Applying Semantic Web technologies to improve the retrieval, credibility and use of health-related web resources

2011 ◽  
Vol 17 (2) ◽  
pp. 95-115 ◽  
Author(s):  
Miguel A. Mayer ◽  
Pythagoras Karampiperis ◽  
Antonis Kukurikos ◽  
Vangelis Karkaletsis ◽  
Kostas Stamatakis ◽  
...  
Keyword(s):  
Semantic Web ◽  
Search Engines ◽  
Medical Information ◽  
Main Tool ◽  
Web Content ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Resources ◽  
Health Related ◽  
Machine Readable

The number of health-related websites is increasing day-by-day; however, their quality is variable and difficult to assess. Various “trust marks” and filtering portals have been created in order to assist consumers in retrieving quality medical information. Consumers are using search engines as the main tool to get health information; however, the major problem is that the meaning of the web content is not machine-readable in the sense that computers cannot understand words and sentences as humans can. In addition, trust marks are invisible to search engines, thus limiting their usefulness in practice. During the last five years there have been different attempts to use Semantic Web tools to label health-related web resources to help internet users identify trustworthy resources. This paper discusses how Semantic Web technologies can be applied in practice to generate machine-readable labels and display their content, as well as to empower end-users by providing them with the infrastructure for expressing and sharing their opinions on the quality of health-related web resources.

Semantic Web, RDF, and Portals

2011 ◽  
pp. 905-911
Author(s):  
Ah Lian Kor
Keyword(s):  
Semantic Web ◽  
Web Portals ◽  
Next Generation ◽  
Web Portal ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Web Resources ◽  
The Subject ◽  
Semantically Enhanced ◽  
Intensive Reading

In existing literature, Semantic Web portals (SWPs) are sometimes known as semantic portals or semantically enhanced portals. It is the next generation Web portal which publishes contents and information readable both by machines and humans. A SWP has all the generic functionalities of a Web portal but is developed using semantic Web technologies. However, it has several enhanced capabilities such as semantics- based search, browse, navigation, automation processes, extraction, and integration of information (Lausen, Stollberg, Hernandez, Ding, Han & Fensel, 2004; Perry & Stiles, 2004). To date the only available resources on SWPs are isolated published Web resources and research or working papers. There is a need to pool these resources together in a coherent way so as to provide the readers a comprehensive idea of what SWPs are, and how they could be built, and these will be supported by some appropriate examples. Additionally, this article will provide useful Web links for more extensive as well as intensive reading on the subject.

Semantic Web Architecture to Provide E-Health Content and Services

2010 ◽  
pp. 233-257 ◽  
Author(s):  
Mahmood Tara
Keyword(s):  
Semantic Web ◽  
Real Life ◽  
Information Services ◽  
Semantic Web Technologies ◽  
Related Services ◽  
Web Technologies ◽  
Health Consumer ◽  
Health Related ◽  
Life Journey ◽  
Health Content

This chapter is aimed at introducing the Semantic Web, the related common languages, and the Semantic Web Services Architecture as a hope for future information services architecture on the Web. In particular, the chapter will focus on the current and prospective (or practical and potential) contributions of the Semantic Web technologies in providing e-Health content and services to its potential users worldwide. To stay health-focused and to illustrate the potentials of the health related services, a real-life journey of a health consumer seeking health information services has been used as the context throughout this chapter. This consumer’s journey will help the readers to comprehend the superior aspects of the Semantic Web technologies as an emerging upgrade to the current physical architecture.

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.

Applying Semantic Web to E-Tourism

2011 ◽  
pp. 1027-1049
Author(s):  
Danica Damljanovic ◽  
Vladan Devedžic
Keyword(s):  
Semantic Web ◽  
Prototype System ◽  
User Profiles ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Core ◽  
Tourism Management ◽  
Sophisticated User ◽  
Machine Readable ◽  
The Web

Traditional E-Tourism applications store data internally in a form that is not interoperable with similar systems. Hence, tourist agents spend plenty of time updating data about vacation packages in order to provide good service to their clients. On the other hand, their clients spend plenty of time searching for the ‘perfect’ vacation package as the data about tourist offers are not integrated and are available from different spots on the Web. We developed Travel Guides - a prototype system for tourism management to illustrate how semantic web technologies combined with traditional E-Tourism applications: a.) help integration of tourism sources dispersed on the Web b) enable creating sophisticated user profiles. Maintaining quality user profiles enables system personalization and adaptivity of the content shown to the user. The core of this system is in ontologies – they enable machine readable and machine understandable representation of the data and more importantly reasoning.

Understanding Online Communities by Using Semantic Web Technologies

2011 ◽  
pp. 429-456 ◽  
Author(s):  
Alexandre Passant ◽  
Sheila Kinsella ◽  
Uldis Bojars ◽  
John G. Breslin ◽  
Stefan Decker
Keyword(s):  
Semantic Web ◽  
Online Communities ◽  
Community Analysis ◽  
Social Web ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Related Data ◽  
Data Querying ◽  
The Social ◽  
Machine Readable

During the last few years, the Web that we used to know as a read-only medium shifted to a read-write Web, often known as Web 2.0 or the Social Web, in which people interact, share and build content collaboratively within online communities. In order to clearly understand how these online communities are formed, evolve, share and produce content, a first requirement is to gather related data. In this chapter, we give an overview of how Semantic Web technologies can be used to provide a unified layer of representation for Social Web data in an open and machine-readable manner thanks to common models and shared semantics, facilitating data gathering and analysis. Through a comprehensive state of the art review, we describe the various models that can be applied to online communities and give an overview of some of the new possibilities offered by such a layer in terms of data querying and community analysis.

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.

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.

Semantic Web Technologies in the Recruitmant Domain

2007 ◽  
pp. 299-318 ◽  
Author(s):  
Ralf Heese ◽  
Malgorzata Mochol ◽  
Radoslaw Oldakowski
Keyword(s):  
Semantic Web ◽  
Human Resource ◽  
Search Engines ◽  
Matching Function ◽  
Job Seekers ◽  
Recruitment Process ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Search Results ◽  
Job Offers

Due to the large number of job offers published online it is almost impossible for job seekers and job portals to gain an overview of the entire employment market. Since job offers lack semantically meaningful annotations, their location and integration into databases is extremely difficult. In this paper, we demonstrate how the application of Semantic Web technologies, can enable unambiguous identification of concepts and relationships between concepts, to the e-recruitment process provides advantages for all participants in the market. When comparing job and applicant profiles, this abovementioned identification through the use of a dedicated matching function is a key element for increasing the precision of search results provided by search engines. Furthermore, it allows for automating and supporting recruitment processes. In this chapter, we present an application scenario and our prototypical implementation discussing the construction of a human resource ontology for annotating job offers and job applications and our matching function.

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