1 WIKYOTO KNOWLEDGE EDITOR: THE COLLABORATIVE WEB ENVIRONMENT TO MANAGE KYOTO MULTILINGUAL KNOWLEDGE BASE ANDREA MARCHETTI, SALVATORE MINUTOLI, FRANCESCO RONZANO and MAURIZIO TESCONI Institute for Informatics and Telematics, National Research Council CNR Via G. Moruzzi, 1 - Pisa, Italy E-mail: {andrea.machetti,salvatore.minutoli,francesco.ronzano,maurizio.tesconi}@iit.cnr.it Kyoto is a knowledge-driven system for fact mining from a multilingual collection of information sources concerning a specific domain of interest. Facts are mined from relevant documents that are linguistically and semantically annotated exploiting a Multilingual Knowledge Base, made of several language-specific WordNets all referred to a common Central Ontology. In this paper we introduce a core component of KYOTO, the Wikyoto Knoweldge Editor: it is the collaborative Web environment where the multilingual and multicultural community of KYOTO users interacts to maintain and extend, in respect to their particular domain of interest, the background knowledge of KYOTO, constituting the Multilingual Knowledge Base. After an overview of the most relevant examples of collaborative environments to manage knowledge resources, we briefly introduce KYOTO architecture to provide the global context to describe the Wikyoto Knowledge Editor. Thus we focus our attention on the description of the Wikyoto Knowledge Editor, introducing its purpose inside KYOTO, its architecture and its Web-based user interface. By mean of an example, we explain how KYOTO Multilingual Knowledge Base can be browsed and enriched by the Wikyoto Knowledge Editor both thanks to the suggestions provided by the terminology automatically mined from documents in KYOTO and by accessing other external Web resources, like DBpedia. We consider the first working prototype of the Wikyoto Knowledge Editor, implementing a core set of relevant features. In conclusion, we expose our future works summarizing all the features that are planned to be supported in the upcoming versions of the Wikyoto Knolwedge Editor. 1. Introduction: collaborative environments to manage knowledge resources During the last few years, different kinds of collaborative environments have been developed in order to group together and support the interactions among all the actors involved in the process of creation and gradual refinement of knowledge resources, like ontologies or, in general, any semantic and linguistic network. To manage this kind of contents the wiki paradigm has been largely adopted, often in conjunction with the exploitation of Web-based interactions. Moreover, as a consequence of the great diffusion experimented by Semantic Web principles and standards, ontological resources have gained a central role in the Web as the global mean to provide shared conceptualizations to easily exchange and integrate knowledge between different communities of users. Knowledge resources are more and more exploited as the background reference for knowledge-intensive tasks like text mining, semantic grounding of data and information extraction; thus they need to be well structured, often tailored to a particular domain and constantly enriched and kept up to date so as to reflect the changes in the knowledge they describe. Knowledge resources are usually shared among communities of users, often distributed and heterogeneous, that need to reach consensus: users are thus important actors also in their management process. They usually range from experts in knowledge