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Ontology visualization and exploration is not a trivial task as many issues can affect the effectiveness of interactions. As ontologies are, in the general case, quite connected graphs where concepts are the nodes and semantic relationships the edges, the problems include space allocation, edge superposition, scene over-crowding, etc. In this paper we(More)
In this paper we present an unsupervised approach to Query Classification. The approach exploits the Wikipedia encyclopedia as a corpus and the statistical distribution of terms, from both the category labels and the query, in order to select an appropriate category. We have created a classifier that works with 55 categories extracted from the search(More)
In this paper a new approach to ontology visualization is introduced, using a more than 3-dimensional space. The ontology information is represented on a 3D view-port enriched by visual cues. A preliminary application based on the presented principles is described, and results show that the approach is feasible and can actually lead to a more effective(More)
In this paper, we propose a novel approach for inspecting and editing ontologies using a 3D space, where information is represented on a 3D viewport enriched by several visual cues. This approach aims at tackling space allocation issues for ontology visual models by adopting a dynamic collapsing mechanism and different views, at different granularities, for(More)
In our participation to the 2010 LogCLEF track we focused on the analysis of the European Library (TEL) logs and in particular we experimented with the identification of the natural language used in the queries. Language identification is in fact a key task within Cross Language Information Retrieval systems and the challenge is particularly difficult in(More)
The introduction of the semantic Web paradigm in service-oriented architectures enables explicit representation and reasoning about services, via a semantically rich description of their operations. We propose an approach towards service selection and composition based upon the interpretation of user requests expressed through an informal human-computer(More)
In order to handle the increasing amount of textual information today available on the web and exploit the knowledge latent in this mass of unstructured data, a wide variety of linguistic knowledge and resources (Language Identification, Morphological Analysis, Entity Extraction, etc.). is crucial. In the last decade LRaas (Language Resource as a Service)(More)
Ontology exploration or modelling becomes a challenging task when knowledge domains are huge and involve many relationships and restrictions. In such circumstances the ability to inspect and modify only specific parts of a given model may enable designers to achieve better results, by focusing on limited subsets of the domain. The work proposed in this(More)