scholarly journals Information Integration with Provenance on the Semantic Web via Probabilistic Datalog+/–

Author(s):  
Thomas Lukasiewicz ◽  
Maria Vanina Martinez ◽  
Livia Predoiu ◽  
Gerardo I. Simari
Author(s):  
Salvador Miranda Lima ◽  
José Moreira

The emergence of the World Wide Web made available massive amounts of data. This data, created and disseminated from many different sources, is prepared and linked in a way that is well-suited for display purposes, but automation, integration, interoperability or context-oriented search can hardly be implemented. Hence, the Semantic Web aims at promoting global information integration and semantic interoperability, through the use of metadata, ontologies and inference mechanisms. This chapter presents a Semantic Model for Tourism (SeMoT), designed for building Semantic Web enabled applications for the planning and management of touristic itineraries, taking into account the new requirements of more demanding and culturally evolved tourists. It includes an introduction to relevant tourism concepts, an overview of current trends in Web Semantics research and a presentation of the architecture, main features and a selection of representative ontologies that compose the SeMoT.


Author(s):  
Kaladevi Ramar ◽  
Geetha Gurunathan

Huge volume of information is available in the WWW. However, the demand is on relevant information rather than available information, which are often heterogeneous and distributed. Agriculture is one such domain, which includes information like soil, crops, weather, etc., under one roof. This information is in different representations and structures e.g. weather. This scenario leads to a challenge that how to integrate the available and heterogeneous agricultural information to deliver better production. The information on the web is syntactically structured but, the need is to provide semantic linkage. The semantic web supports the existing web to easily process and interpret information. In this paper, a semantic based Agricultural Information System (AIS) is proposed which addresses heterogeneity issues among weather systems and integrates information like soil, weather, crop and fertilizers. AIS helps the farmers regarding the type of crop/soil, crop/climate, fertilizer applications, diseases and prevention methods using effective retrieval of information from integrated systems.


Author(s):  
Maria João Viamonte

With the increasing importance of e-commerce across the Internet, the need for software agents to support both customers and suppliers in buying and selling goods/services is growing rapidly. It is becoming increasingly evident that in a few years the Internet will host a large number of interacting software agents. Most of them will be economically motivated, and will negotiate a variety of goods and services. It is therefore important to consider the economic incentives and behaviours of e-commerce software agents, and to use all available means to anticipate their collective interactions. Even more fundamental than these issues, however, is the very nature of the various actors that are involved in e-commerce transactions. This leads to different conceptualizations of the needs and capabilities, giving rise to semantic incompatibilities between them. Ontologies have an important role in Multi-Agent Systems communication and provide a vocabulary to be used in the communication between agents. It is hard to find two agents using precisely the same vocabulary. They usually have a heterogeneous private vocabulary defined in their own private ontology. In order to provide help in the conversation among different agents, we are proposing what we call ontology-services to facilitate agents’ interoperability. More specifically, we propose an ontology-based information integration approach, exploiting the ontology mapping paradigm, by aligning consumer needs and the market capacities, in a semi-automatic mode. We propose a new approach for the combination of the use of agent-based electronic markets based on Semantic Web technology, improved by the application and exploitation of the information and trust relationships captured by the social networks.


2014 ◽  
pp. 74-85
Author(s):  
O. Novytskyi

This paper presents a several of theoretical ideas and applied technology that can be embodied in the creation of Semantic Digital Library (SDL). In particular, considerable attention paid to how the Semantic Web technology is used in various aspects of DL. A basic level in the DL that may be carriers of semantic description. Described the advantages of this approach. It also highlights issues that arise during the integration of classical electronic libraries and Semantic Web a place in these processes. Made a brief overview of the world’s leading projects to create DL using Semantic Web.


Author(s):  
Ferran Perdrix ◽  
Juan Manuel Gimeno ◽  
Rosa Gil ◽  
Marta Oliva ◽  
Roberto García

Newspapers in the digitalisation and Internet era are evolving from mono-channel and static communication mediums to highly dynamic and multi-channel ones, where the different channels converge into a unified news editorial office. Advanced computerised support is needed in order to cope with the requirements arising from convergent multimedia news management, production and delivery. Such advanced services require machines to be aware of a greater part of the underlying semantics. Ontologies are a clear candidate to put this semantics into play, and Semantic Web technologies the best choice for Webwide information integration. However, newspapers have made great investments in their current news management systems so a smooth transition is required in order to reduce implementation costs. Our proposal is to build an ontological framework based on existing journalism and multimedia standards and to translate existing metadata to the Semantic Web. Once in a semantic space, data integration and news management and retrieval are facilitated enormously. For instance, Semantic Web tools are being developed in the context of a media house that are capable of dealing with the different kinds of media managed in the media house in an integrated and transparent way.


Author(s):  
Dimitre A. Dimitrov ◽  
Jeff Heflin ◽  
Abir Qasem ◽  
Nanbor Wang

Author(s):  
Seán O’Riain ◽  
Andreas Harth ◽  
Edward Curry

With increased dependence on efficient use and inclusion of diverse corporate and Web based data sources for business information analysis, financial information providers will increasingly need agile information integration capabilities. Linked Data is a set of technologies and best practices that provide such a level of agility for information integration, access, and use. Current approaches struggle to cope with multiple data sources inclusion in near real-time, and have looked to Semantic Web technologies for assistance with infrastructure access, and dealing with multiple data formats and their vocabularies. This chapter discusses the challenges of financial data integration, provides the component architecture of Web enabled financial data integration and outlines the emergence of a financial ecosystem, based upon existing Web standards usage. Introductions to Semantic Web technologies are given, and the chapter supports this with insight and discussion gathered from multiple financial services use case implementations. Finally, best practice for integrating Web data based on the Linked Data principles and emergent areas are described.


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