TourismKG 2018 - 1st International Workshop on Knowledge Graphs on Travel and Tourism (TourismKG 2018)
Topics/Call fo Papers
1st International Workshop on Knowledge Graphs on Travel and Tourism (TourismKG 2018) is a half-day workshop at the 18th International Conference on Web Engineering (ICWE 2018).
Travel and Tourism is a multibillion-dollar industry having a major impact on the global economy. An increasing number of people use applications on the Web to plan their trips. Although current applications are focused on humans, in the era of Big Data and Artificial Intelligence, there is a need for machine-readable data.
Semantic Web techniques such as ontologies or vocabularies allow domain experts to represent knowledge with explicit semantics in a machine-readable way. Besides, datasets can be transformed and integrated with this knowledge in order to create the so-called Knowledge Graphs. Such Knowledge Graphs, together with Machine Learning techniques, are used by popular applications such as Siri, Google Now, or Alexa. The success of these applications depends on the existence of high-quality knowledge graphs.
While Knowledge Graphs have been successfully used in other domains such as finance, medical or e-commerce, little attention has been paid to apply these technologies in the Tourism and Travel industry. Thus, the goal of this workshop is to raise the awareness of the importance of Knowledge Graphs on the travel industry and discuss their usage, challenges, enhancement, and ways of commercial exploitation.
Workshop structure: Although it will be adapted to the variety and content of accepted papers, we consider a keynote, paper presentations, and hands-on (DBpedia quality enhancement techniques, including the Spanish DBpedia as a source of local infomation).
Travel and Tourism is a multibillion-dollar industry having a major impact on the global economy. An increasing number of people use applications on the Web to plan their trips. Although current applications are focused on humans, in the era of Big Data and Artificial Intelligence, there is a need for machine-readable data.
Semantic Web techniques such as ontologies or vocabularies allow domain experts to represent knowledge with explicit semantics in a machine-readable way. Besides, datasets can be transformed and integrated with this knowledge in order to create the so-called Knowledge Graphs. Such Knowledge Graphs, together with Machine Learning techniques, are used by popular applications such as Siri, Google Now, or Alexa. The success of these applications depends on the existence of high-quality knowledge graphs.
While Knowledge Graphs have been successfully used in other domains such as finance, medical or e-commerce, little attention has been paid to apply these technologies in the Tourism and Travel industry. Thus, the goal of this workshop is to raise the awareness of the importance of Knowledge Graphs on the travel industry and discuss their usage, challenges, enhancement, and ways of commercial exploitation.
Workshop structure: Although it will be adapted to the variety and content of accepted papers, we consider a keynote, paper presentations, and hands-on (DBpedia quality enhancement techniques, including the Spanish DBpedia as a source of local infomation).
Other CFPs
- International Workshop on Engineering Open Data (WEOD)
- 4th International Workshop on Knowledge Discovery on the Web
- 2018 IEEE International Smart Cities Conference
- 18th IEEE International Conference on BioInformatics and BioEngineering
- 2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM18)
Last modified: 2018-03-04 15:58:25