BioSearch

A BioSearch is a Semantic Search System that is an Ontology-based Query Answering System.

• Context:
  • It composed by the following four components:
    • an EASE-based user interface;
    • a Ontology Matching System;
    • a Mapping-based Query Answering System;
    • a Entity Browsing and Faceted Filtering System.
  • It was developed by Hu et al. (2017).
• Example(s):
  • …
• Counter-Example(s):
  • SemEHR (Wu et al.,2018),
  • SemSearch (Lei et al., 2006);
  • Squiggle (Celino et al., 2006)
  • Open Semantic Search,
  • EKOSS System.
• See: Semantic Web, Ontology Search System, Natural Language Processing, Search System.

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References

2017

• (Hu et al., 2017) ⇒ Wei Hu, Honglei Qiu, Jiacheng Huang, and Michel Dumontier. (2017). “BioSearch: A Semantic Search Engine for Bio2RDF.” In: Database (Oxford) Journal, 2017. doi:10.1093/database/bax059
  • QUOTE: In this paper, we introduce BioSearch, a semantic search engine that leverages semantic search and ontology-based query answering over a wide range of life science Linked Data, obtained from Bio2RDF.

    (...) The architecture of BioSearch is depicted in Figure 1, which follows the widely-used Client-Server paradigm (more specifically, the Browser-Server paradigm) providing the system with high bandwidth, processing and storage on a large amount of data. Furthermore, the Global-as-View (GAV, )) solution is chosen for data integration, because it is very efficient for query processing and the used datasets are not frequently updated. This flexible architecture enables us to continue adding more life science datasets without paying much extra effort.

    

    Figure 1. BioSearch architecture.

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