Figure 2 - uploaded by Kirk Martinez
Content may be subject to copyright.
System overview
Source publication
Europe’s digital cultural heritage content has tremendous exploitation potential in applications such as Education, Publishing, e-Commerce, Public-Access and Tourism. Value is hugely amplified if the content can be aggregated repurposed and distributed at a European level. The eCHASE project seeks to demonstrate that public-private partnerships bet...
Similar publications
![Figure 1 : Ingleside Resort [2]](profile/Nazrita-Ibrahim/publication/221592119/figure/fig1/AS:340811452567554@1458267190589/Ingleside-Resort-2_Q320.jpg)
In tourism industry, reservation or booking through the Internet is now so common; it is becoming the practice among the big or small industry players. However, what is missing and lacking is the concept of virtual imaging that represent the ongoing transaction. For this paper, the focus is visualizing real time reservation for an island-based vaca...
This paper presents the SMARTCITY project experience: customized and dynamic multimedia content production for professional tourism applications.
Citations
... Actually, most of the relevant works carried out in developing semantic Web applications in the field of CH comes from european project or equivalent national ones (e.g. eCHASE[4], Culture Sampo[5], STITCH[6], The Vbi Erat Lvpa [7], STAR [8] and Perseus-Arachne [9] projects). Conversely, our application shows the effectiveness of combining MTs and SWTs even in smaller, region-scale contexts. ...
MANTIC is a Web application that integrates heterogenous and legacy data about the archeology of Milan (Italy); the application
combines semantic Web and mashup technologies. Semantic Web models and technologies supports model-driven and standard-compliant
data integration on the Web; the mashup approach supports a spatial and temporal aware form of information presentation. MANTIC
shows that model-driven information integration applications for cultural heritage can be fast prototyped with limited deployment
effort by combining semantic and mashup technologies. Instead, higher-level modeling aspects need a deep analysis and require
domain expertise.
... This model is then utilized in recommending cultural heritage resources that might be of interest for the user. The use of cultural heritage as an interest domain aids our research due to the existence of semantically marked datasets from previous projects (eg eCHASE [21]). The assumption here is that the frequency of use of certain tags indicates the interest of the user. ...
... This model is then utilized in recommending cultural heritage resources that might be of interest for the user. The use of cultural heritage as an interest domain aids our research due to the existence of semantically marked-up s from previous projects (eg eCHASE [21]). The assumption here is that the frequency of use of certain tags indicates the interest of the user. ...
Web-based knowledge systems support an impressive and growing amount of information. Among the difficulties faced by these systems is the problem of overwhelming the user with a vast amount of data, often referred to as information overload. The problem has escalated with the ever increasing issues of time constraints and the extensive use of handheld devices. The use of context is one possible way out helping with this situation. To provide a more robust approach to context gathering we propose the use of Social Web technologies alongside the Semantic Web. As the social web is heavily used it could provide a better understanding of a user’s interests and intentions. The proposed system gathers information about users from their social web identities and enriches it with ontological knowledge. Thus an interest model for the user can be created which can serve as a good source of contextual knowledge. This work bridges the gap between the user and system searches by analyzing the virtual existence of a user and making interesting recommendations accordingly.
... ARTISTE/SCULPTEUR/eCHASE [23] [28] [29] ...
The Semantic Web is rapidly maturing thanks to consolidation of its technologies and an incipient body of linked data available to the public. Nevertheless, there is a danger that we may throw the baby out with the bathwater. Whilst the utility of bridging separate conceptualizations of a domain through explicit specifications (ontologies) is clear, it does not follow that we want to abandon the original data models. The purpose of this research will be to investigate SW methodologies that loosely-couple local ontologies so that the semantic structures they embody are still accessible to the end-user for comparison and analysis.
The discipline of archaeology provides an excellent case-study in this regard. The fragmentary nature of its sources, and the diverse theoretical approaches of its practitioners render any attempt to establish a universal ‘world-view’ impossible. The result, whilst superficially homogenous, conceals conceptual rifts which may be of great significance. The need to express one’s work in terms of another’s ontology can also give rise to concerns of disenfranchisement that impede user adoption. A successful Semantic Web methodology should first permit contributors to describe their own data in their own (ontological) terms, and then provide the resources by which any user can create (or select) alignments to other Domain or Application ontologies.
This research aims to develop a process by which resource providers are able to publish their data to the Semantic Web in a manner that keeps its semantic origins as transparent as possible via an explicit ontology. Thereafter, alignment should be made possible in a ‘pluggable’ fashion so that alternative combinations of meaning can be explored. Its primary output will be the TRANSLATION Framework: a piece of modular open source software deployed as a case study to explore the benefits of Semantic technologies. This report is intended to provide both computer scientists and archaeologists with a plan of the work to be undertaken.
... The use of cultural heritage as an interest domain here, aids our research due to the existence of semantically marked-up datasets from previous projects (e.g. eCHASE [2]). This provides a strong base for testing our proposed ideas. ...
This research explores the potential of utilizing social-web data as a
source of contextual information for searching and information retrieval tasks.
While using a semantic and ontological approach to do so, it works towards a
support system for providing adaptive and personalized recommendation of
Cultural Heritage Resources.
This book constitutes the refereed proceedings of the 3rd European Semantic Web Conference, ESWC 2006, held in Budva, Montenegro in June 2006. The 48 revised full papers presented together with abstracts of 3 invited talks were carefully reviewed and selected from a total of 181 submitted papers. The papers are organized in topical sections on ontology alignment, engineering, evaluation, evolution and learning, rules and reasoning, searching and querying, semantic annotation, semantic web mining and personalisation, semantic web services, semantic wiki and blogging, as well as trust and policies.
The Semantic Web initiative has faced accusations that difficulties associated with its adoption can outweigh the perceived benefits of data-sharing. This paper discusses means by which data-driven microproviders – owners of the small but important datasets that tend to form the ‘long tail’ of academic data in the Humanities – can be helped to contribute to the Web of Data.
