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Machine learning based query term weight and synonym analyzer for query expansion. LucQE - open-source, Java. Provides a framework along with several implementations that allow to perform query expansion with the use of Apache Lucene. Xapian is an open-source search library which includes support for query expansion; ReQue open-source, Python ...
Question answering systems have been extended in recent [may be outdated as of April 2023] years to encompass additional domains of knowledge [21] For example, systems have been developed to automatically answer temporal and geospatial questions, questions of definition and terminology, biographical questions, multilingual questions, and ...
Broadly, query languages can be classified according to whether they are database query languages or information retrieval query languages. The difference is that a database query language attempts to give factual answers to factual questions, while an information retrieval query language attempts to find documents containing information that is relevant to an area of inquiry.
[6]: 67 Candidates answering questions should consider the use of technology in the present and future, and user scenarios. Some questions involve projects that the candidate has worked on in the past. A coding interview is intended to seek out creative thinkers and those who can adapt their solutions to rapidly changing and dynamic scenarios.
This category lists those domain-specific programming languages targeted at performing database queries. Subcategories This category has the following 5 subcategories, out of 5 total.
In 1998 Soininen and Niemelä [6] applied what is now known as answer set programming to the problem of product configuration. [4] In 1999, the term "answer set programming" appeared for the first time in a book The Logic Programming Paradigm as the title of a collection of two papers. [4]
Consequently, a literature sprang up in which many query languages and language constructs were compared on the basis of expressive power and efficiency, e.g. various versions of Datalog. [7] Similar considerations apply for query languages on other types of data, e.g. XML query languages such as XQuery.
The programming model becomes what a SQL statement would be like with multiple WHERE clauses. The combination of list-aware subjects and objects plus a pipeline approach can yield extremely expressive queries spanning many different domains of data. Here is a more comprehensive example that illustrates the pipeline using some syntax shortcuts.