XBiT: An XML-Based Bitemporal Data Model
نویسندگان
چکیده
Past research work on modeling and managing temporal information has, so far, failed to elicit support in commercial database systems. The increasing popularity of XML offers a unique opportunity to change this situation, inasmuch as XML and XQuery support temporal information much better than relational tables and SQL. This is the important conclusion claimed in this paper where we show that valid-time, transaction-time, and bitemporal databases can be naturally viewed in XML using temporally-grouped data models. Then, we show that complex historical queries, that would be very difficult to express in SQL on relational tables, can now be easily expressed in standard XQuery on such XML-based representations. We first discuss the management of transaction-time and valid-time histories and then extend our approach to bitemporal histories. The approach can be generalized naturally to support the temporal management of arbitrary XML documents and queries on their version history.
منابع مشابه
خوشهبندی فراابتکاری اسناد فارسی اِکساِماِل مبتنی بر شباهت ساختاری و محتوایی
Due to the increasing number of documents, XML, effectively organize these documents in order to retrieve useful information from them is essential. A possible solution is performed on the clustering of XML documents in order to discover knowledge. Clustering XML documents is a key issue of how to measure the similarity between XML documents. Conventional clustering of text documents using a do...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملAn attribute or tuple timestamping in bitemporal relational databases
Much of the research on bitemporal databases has focused on the modeling of time-related data with either attribute or tuple timestamping. While the attribute-timestamping approach attaches bitemporal data to attributes, the tuple-timestamping approach splits the object’s history into several tuples. Although there have been numerous studies on bitemporal data models, there is no work contrasti...
متن کاملApply Uncertainty in Document-Oriented Database (MongoDB) Using F-XML
As moving to big data world where data is increasing in unstructured way with high velocity, there is a need of data-store to store this bundle amount of data. Traditionally, relational databases are used which are now not compatible to handle this large amount of data, so it is needed to move on to non-relational data-stores. In the current study, we have proposed an extension of the Mongo...
متن کاملAn Algebra for the BiTemporal Nested Data Model
A generalized bitemporal relational data model (BTNM) is formalized for the representation of bitemporal data with nested structure of arbitrary depth. Time is represented by temporal elements. Time-varying attributes are timestamped by taking advantage of the nested feature of the model. Thus, the temporal dimension of the model is expressed by bitemporal nested attributes consisting of atomic...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2004