The Web of Data and the Tourism Industry

2011 ◽  
pp. 75-89 ◽  
Author(s):  
Diego Berrueta ◽  
Antonio Campos ◽  
Emilio Rubiera ◽  
Carlos Tejo ◽  
José E. Labra
Keyword(s):  
Large Scale ◽  
Tourism Industry ◽  
Web Architecture ◽  
Data Flows ◽  
Web Of Data ◽  
Efficient Data ◽  
Evolutionary Step ◽  
Full Benefit ◽  
Existing Data ◽  
The Web

The web of data is a new evolutionary step of the web that involves the publication, interchange and consumption of meaningful, raw data by taking full benefit of the web architecture. All the parties involved in the tourism industry should consider the opportunities offered by this new web. Entry barriers are low because existing data sources and documents can be easily leveraged to be part of this extended web. At the same time, new services and platforms that exploit the data are beginning to show the large potential for increased technological and business opportunities. A new scenario of large-scale information availability and efficient data flows is discussed in this chapter.

MidSemI

2019 ◽  
Vol 10 (2) ◽  
pp. 1-25 ◽  
Author(s):  
Samir Sellami ◽  
Taoufiq Dkaki ◽  
Nacer Eddine Zarour ◽  
Pierre-Jean Charrel
Keyword(s):  
Social Media ◽  
Linked Data ◽  
Large Scale ◽  
Keyword Search ◽  
Evaluation Study ◽  
Added Value ◽  
Web Of Data ◽  
Integration Techniques ◽  
User Friendly ◽  
The Web

The web diversification into the Web of Data and social media means that companies need to gather all the necessary data to help make the best-informed market decisions. However, data providers on the web publish data in various data models and may equip it with different search capabilities, thus requiring data integration techniques to access them. This work explores the current challenges in this area, discusses the limitations of some existing integration tools, and addresses them by proposing a semantic mediator-based approach to virtually integrate enterprise data with large-scale social and linked data. The implementation of the proposed approach is a configurable middleware application and a user-friendly keyword search interface that retrieves its input from internal enterprise data combined with various SPARQL endpoints and Web APIs. An evaluation study was conducted to compare its features with recent integration approaches. The results illustrate the added value and usability of the contributed approach.

scholarly journals A survey of large-scale reasoning on the Web of data

2018 ◽  
Vol 33 ◽  
Author(s):  
Grigoris Antoniou ◽  
Sotiris Batsakis ◽  
Raghava Mutharaju ◽  
Jeff Z. Pan ◽  
Guilin Qi ◽  
...  
Keyword(s):  
Systematic Review ◽  
Social Media ◽  
Parallel Algorithms ◽  
High Performance ◽  
Large Scale ◽  
Open Problems ◽  
Reasoning Systems ◽  
Web Of Data ◽  
Computational Properties ◽  
The Web

AbstractAs more and more data is being generated by sensor networks, social media and organizations, the Web interlinking this wealth of information becomes more complex. This is particularly true for the so-called Web of Data, in which data is semantically enriched and interlinked using ontologies. In this large and uncoordinated environment, reasoning can be used to check the consistency of the data and of associated ontologies, or to infer logical consequences which, in turn, can be used to obtain new insights from the data. However, reasoning approaches need to be scalable in order to enable reasoning over the entire Web of Data. To address this problem, several high-performance reasoning systems, which mainly implement distributed or parallel algorithms, have been proposed in the last few years. These systems differ significantly; for instance in terms of reasoning expressivity, computational properties such as completeness, or reasoning objectives. In order to provide a first complete overview of the field, this paper reports a systematic review of such scalable reasoning approaches over various ontological languages, reporting details about the methods and over the conducted experiments. We highlight the shortcomings of these approaches and discuss some of the open problems related to performing scalable reasoning.

scholarly journals Problem solving methods in a global networked age

2009 ◽  
Vol 23 (4) ◽  
pp. 373-390 ◽  
Author(s):  
John Domingue ◽  
Dieter Fensel
Keyword(s):  
Problem Solving ◽  
Web Service ◽  
Large Scale ◽  
Ad Hoc ◽  
Future Internet ◽  
European Project ◽  
Web Of Data ◽  
Viable Approach ◽  
Semantic Service ◽  
The Web

AbstractWe believe that the future for problem solving method (PSM) derived work is very promising. In short, PSMs provide a solid foundation for creating a semantic layer supporting planetary-scale networks. Moreover, within a world-scale network where billions services are used and created by billions of parties inad hocdynamic fashion we believe that PSM-based mechanisms provide the only viable approach to dealing the sheer scale systematically. Our current experiments in this area are based upon a generic ontology for describing Web services derived from earlier work on PSMs. We outline how platforms based on our ontology can support large-scale networked interactivity in three main areas. Within a large European project we are able to map business level process descriptions to semantic Web service descriptions, to enable business experts to manage and use enterprise processes running in corporate information technology systems. Although highly successful, Web service-based applications predominately run behind corporate firewalls and are far less pervasive on the general Web. Within a second large European project we are extending our semantic service work using the principles underlying the Web and Web 2.0 to transform the Web from a Web of data to one where services are managed and used at large scale. Significant initiatives are now underway in North America, Asia, and Europe to design a new Internet using a “clean-slate” approach to fulfill the demands created by new modes of use and the additional 3 billion users linked to mobile phones. Our investigations within the European-based Future Internet program indicate that a significant opportunity exists for our PSM-derived work to address the key challenges currently identified: scalability, trust, interoperability, pervasive usability, and mobility. We outline one PSM-derived approach as an exemplar.

