Gram: a graph data model and query languages
ECHT '92 Proceedings of the ACM conference on Hypertext
GOOD: a graph-oriented object database system
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
GRAS, a graph oriented (software) engineering database system
Information Systems
Algorithms for Searching Massive Graphs
IEEE Transactions on Knowledge and Data Engineering
GraphDB: Modeling and Querying Graphs in Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
Keyword Searching and Browsing in Databases using BANKS
ICDE '02 Proceedings of the 18th International Conference on Data Engineering
Précis: The Essence of a Query Answer
ICDE '06 Proceedings of the 22nd International Conference on Data Engineering
Dex: high-performance exploration on large graphs for information retrieval
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Querying RDF data from a graph database perspective
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
A model for automatic generation of multi-partite graphs from arbitrary data
WAIM'10 Proceedings of the 2010 international conference on Web-age information management
Social based layouts for the increase of locality in graph operations
DASFAA'11 Proceedings of the 16th international conference on Database systems for advanced applications - Volume Part I
| Hi-index | 0.00 |
In this demonstration we show the Bibliographic Exploration tool BIBEX. BIBEX is based on the graph database query engine DEX and integrates both the Citeseer and DBLP databases. BIBEX can be found in our web site at www.dama.upc.edu/bibex. BIBEX allows for complex bibliographic search and shows the results of its queries as a combination of graphs and text for two types of scenarios: scientists who want to do complex bibliographic search, and PC members and journal editors who want to have an aid to search best suited reviewers that do not have conflicts of interest with the authors of papers submitted for review. The tool allows to explore the relation between authors, keywords and papers in such a way that a user may perform a complex bibliographic search to investigate the who is who in specific areas of research.