scholarly journals Informatics in Radiology: RADTF: A Semantic Search–enabled, Natural Language Processor–generated Radiology Teaching File

Radiographics ◽  
2010 ◽  
Vol 30 (7) ◽  
pp. 2039-2048 ◽  
Author(s):  
Bao H. Do ◽  
Andrew Wu ◽  
Sandip Biswal ◽  
Aya Kamaya ◽  
Daniel L. Rubin
Keyword(s):  
Natural Language ◽  
Semantic Search ◽  
Teaching File ◽  
Language Processor ◽  
Radiology Teaching

scholarly journals Interactive web-based radiology teaching file

1999 ◽  
Vol 12 (S1) ◽  
pp. 203-204 ◽  
Author(s):  
Mark Zaidel ◽  
Kenneth Hopper ◽  
Tunc Iyriboz
Keyword(s):  
Teaching File ◽  
Web Based ◽  
Radiology Teaching

Evaluating search features of Google Knowledge Graph and Bing Satori

2015 ◽  
Vol 39 (2) ◽  
pp. 197-213 ◽  
Author(s):  
Ahmet Uyar ◽  
Farouk Musa Aliyu
Keyword(s):  
Semantic Web ◽  
Natural Language ◽  
Search Engines ◽  
Web Search ◽  
Semantic Search ◽  
Knowledge Graph ◽  
Content Type ◽  
Query Interfaces ◽  
Natural Language Query ◽  
Web Search Engines

Purpose – The purpose of this paper is to better understand three main aspects of semantic web search engines of Google Knowledge Graph and Bing Satori. The authors investigated: coverage of entity types, the extent of their support for list search services and the capabilities of their natural language query interfaces. Design/methodology/approach – The authors manually submitted selected queries to these two semantic web search engines and evaluated the returned results. To test the coverage of entity types, the authors selected the entity types from Freebase database. To test the capabilities of natural language query interfaces, the authors used a manually developed query data set about US geography. Findings – The results indicate that both semantic search engines cover only the very common entity types. In addition, the list search service is provided for a small percentage of entity types. Moreover, both search engines support queries with very limited complexity and with limited set of recognised terms. Research limitations/implications – Both companies are continually working to improve their semantic web search engines. Therefore, the findings show their capabilities at the time of conducting this research. Practical implications – The results show that in the near future the authors can expect both semantic search engines to expand their entity databases and improve their natural language interfaces. Originality/value – As far as the authors know, this is the first study evaluating any aspect of newly developing semantic web search engines. It shows the current capabilities and limitations of these semantic web search engines. It provides directions to researchers by pointing out the main problems for semantic web search engines.

Internet-accessible radiology teaching file

1995 ◽  
Vol 2 (2) ◽  
pp. 111-113
Author(s):  
J. Keith Smith ◽  
Mauricio Castillo
Keyword(s):  
Teaching File ◽  
Radiology Teaching
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