RoomFort: An Ontology-Based Comfort Management Application for Hotels

Business traveling is attracting growing attention due to the expansion of international markets. This fact calls for an increasing attention of the tourism sector toward the needs of business travellers, who often require services that are different from the ones desired by leisure tourists. The application of smart solutions coming from Context Awareness and Ambient Intelligence aimed at promoting guests’ comfort and well-being, also in cases in which they have special needs, represents a promising solution to tackle business travellers’ requirements and thus, to increase hotels attractiveness and incomes. In this context, this work introduces RoomFort, a smart comfort management system aimed at enhancing comfort of hotel room guests and leveraging on semantic representations of comfort, environment, and sensors. RoomFort provides a set of domain ontologies to formalize comfort-related metrics and to exploit the automatic reasoning capabilities provided by Semantic Web technologies, while gathering data through a network of sensors to ensure guests are provided with tailored comfort profiles during their stays in the hotel. Particular focus has been placed on visual comfort, since indoor lighting features constitute one of the main factors influencing the two main activities that most business travellers accomplish in their hotel room: working and relaxing.

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Semantic Web Technologies for e-Learning: Models and Implementation

Informatica ◽

10.15388/informatica.2015.46 ◽

2015 ◽

Vol 26 (2) ◽

pp. 221-240 ◽

Cited By ~ 2

Author(s):

Valentina Dagienė ◽

Daina Gudonienė ◽

Renata Burbaitė

Keyword(s):

Semantic Web ◽

Learning Models ◽

Semantic Web Technologies ◽

Web Technologies ◽

E Learning

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The Need of Semantic Web Technologies Integration with Web-based Educational System

International Journal of Computer Sciences and Engineering ◽

10.26438/ijcse/v6i7.10101013 ◽

2018 ◽

Vol 6 (7) ◽

pp. 1010-1013

Author(s):

Kalla Madhusudhana

Keyword(s):

Semantic Web ◽

Educational System ◽

Semantic Web Technologies ◽

Web Based ◽

Web Technologies

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Usability Analysis of Andalusian Spas’ Websites

Sustainability ◽

10.3390/su13042307 ◽

2021 ◽

Vol 13 (4) ◽

pp. 2307

Author(s):

Rosa Anaya-Aguilar ◽

German Gemar ◽

Carmen Anaya-Aguilar

Keyword(s):

Sustainable Development ◽

Information And Communication Technologies ◽

Communication Technologies ◽

Web Technologies ◽

New Information ◽

Tourism Sector ◽

Exploratory Investigation ◽

Usability Analysis ◽

Information And Communication ◽

Tourism Websites

Health tourism is booming all over the world, and thermal spa tourism in Spain is a type of tourism aimed at integrating with nature, achieving sustainable development. In general, its facilities are located in areas specially protected by environmental legislation. This tourism sector attracts an increasingly wide market segment that has become more demanding and better informed and that more frequently uses the Internet to gather information. Tourists’ shopping and consumption habits are increasingly influenced by new information and communication technologies (ICTs), making these a topic of interest among academics and professionals. Website development has been shown to be an area of innovation for spa facilities, but evidence has also been found that this sector has experienced difficulty in adopting ICTs. This research sought to analyse spa websites’ usability by conducting an exploratory investigation of different websites’ contents. The results reveal that the use of new web technologies by spas is underdeveloped, although these facilities have achieved good positions in Internet search engines due to the synergistic effect of the official tourism websites. That is why most of them tell their story, detail their nature and the protection of their spaces. In this way, spas turn their websites into communication channels that convey to tourists their commitment to the environment and sustainable development.

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Diverse Taxonomies for Diverse Chemistries: Enhanced Representation of Natural Product Metabolism in UniProtKB

Metabolites ◽

10.3390/metabo11010048 ◽

2021 ◽

Vol 11 (1) ◽

pp. 48

Author(s):

Marc Feuermann ◽

Emmanuel Boutet ◽

Anne Morgat ◽

Kristian Axelsen ◽

Parit Bansal ◽

...

Keyword(s):

Natural Products ◽

Natural Product ◽

Semantic Web Technologies ◽

Knowledge Resources ◽

Web Technologies ◽

Chemical Structures ◽

Biological Interest ◽

Catalyzed Reactions ◽

Enzyme Catalyzed Reactions ◽

Practical Demonstration

The UniProt Knowledgebase UniProtKB is a comprehensive, high-quality, and freely accessible resource of protein sequences and functional annotation that covers genomes and proteomes from tens of thousands of taxa, including a broad range of plants and microorganisms producing natural products of medical, nutritional, and agronomical interest. Here we describe work that enhances the utility of UniProtKB as a support for both the study of natural products and for their discovery. The foundation of this work is an improved representation of natural product metabolism in UniProtKB using Rhea, an expert-curated knowledgebase of biochemical reactions, that is built on the ChEBI (Chemical Entities of Biological Interest) ontology of small molecules. Knowledge of natural products and precursors is captured in ChEBI, enzyme-catalyzed reactions in Rhea, and enzymes in UniProtKB/Swiss-Prot, thereby linking chemical structure data directly to protein knowledge. We provide a practical demonstration of how users can search UniProtKB for protein knowledge relevant to natural products through interactive or programmatic queries using metabolite names and synonyms, chemical identifiers, chemical classes, and chemical structures and show how to federate UniProtKB with other data and knowledge resources and tools using semantic web technologies such as RDF and SPARQL. All UniProtKB data are freely available for download in a broad range of formats for users to further mine or exploit as an annotation source, to enrich other natural product datasets and databases.

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