Users-groups matching in an annotation system: Ontological and URL relevance measures

Relevance measures for the creation of groups in an annotation system

“…The same measure is also used to match domains with users (represented by their annotations) in order to recommend groups to users and users to groups. This work represents a continuation of the research presented in [1, 15,2] where ontology-based groups-users matching was introduced and its mathematical basis given.…”

“…In particular, we overcome some limitations of the Class Match Measure (CMM) adopted in previous works [1,2], which, although providing meaningful results, depends on a single termontology matching, and does not consider the relations among the ontology concepts that match the terms provided by the user. Hence, we turn to social networks analysis where centrality measures consider the roles played in the network topology by a given node or set of nodes.…”

“…groups). Experimental tests showed that automatic suggestions significantly reduced the time spent in looking for proper choices [2]. At the basis of the matching process is the association of groups with ontologies whose concepts (used as terms) are representative of the group objectives [7].…”

An interactive tool for sketch-based annotation

“…an image) and components within it. Despite this, most of these tools are designed to treat only a single type of item (e.g., images), whereas MADCOW can treat different types of item in a Web page, and support private, public and group-based annotations [21,22] with this novel modality of interaction.…”