RDF Resource Search and Exploration with LinkZoo

Autor:	George Alexiou, Marios Meimaris, Katerina Gkirtzou, George Papastefanatos, Theodore Dalamagas
Rok vydání:	2015
Předmět:	Information retrieval Natural language user interface Computer science RDF Schema InformationSystems_INFORMATIONSTORAGEANDRETRIEVAL computer.file_format Linked data World Wide Web Named graph SPARQL RDF computer Data Web RDF query language computer.programming_language
Zdroj:	DATA Scopus-Elsevier
DOI:	10.5220/0005499602320239
Popis:	The Linked Data paradigm is the most common practice for publishing, sharing and managing information in the Data Web. Linkzoo is an IT infrastructure for collaborative publishing, annotating and sharing of Data Web resources, and their publication as Linked Data. In this paper, we overview LinkZoo and its main components, and we focus on the search facilities provided to retrieve and explore RDF resources. Two search services are presented: (1) an interactive, two-step keyword search service, where live natural language query suggestions are given to the user based on the input keywords and the resource types they match within LinkZoo, and (2) a keyword search service for exploring remote SPARQL endpoints that automatically generates a set of candidate SPARQL queries, i.e., SPARQL queries that try to capture userâ??s information needs as expressed by the keywords used. Finally, we demonstrate the search functionalities through a use case drawn from the life sciences domain.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6fd51548877befd979afcf0d8a8899e5 https://doi.org/10.5220/0005499602320239 Zobrazit plný text záznamu