Linked Data

2012 ◽  
Vol 3 (3) ◽  
pp. 1-12 ◽  
Author(s):  
Ricardo Colomo-Palacios ◽  
José Luis Sánchez-Cervantes ◽  
Giner Alor-Hernández ◽  
Alejandro Rodríguez-González
Keyword(s):  
Semantic Web ◽  
Linked Data ◽  
Large Scale ◽  
Semantic Web Technologies ◽  
Public And Private ◽  
Professional Perspective ◽  
Community Boundaries ◽  
Web Of Data ◽  
Common Framework ◽  
The Web

The Semantic Web provides a common framework that allows data to be shared and reused across application, enterprise, and community boundaries. To make the Semantic Web or Web of Data a reality, it is necessary to have a large volume of data available in a standard, reachable, and manageable format. This collection of interrelated data on the Web can also be referred to as Linked Data. Linked Data is the large scale integration of, and reasoning on, data on the Web. Supporting the adoption of semantic Web technologies, there exist tools oriented to creation, publication, and management of data, and a big subset for Linked Data. However, an important weakness in this area is that it has not completely established a formal reference that integrates the necessary infrastructure in terms of components. This lack implies a slower technological adoption, covering both the public and private sectors. This paper explores the emergence of the Semantic Web and Linked Data, and their potential impact on IT industry. The main advantages of using Linked Data are discussed from an IT professional perspective where the capability of having standard technologies and techniques to access and manipulate the information is an important achievement in the application of Linked Data.

Ciência da Informação e Humanidades Digitais

2019 ◽  
Author(s):  
FRANCISCO CARLOS PALETTA
Keyword(s):  
Labor Market ◽  
Information Literacy ◽  
Digital Library ◽  
Exploratory Study ◽  
Digital Humanities ◽  
Information Science ◽  
Digital Age ◽  
Web Of Data ◽  
The University ◽  
The Web

This work aims to presents partial results on the research project conducted at the Observatory of the Labor Market in Information and Documentation, School of Communications and Arts of the University of São Paulo on Information Science and Digital Humanities. Discusses Digital Humanities and informational literacy. Highlights the evolution of the Web, the digital library and its connections with Digital Humanities. Reflects on the challenges of the Digital Humanities transdisciplinarity and its connections with the Information Science. This is an exploratory study, mainly due to the current and emergence of the theme and the incipient bibliography existing both in Brazil and abroad.Keywords: Digital Humanities; Information Science; Transcisciplinrity; Information Literacy; Web of Data; Digital Age.

Mapping global water projects: improving access to donor investment information on the web

Water Policy ◽  
2003 ◽  
Vol 5 (3) ◽  
pp. 203-212
Author(s):  
J. Lisa Jorgensona
Keyword(s):  
Water Resources ◽  
Web Sites ◽  
Large Scale ◽  
Technical Assistance ◽  
Water Withdrawal ◽  
Small Scale ◽  
Water Projects ◽  
Essential Information ◽  
Water Project ◽  
The Web

This paper discusses a series of discusses how web sites now report international water project information, and maps the combined donor investment in more than 6000 water projects, active since 1995. The maps show donor investment:  • has addressed water scarcity,  • has improved access to improvised water resources,  • correlates with growth in GDP,  • appears to show a correlation with growth in net private capital flow,  • does NOT appear to correlate with growth in GNI. Evaluation indicates problems in the combined water project portfolios for major donor organizations: •difficulties in grouping projects over differing Sector classifications, food security, or agriculture/irrigation is the most difficult.  • inability to map donor projects at the country or river basin level because 60% of the donor projects include no location data (town, province, watershed) in the title or abstracts available on the web sites.  • no means to identify donor projects with utilization of water resources from training or technical assistance.  • no information of the source of water (river, aquifer, rainwater catchment).  • an identifiable quantity of water (withdrawal amounts, or increased water efficiency) is not provided.  • differentiation between large scale verses small scale projects. Recommendation: Major donors need to look at how the web harvests and combines their information, and look at ways to agree on a standard template for project titles to include more essential information. The Japanese (JICA) and the Asian Development Bank provide good models.

OPEN CORE DATA PROJECT: INTEGRATING PHYSICAL SAMPLES INTO THE WEB OF DATA

2017 ◽  
Author(s):  
Stephen Richard ◽  
◽  
Douglas Fils ◽  
Anders Noren ◽  
Kerstin A. Lehnert
Keyword(s):  
Core Data ◽  
Web Of Data ◽  
Open Core ◽  
The Web
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