Graph Database for Collaborative Communities

Autor: Soussi, Rania, Aufaure, Marie-Aude, Baazaoui, Hajer
Přispěvatelé: Mathématiques Appliquées aux Systèmes - EA 4037 (MAS), Ecole Centrale Paris, Laboratoire de recherche en Génie Logiciel, Applications distribuées, Systèmes décisionnels et Imagerie intelligente [Manouba] (RIADI), École Nationale des Sciences de l'Informatique [Manouba] (ENSI), Université de la Manouba [Tunisie] (UMA)-Université de la Manouba [Tunisie] (UMA), Soussi, Rania
Jazyk: angličtina
Rok vydání: 2011
Předmět:
Zdroj: Community-Built Databases
Community-Built Databases, Springer, pp.205-234, 2011
Popis: Data manipulated in an enterprise context are structured data as well as unstructured data such as emails, documents, and social networks. Graphs are a natural way of representing and modeling such data (structured, semistructured, and unstructured ones) in a unified manner. The main advantage of such a structure relies on the dynamic aspect and the capability to represent relations, even multiple ones, between objects. Recent database research work shows a growing interest in the definition of graph models and languages to allow a natural way of presenting data. In this chapter, we provide a survey of the main graph database models and the associated graph query languages. We then present an application using a graph database to extract social networks.
Databáze: OpenAIRE