scholarly journals Top-k Ranked Document Search in General Text Databases

Author(s):  
J. Shane Culpepper ◽  
Gonzalo Navarro ◽  
Simon J. Puglisi ◽  
Andrew Turpin
2006 ◽  
Vol 45 (94) ◽  
pp. 191-206 ◽  
Author(s):  
John D. Kawula ◽  
Arlene Weible
Keyword(s):  

2000 ◽  
Vol 18 (1) ◽  
pp. 49-60 ◽  
Author(s):  
Shinichi Shimozono ◽  
Hiroki Arimura ◽  
Setsuo Arikawa

SIGIR ’94 ◽  
1994 ◽  
pp. 260-270 ◽  
Author(s):  
Jack G. Conrad ◽  
Mary Hunter Utt

Semantic Web ◽  
2021 ◽  
pp. 1-27
Author(s):  
Ahmet Soylu ◽  
Oscar Corcho ◽  
Brian Elvesæter ◽  
Carlos Badenes-Olmedo ◽  
Tom Blount ◽  
...  

Public procurement is a large market affecting almost every organisation and individual; therefore, governments need to ensure its efficiency, transparency, and accountability, while creating healthy, competitive, and vibrant economies. In this context, open data initiatives and integration of data from multiple sources across national borders could transform the procurement market by such as lowering the barriers of entry for smaller suppliers and encouraging healthier competition, in particular by enabling cross-border bids. Increasingly more open data is published in the public sector; however, these are created and maintained in siloes and are not straightforward to reuse or maintain because of technical heterogeneity, lack of quality, insufficient metadata, or missing links to related domains. To this end, we developed an open linked data platform, called TheyBuyForYou, consisting of a set of modular APIs and ontologies to publish, curate, integrate, analyse, and visualise an EU-wide, cross-border, and cross-lingual procurement knowledge graph. We developed advanced tools and services on top of the knowledge graph for anomaly detection, cross-lingual document search, and data storytelling. This article describes the TheyBuyForYou platform and knowledge graph, reports their adoption by different stakeholders and challenges and experiences we went through while creating them, and demonstrates the usefulness of Semantic Web and Linked Data technologies for enhancing public procurement.


2018 ◽  
Vol 5 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Tae-Sul Seo

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