Specialized Query Language Research Articles

ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research): a user-friendly interface for knowledge graph mining.

Knowledge graphs are being increasingly used in biomedical research to link large amounts of heterogenous data and facilitate reasoning across diverse knowledge sources. Wider adoption and exploration of knowledge graphs in the biomedical research community is limited by requirements to understand the underlying graph structure in terms of entity types and relationships, represented as nodes and edges, respectively, and learn specialized query languages for graph mining and exploration. We have developed a user-friendly interface dubbed ExEmPLAR (Extracting, Exploring, and Embedding Pathways Leading to Actionable Research) to aid reasoning over biomedical knowledge graphs and assist with data-driven research and hypothesis generation. We explain the key functionalities of ExEmPLAR and demonstrate its use with a case study considering the relationship of Trypanosoma cruzi, the etiological agent of Chagas disease, to frequently associated cardiovascular conditions. ExEmPLAR is freely accessible at https://www.exemplar.mml.unc.edu/. For code and instructions for the using the application, see: https://github.com/beasleyjonm/AOP-COP-Path-Extractor.

Finding interactive 3D objects by their interaction properties

The problem of metadata for interactive 3D objects has appeared very recently. It is significant due to the growing demand for interactive applications of 3D technologies. Time required to prepare such applications depends strongly on availability of reusable interactive 3D objects. Easy access to such objects can be increased by search solutions that cover not only object geometry and semantics but also object interactions. However, existing metadata standards provide tools only for general, technical and semantic descriptions of objects. The missing elements of object description solution are metadata of object interactions and an optimized query language. In our previous research we have developed an extensible solution for describing interactions of 3D objects. In this paper, we present the second missing element, a specification of a special query language that enables efficient usage of the interaction metadata.

Supporting Spatial Semantics with SPARQL

AbstractThough the intersection of spatial data and semantic web technologies holds significant promise, there are still many challenges before this promise can be realized. One of these challenges is query representation. History suggests that an appropriate solution is a specialized query language for spatial data; however, with a broad interpretation of the SPARQL specification and extensions that would be useful outside the spatial realm, one can use SPARQL to query spatial concepts effectively. This article establishes a set of desiderata for a query language capable of dealing with spatial Semantic Web‐based data, discusses the challenges facing such a query language, and addresses these challenges with straightforward solutions that are broadly applicable. The effectiveness of these extensions is demonstrated using example queries.

A computer-aided modeling system for geobased data

A FORTRAN subroutine was developed to enable a non-programmer to access, compare, and map two or more different variables within a geobased data system. The input to this subroutine is a small specialized query language which allows the user to control the modeling process. The subroutine is then used in conjunction with a FORTRAN main program and run in batch mode.