Abstract. Hierarchical Classications with Attributes are tree-like structures used for organizing/classifying data. Due to the exponential growth and distribution of information across the network, and to the fact that such information is usually clustered by means of this kind of structures, we assist nowadays to an increasing interest in nding techniques to dene mappings among such structures. In this paper, we propose a new algorithm for discovering mappings across hierarchi-cal classications, which faces the matching problem as a problem of deducing relations between sets of logical terms representing the meaning of hierarchical classication nodes.
Learning hierarchical concepts is a central problem in cognitive science. This paper explores the Ne...
In this paper, we propose a method of auto-matically extracting word hierarchies based on the inclus...
summary:First some new concepts are introduced (extension of the similarity-function, similarity-mea...
The goal of this technical report is to describe the theory and the specification of an algorithm fo...
AbstractA hierarchical semantic net is a graph whose nodes represent concepts and whose links repres...
The problem of finding an agreement on the meaning of heterogeneous schemas is one of the key issues...
Abstract. In the domain of many classification problems, classes have relations of dependency that a...
In the domain of many classification problems, classes have relations of dependency that are represe...
Semanti coordination, namely the problem of finding an agreement on the meaning of heterogeneous sem...
In classification problems, especially those that categorize data into a large number of classes, th...
Abstract. Semantic coordination, namely the problem of finding an agreement on the meaning of hetero...
In this paper, we consider the problem of jointly learning hi-erarchies over a set of sources and en...
Hierarchical graphs are a frequent solution for capturing symbolic data due the importance of hierar...
Hierarchies are a natural way for people to organize information, as reflected by the common use of ...
AbstractHierarchical ontologies play a key role in organizing documents in a repository. While match...
Learning hierarchical concepts is a central problem in cognitive science. This paper explores the Ne...
In this paper, we propose a method of auto-matically extracting word hierarchies based on the inclus...
summary:First some new concepts are introduced (extension of the similarity-function, similarity-mea...
The goal of this technical report is to describe the theory and the specification of an algorithm fo...
AbstractA hierarchical semantic net is a graph whose nodes represent concepts and whose links repres...
The problem of finding an agreement on the meaning of heterogeneous schemas is one of the key issues...
Abstract. In the domain of many classification problems, classes have relations of dependency that a...
In the domain of many classification problems, classes have relations of dependency that are represe...
Semanti coordination, namely the problem of finding an agreement on the meaning of heterogeneous sem...
In classification problems, especially those that categorize data into a large number of classes, th...
Abstract. Semantic coordination, namely the problem of finding an agreement on the meaning of hetero...
In this paper, we consider the problem of jointly learning hi-erarchies over a set of sources and en...
Hierarchical graphs are a frequent solution for capturing symbolic data due the importance of hierar...
Hierarchies are a natural way for people to organize information, as reflected by the common use of ...
AbstractHierarchical ontologies play a key role in organizing documents in a repository. While match...
Learning hierarchical concepts is a central problem in cognitive science. This paper explores the Ne...
In this paper, we propose a method of auto-matically extracting word hierarchies based on the inclus...
summary:First some new concepts are introduced (extension of the similarity-function, similarity-mea...