Building a Structured Query Engine
This addresses the need for better information retrieval in domains requiring pattern-based queries, but it appears incremental as it builds on existing concepts like ElasticSearch.
The authors tackled the problem of complex search requirements beyond simple string matching by building a structured query engine similar to ElasticSearch, achieving real-time indexing and retrieval through a RESTful API and efficient data structures, with an example application in a movie recommendation system.
Finding patterns in data and being able to retrieve information from those patterns is an important task in Information retrieval. Complex search requirements which are not fulfilled by simple string matching and require exploring certain patterns in data demand a better query engine that can support searching via structured queries. In this article, we built a structured query engine which supports searching data through structured queries on the lines of ElasticSearch. We will show how we achieved real time indexing and retrieving of data through a RESTful API and how complex queries can be created and processed using efficient data structures we created for storing the data in structured way. Finally, we will conclude with an example of movie recommendation system built on top of this query engine.