title: Collaboration Spotting for oral medicine.
abstract: OBJECTIVE
  The goal of the Collaboration Spotting project is to create an automatic system to collect information about publications and patents related to a given technology, to identify the key players involved, and to highlight collaborations and related technologies. The collected information can be visualized in a web browser as interactive graphical maps showing in an intuitive way the players and their collaborations (Sociogram) and the relations among the technologies (Technogram). We propose to use the system to study technologies related to oral medicine.
  
  
  METHODS
  In order to create a sociogram, we create a logical filter based on a set of keywords related to the technology under study. This filter is used to extract a list of publications from the Web of Science™ database. The list is validated by an expert in the technology and sent to CERN where it is inserted in the Collaboration Spotting database. Here, an automatic software system uses the data to generate the final maps.
  
  
  RESULTS
  We studied a set of recent technologies related to bone regeneration procedures of oro-maxillo-facial critical size defects, namely the use of porous hydroxyapatite (HA) as a bone substitute alone (bone graft) or as a tridimensional support (scaffold) for insemination and differentiation ex vivo of mesenchymal stem cells. We produced the sociograms for these technologies and the resulting maps are now accessible on-line.
  
  
  CONCLUSIONS
  The Collaboration Spotting system allows the automatic creation of interactive maps to show the current and historical state of research on a specific technology. These maps are an ideal tool both for researchers who want to assess the state-of-the-art in a given technology, and for research organizations who want to evaluate their contribution to the technological development in a given field. We demonstrated that the system can be used in oral medicine as is produced the maps for an initial set of technologies in this field. We now plan to enlarge the set of mapped technologies in order to make the Collaboration Spotting system a useful reference tool for oral medicine research.
authors.affiliation: Istituto Nazionale di Fisica Nucleare (INFN) Sezione di Roma, Rome, Italy - emanuele.leonardi@roma1.infn.it.
authors.forename: E
authors.initials: E
authors.lastname: Leonardi
authors.forename: A
authors.initials: A
authors.lastname: Agocs
authors.forename: S
authors.initials: S
authors.lastname: Fragkiskos
authors.forename: N
authors.initials: N
authors.lastname: Kasfikis
authors.forename: J M
authors.initials: JM
authors.lastname: Le Goff
authors.forename: M P
authors.initials: MP
authors.lastname: Cristalli
authors.forename: V
authors.initials: V
authors.lastname: Luzzi
authors.forename: A
authors.initials: A
authors.lastname: Polimeni
mesh_terms: D048048:Dental Informatics; D007558:Italy; D019242:Oral Medicine / Q000379:methods