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Table 1 Comparison of semantic search engines

From: GoWeb: a semantic search engine for the life science web

ontologies (1) implicit through RDF, (2) GO, (3) MeSH
textmining (4) NLP, (5) label extraction, (6) Ontology terminology, (7) biomedical entities, (8) Wikipedia terminology
type of documents (9) RDF related, (10) web pages, (11) snippets, (12) abstracts, (13) fulltext
clustering of results (14) RDF types, (15) extracted categories, (16) textual labels, (17) ontology, (18) answers, (19) query aspects
result type (20) RDF resource, (21) extracted text, (22) answer, (23) snippet, (24) sentence, (25) fulltext, (26) cluster, (27) induced ontology, (28) abstract
Semantic Search Engines structured/unstructured ontologies textmining number of documents type of documents clustering of results result type highlighting scientifically evaluated
Swoogle rdf 1   Mio 9   20   yes
SWSE rdf 1   Mio 9 14 20   yes
Sindice rdf 1   Mio 9   20   yes
Watson rdf 1   Mio 9   20   yes
Falcons rdf 1   Mio 9 14 20 yes yes
CORESE rdf 1   Mio 9   20   yes
WikiDB rdf 1   Mio 9   20   
Hakia txt   4 Bio 10 15 21 yes  
START txt   4 Bio 10   22   yes
Ask.com txt   4 Bio 10   23   
BrainBoost txt   4 Bio 10   24 yes  
AnswerBus txt   4 Bio 10   25 yes  
Cuil txt   4,8 Bio 10 15 21 yes  
Clusty txt   5 Bio 10 16 23,26 yes  
Carrot txt   5 Bio 11 16 23,26 yes yes
PowerSet wiki   4,8 Mio 10 15 23,25 yes  
QuAliM wiki/txt   4,8 Mio 11,10   22   yes
GoWeb txt 2,3 6,7,8 Bio 11 17 23,27 yes yes
askMedline xml 3   Mio 12   28   yes
EAGLi xml 2 4,6 Mio 12 18 22,28 yes yes
GoPubMed xml 2,3 6,7,8 Mio 12 17 23,27,28 yes yes
ClusterMed xml 3 5 Mio 12 16 26,28 yes yes
IHop xml 3 6,7 Mio 12 19 24,28 yes yes
EBIMed xml 2,3 6,7 Mio 12 17 24,27 yes yes
XplorMed xml 3 5,6 Mio 12 17 21,28 yes yes
Textpresso xml 2 6 Mio 13 17 28 yes yes
Chilibot xml   7 Mio 12   24 yes yes