Name
Abstract | ||
|---|---|---|
As the semantic web vision continues to proliferate a gap still remains in the full scale adoption of such technologies. The exact reasons for this continue to be the subject of ongoing debate, however, it is likely the emergence of reproducible infrastructure and deployments will expedite its adoption. We illustrate the recognizable added value to life science researchers gained through the convergence of existing and customized semantic web technologies (content acquisition pipelines supplying legacy unstructured texts, natural language processing, OWL-DL ontology development and instantiation, reasoning over A-boxes using a visual query tool). The resulting platform allows lipidomic researchers to rapidly navigate large volumes of full-text scientific documents according to recognizable lipid nomenclature, hierarchies and classifications. Specifically we have enabled searches for sentences describing lipid- protein and lipid-disease interactions. |
Year | Venue | Keywords |
|---|---|---|
2007 | FIRST | semantic web,natural language processing |
Field | DocType | Citations |
Data science,Ontology,World Wide Web,Semantic Web Stack,Computer science,Semantic Web,Added value,OWL-S,Social Semantic Web,Hierarchy,Semantic computing | Conference | 0 |
PageRank | References | Authors |
0.34 | 11 | 6 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| K Rajaraman | 1 | 380 | 31.94 |
| Hong Sang Low | 2 | 65 | 3.08 |
| Wee Tiong Ang | 3 | 82 | 6.43 |
| Anitha Veeramani | 4 | 71 | 5.69 |
| Markus Wenk | 5 | 97 | 7.49 |
| christopher j o baker | 6 | 329 | 30.96 |