Travel search engine_v0.2_2011_07_05_for_sophia_conf2011
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Presentation for Sophia Conf 2011
![Agenda ,[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)
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Travel search engine_v0.2_2011_07_05_for_sophia_conf2011
- 1. Travel Search Engine SophiaConf - July 2011
- 3. Context
- 5. The Problem
- 12. Future
- 14. Questions ??
Editor's Notes
- - Present myself - Tell why i'm here
- - Entities manipulated: airport, airline, geographical data, - The information came from geonames, ouraiports, amadeus intranet, etc .. - They are stored as: RDFs, txt, cvs, mysql databases ...
- -Failed solutions: - Use all data as XML/YAML/etc and than look for the information: almost impossible to relate data this way, as it would require reading all the file a lot of times, in the worst case, making queries for relate data really slow. - Use a relational database: joining tables is SLOW. SQL is limiting. Is good to notice that, this way, is not always possible to relate all data in polynomial time.
- - Why graphs: - - Why Neo4j: - scalability - graph traversal - how relationship works in neo4j (the meaning) - REST api Talk about the hierarchy to represent city -> Region -> Country -> Continent Technologies used: - Neo4j - PostGIS - Django - Lucene - Jquery - Python - Java - Javascript - HTML - XML - CSS