We present a lightweight framework for processing uncertain emergent knowledge that comes from multiple resources with varying relevance. The framework is essentially RDF-compatibl...
This paper presents a new relevance feedback method for content-based image retrieval using local image features. This method adopts a genetic programming approach to learn user p...
Jefersson Alex dos Santos, Cristiano D. Ferreira, ...
Training a 3D model classifier on a small dataset is very challenging. However, large datasets of partially classified models are now commonly available online. We use an external...
Abstract. The WSMO-MX matchmaker applies different matching filters to retrieve WSMO-oriented service descriptions that are semantically relevant to a given query with respect to...
Despite the fact that thousands of applications manipulate plans, there has been no work to date on managing large databases of plans. In this paper, we first propose a formal mod...
Fusun Yaman, Sibel Adali, Dana S. Nau, Maria Luisa...