摘要翻译:
使用由各自的数据标准定义的本体的好处被显示出来。本文介绍了如何使用本体来丰富数据的语义,以及如何实现语义网的愿景。指出了目前实现真正意义上的语义网的道路上存在的问题,指出了不同的语义网标准、工具和开发框架,展望了人工智能和智能体在语义网中搜索和挖掘数据的前景,为从数据管理到信息管理乃至真正意义上的知识管理系统铺平了道路。
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英文标题:
《Data management in Systems biology II - Outlook towards the semantic web》
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作者:
Gerhard Mayer
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最新提交年份:
2009
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Databases 数据库
分类描述:Covers database management, datamining, and data processing. Roughly includes material in ACM Subject Classes E.2, E.5, H.0, H.2, and J.1.
涵盖数据库管理、数据挖掘和数据处理。大致包括ACM学科类E.2、E.5、H.0、H.2和J.1中的材料。
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一级分类:Quantitative Biology 数量生物学
二级分类:Other Quantitative Biology 其他定量生物学
分类描述:Work in quantitative biology that does not fit into the other q-bio classifications
不适合其他q-bio分类的定量生物学工作
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英文摘要:
The benefit of using ontologies, defined by the respective data standards, is shown. It is presented how ontologies can be used for the semantic enrichment of data and how this can contribute to the vision of the semantic web to become true. The problems existing today on the way to a true semantic web are pinpointed, different semantic web standards, tools and development frameworks are overlooked and an outlook towards artificial intelligence and agents for searching and mining the data in the semantic web are given, paving the way from data management to information and in the end true knowledge management systems.
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PDF链接:
https://arxiv.org/pdf/0912.2822