Ontology matching is a crucial problem in the world of Semantic Web and other distributed, open world applications. Diversity in tools, knowledge, habits, language, interests and usually level of detail may drive in heterogeneity. Thus, many automated applications have been developed, implementing a large variety of matching techniques and similarity measures, with impressive results. However, there are situations where this is not enough and there must be human decision in order to create a link[2]. In this poster we showcase Alignment platform45, a novel tool developed to aid crowdsourced entity linking. Alignment is a collaborative, system aided, user driven ontology matching platform. As previous studies have shown[1], users should not be overwhelmed with too much information, but enough in order to decide if a mapping should be created or not. With this in mind, we designed our GUI to be as minimal as can be with enough utilities to aid users, either domain or ontology engineering experts on the linking work ow. Multiple users can work on the same project and provide their own links simultaneously and interactively. The platform also o ers evaluation and social features, as users can give a positive or negative vote, as well as comment on a speci c link between two entities, providing feedback on the produced linksets. The produced linksets are then automatically available through both a SPARQL endpoint and an API. You can see an overview of a typical work ow in 6 A user (usually an ontology engineer) has to create a 4 http://alignment.okfn.gr 5 http://github.com/okgreece/Alignment 6 https://github.com/okgreece/Alignment/blob/master/readme.md
Alignment: interactive entity linking project within the platform. First it is needed to upload the ontologies he wants to produce a linkset. The ontologies get validated and stored on the platform. Then the user has to de ne which ontology will be used as source and target ontologies consequently. Also he needs to de ne which similarity algorithm will be used for the system provided suggestions. The user can also choose if the project will be private or public, where multiple users can cooperate to create linksets. Then, upon creation of the project, the platform calculates similarities between the entities of the ontologies and renders the GUI. None of the suggestions provided by the system is realised as a valid link, unless some user decide to create the link. Finally, produced linksets can be exported, or send for crowdsourced validation, through the Voting service.
This work has been supported by the OpenBudgets.eu Horizon 2020 project (Grant Agreement 645833).