, similarity measure is adopted in making comparison between two different ontologies.  WordNet and UTHM Onto are the independent ontologies used in this process.  The preliminary experimental results have given interesting results in terms of data arrangement and time usage.

scholarly journals Semantic Web Search Engines : A Comparative Survey

2019 ◽  
pp. 107-115
Author(s):  
Anita Kumari ◽  
Jawahar Thakur
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
Web Search ◽  
Retrieval System ◽  
Relevant Information ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Search Engine ◽  
Comparative Survey

Search engines play important role in the success of the Web. Search engine helps the users to find the relevant information on the internet. Due to many problems in traditional search engines has led to the development of semantic web. Semantic web technologies are playing a crucial role in enhancing traditional search, as it work to create machines readable data and focus on metadata. However, it will not replace traditional search engines. In the environment of semantic web, search engine should be more useful and efficient for searching the relevant web information. It is a way to increase the accuracy of information retrieval system. This is possible because semantic web uses software agents; these agents collect the information, perform relevant transactions and interact with physical devices. This paper includes the survey on the prevalent Semantic Search Engines based on their advantages, working and disadvantages and presents a comparative study based on techniques, type of results, crawling, and indexing.

scholarly journals Semantic Web Technologies for Data Curation and Provenance

2019 ◽  
Author(s):  
Clifford Brown
Keyword(s):  
Semantic Web ◽  
Measurement Process ◽  
Data Curation ◽  
Science And Engineering ◽  
Semantic Web Technologies ◽  
Meta Data ◽  
Web Technologies ◽  
The World

The Reproducibility issue even if not a crisis, is still a major problem in the world of science and engineering. Within metrology, making measurements at the limits that science allows for, inevitably, factors not originally considered relevant can be very relevant. Who did the measurement? How exactly did they do it? Was a mistake made? Was the equipment working correctly? All these factors can influence the outputs from a measurement process. In this work we investigate the use of Semantic Web technologies as a strategic basis on which to capture provenance meta-data and the data curation processes that will lead to a better understanding of issues affecting reproducibility.

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