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The purpose of this paper is to analyze the contribution of e‐learning in the improvement of quality and productivity in hotels.

The methodology is based on an inquiry answered by 34 hotels that are using e‐learning. For this purpose, a survey on five, four and three star hotels, located throughout Portugal, was conducted between January and March 2009.

The research reveals that hotels consider that e‐learning increases productivity and production volume. On the other hand, e‐learning contributes significantly to employees' motivation. The paper also concludes that managers' opinions about e‐learning strategies are dependent on the hotel category and head‐office nationality.

e‐Learning is based on information and communication technology and supports the educational process. Owing to the important results achieved, e‐learning is continuously gaining relevance in hotels, and in educational institutions. As such, analysing the contribution of e‐learning for quality improvement in hotels brings originality to the research whilst adding value to the body of knowledge in the industry.

POWER is an ontology of political processes and entities. It is designed for tracking politicians, political organizations and elections, both in mainstream and social media. The aim of this paper is to propose a data model to describe political agents and their relations over time.

The authors propose a data model to describe political agents (politicans, political instutions and political associations) and their relations over time. The model is formalized as an ontology using the RDF format and the population is performed in two steps. First, a bootstrap process loads data collected from authoritative sources. Then, the ontology is enriched with alternative media names extracted from the web.

The ontology is published as a public resource following the guidelines of linked data and semantic web standards can be accessed via SPARQL endpoint.

The authors have developed an ontology for the political domain tailored to aid in the tasks of named entity recognition and resolution. It represents the complexity and dynamic nature of relations between political agents (politicians, political associations and political institutions) over time.