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.

A URI is Worth a Thousand Tags

2011 ◽  
pp. 279-302 ◽  
Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker
Keyword(s):  
Semantic Web ◽  
User Generated Content ◽  
Social Web ◽  
Enterprise 2.0 ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Social ◽  
Web Of Data ◽  
Accepted Practice ◽  
The Web

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.

A URI is Worth a Thousand Tags

2009 ◽  
Vol 5 (3) ◽  
pp. 71-94 ◽  
Author(s):  
Alexandre Passant ◽  
Philippe Laublet ◽  
John G. Breslin ◽  
Stefan Decker
Keyword(s):  
Semantic Web ◽  
User Generated Content ◽  
Social Web ◽  
Enterprise 2.0 ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
The Social ◽  
Web Of Data ◽  
Accepted Practice ◽  
The Web

Although tagging is a widely accepted practice on the Social Web, it raises various issues like tags ambiguity and heterogeneity, as well as the lack of organization between tags. We believe that Semantic Web technologies can help solve many of these issues, especially considering the use of formal resources from the Web of Data in support of existing tagging systems and practices. In this article, we present the MOAT—Meaning Of A Tag—ontology and framework, which aims to achieve this goal. We will detail some motivations and benefits of the approach, both in an Enterprise 2.0 ecosystem and on the Web. As we will detail, our proposal is twofold: It helps solve the problems mentioned previously, and weaves user-generated content into the Web of Data, making it more efficiently interoperable and retrievable.

Customer Relationship Management in Social and Semantic Web Environments

2010 ◽  
Vol 1 (2) ◽  
pp. 1-10 ◽  
Author(s):  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Fernando Paniagua Martín
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Paradigm Shift ◽  
Dynamic Environment ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Web Technologies ◽  
The Social

The growing influence of the Internet in current 21st-century everyday life has implied a paradigm shift in terms of relationships between customers and companies. New interaction means in the Web 1.0 have undergone a dramatic change in quantity and quality with the advent of the so-called Web 2.0, the Social Web. The upcoming Web 3.0, the Semantic Web will also impact tremendously in how companies understand Customer Relationship Management (CRM). In this dynamic environment, the present work presents a combination of both Social and Semantic Web Technologies and their application in the particular field of CRM. Tool and technology analysis both prove the challenging opportunities for these cutting-edge innovation trends in the CRM domain.

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.

Customer Relationship Management in Social and Semantic Web Environments

2012 ◽  
pp. 83-92
Author(s):  
Ángel García-Crespo ◽  
Ricardo Colomo-Palacios ◽  
Juan Miguel Gómez-Berbís ◽  
Fernando Paniagua Martín
Keyword(s):  
Semantic Web ◽  
Customer Relationship Management ◽  
Dynamic Environment ◽  
Relationship Management ◽  
Customer Relationship ◽  
Semantic Web Technologies ◽  
Web 3.0 ◽  
Web Technologies ◽  
The Social ◽  
The Web

The growing influence of the Internet in current 21st-century everyday life has implied a paradigm shift in terms of relationships between customers and companies. New interaction means in the Web 1.0 have undergone a dramatic change in quantity and quality with the advent of the so-called Web 2.0, the Social Web. The upcoming Web 3.0, the Semantic Web will also impact tremendously in how companies understand Customer Relationship Management (CRM). In this dynamic environment, the present work presents a combination of both Social and Semantic Web Technologies and their application in the particular field of CRM. Tool and technology analysis both prove the challenging opportunities for these cutting-edge innovation trends in the CRM domain.

Automating REA Policy Level Specifications with Semantic Web Technologies

2008 ◽  
Vol 22 (2) ◽  
pp. 249-277 ◽  
Author(s):  
Tod Sedbrook ◽  
Richard I. Newmark
Keyword(s):  
Semantic Web ◽  
Domain Knowledge ◽  
Semantic Web Technologies ◽  
Web Technologies ◽  
Ontology Language ◽  
Model Complex ◽  
Application Ontology ◽  
Entity Relationship ◽  
Tools And Techniques ◽  
Machine Readable

ABSTRACT: Enterprise modelers require tools and techniques that consistently represent and logically apply domain knowledge. Current modeling approaches rely on entity relationship or unified modeling diagrams to represent semantic descriptions of business exchanges. However, it remains difficult to transform the implicit metadata, ontologies, and logic embedded in diagrams into a coherent form that can be interpreted by machines and delivered across the web. This study explores the uniting of machine processing capabilities of semantic web technologies with resource event agent (REA) enterprise ontologies to model complex multienterprise partnerships. Web Ontology Language (OWL) and Semantic Web Rule Language (SWRL) were used to model REA policies for a distributed e-commerce partnership selling nearly new vehicles. We combine a specialized REA application ontology with semantic technologies to direct multienterprise collaborations. We present a prototype that encodes the ontology's concepts within OWL and SWRL and explore these machine-readable representations within the context of a case study.

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.

Applying Semantic Web to E-Tourism

2010 ◽  
pp. 243-265 ◽  
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.

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