School of Chemistry, University of Southampton, Southampton, UK.
Drug Discov Today. 2009 Jun;14(11-12):552-61. doi: 10.1016/j.drudis.2009.03.007. Epub 2009 Mar 11.
The Semantic Web is beginning to impact on the wider chemical and physical sciences, beyond the earlier adopted bio-informatics. While useful in large-scale data driven science with automated processing, these technologies can also help integrate the work of smaller scale laboratories producing diverse data. The semantics aid the discovery, reliable re-use of data, provide improved provenance and facilitate automated processing by increased resilience to changes in presentation and reduced ambiguity. The Semantic Web, its tools and collections are not yet competitive with well-established solutions to current problems. It is in the reduced cost of instituting solutions to new problems that the versatility of Semantic Web-enabled data and resources will make their mark once the more general-purpose tools are more available.
语义网开始对更广泛的化学和物理科学产生影响，而不仅仅是早期采用的生物信息学。虽然在大规模数据驱动的科学和自动化处理中非常有用，但这些技术也可以帮助整合规模较小的实验室产生的多样化数据的工作。语义学有助于发现、可靠地重用数据，提供更好的出处，并通过提高对表示形式变化的弹性和减少歧义来促进自动化处理。语义网、其工具和集合还没有竞争力，无法与当前问题的成熟解决方案相媲美。只有当更通用的工具更普及时，语义网支持的数据和资源的多功能性才能在解决新问题的成本降低方面发挥作用。
