A Combined Index for Mixed Structured and Unstructured Data

摘要：

　　In big data epoch, one of the major challenges is the large volume of mixed structured and unstructured data,which comes in heterogeneous sources.Because of different form, structured and unstructured data are often considered apart from each other.However, they may speak about the same entities of the world.If a query involve both structured data and its unstructured counterpart, it is inefficient to execute it separately.The paper presents a novel index structure tailored towards the combinations of structured and unstructured data.The combined index is a joint index over structured database and unstructured document, based on entity co-occurrences.It is also a semantic index which describes the semantic relationships between entities and their multiple resources.We store the index as RDF graphs and queries are SPARQL-like.Experiments show that the associated index can not only provide apposite information but also execute queries efficiently.

关键词： index structured data unstructured data semantic index

作者: Chunying Zhu Qingzhong Li Lanju Kong Song Wei

作者单位: Computer Science and Technology Shandong University Jinan, China Shandong Hoteam Software Co., Ltd Jinan, China

会议类型: 国际会议

会议名称: The 12th Web Information System and Application Conference第十二届全国Web信息系统及其应用学术会议(WISA2015)、全国第十次语义Web 与本体论学术研讨会(SWON2015)、全国第九次电子政务技术及应用学术研讨会(EGTA2015)

会议地点: 济南

会议语种:英文

页码: 217-222

在线出版日期: 2015-09-11（万方平台首次上网日期，不代表论文的发表时间）