Bibliographic exploration is important for the management, preservation and creation of IP. Questions like "who is the most significant authority in a specific knowledge area?", "who is a suitable reviewer for a given paper?", "what is the seminal paper in a specific topic?" or "how it is the social network of a researcher?" are questions that many researchers and managers from Academia and industry would like to have responded in a few seconds. This would save them time for other more creative and productive tasks within their organizations.
BIBEX is an innovative software for the exploration of bibliographic and documental repositories. It allows answering those queries and other more sophisticated ones in a fast and synthetic way over huge amount of data. BIBEX stems from the last five years of research and development at UPC, turning our product into a marketable technology, commercialized by Sparsity technologies, a spin out company of UPC. Our technology has been supported and is being used by the Ministry of Science and Innovation of Spain, and by Generalitat de Catalunya.
BIBEX exploits the representation of the data as a network to resolve complex queries with reasonable timing.
Features & Benefits of BIBEX
- Resolves:
- Most referred publications
- Most relevant investigators
- Suggestions for publications
- Suggestions of revisers
- Investigators social networks
- Large data volumes support
- Networks visualization
BIBEX solves, for the first time, those complex queries in very fast execution times for billions of objects in a database. It is based on a technology also developed at UPC, the DEX graph database management system, which has also been used in many other different application areas, like fraud detection, cancer analysis, social network analysis and recommendation systems.
BIBEX Social Network *free demo*
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Do you want to test BIBEX? We are now offering a complete free demo of BIBEX for the Investigators social networks query.
BIBEX social network retrieves authors collaborations inside the DBLP database. Navigate through the social network of an author, obtain authors' curriculum and retrieve with just one click the original articles.