A Data Sharing and Integration Technology for Heterogeneous Databases

For a long time, there are a large number of heterogeneous databases on the network, and their heterogeneity is manifested in many aspects. With the development of enterprise informatization and e-government, the system database of each department constitutes a real heterogeneous database framework with its independence and autonomy in the network system of many different functional departments. This paper will design information sharing between heterogeneous databases of network database system of many similar functional departments by using XML data model. The solution of data sharing between heterogeneous databases can accelerate the integration of information systems with departments and businesses as the core among enterprises, form a broader and more efficient organic whole, improve the speed of business processing, broaden business coverage, and strengthen cooperation and exchange among enterprises. In addition, heterogeneous database sharing can avoid the waste of data resources caused by the heterogeneity of database, and promote the availability rate of data resources. Due to the advantages of XML data model, the system has good scalability.

PanelsDB2, FMDB to manage CGP report xml data. v1

PanelsDB2, FMDB to manage CGP report xml data. The descrition about DB usage.

Hyper, Multi, or Single? Thinking about Text in Graphs and Trees

This paper explores the potential of combining the Text-As-Graph (TAG) and the XML data models. It proposes a digital editing workflow in which users can model, edit, and store text in TAG, and subsequently export the textual data to XML for further analysis or publication with XML-based tools. The conversion from TAGML to XML presents several interesting challenges on a technical level as well as a philological level. Overall, we argue that there may be many pragmatic reasons to encode cultural heritage texts in XML, but we have to be mindful of the XML framework becoming synonymous with the framework in which we conceptualize text. The paper therefore dives deep into the translation from conceptual model to logical model(s) and argues in favor of understanding the affordances and limitations of the technologies we use.

XML Dataset and Benchmarks for Performance Testing of the CLS Labelling Scheme

Extensible Markup Language (XML) has become a significant technology for transferring data through the world of the Internet. XML labelling schemes are an essential technique used to handle XML data effectively. Labelling XML data is performed by assigning labels to all nodes in that XML document. CLS labelling scheme is a hybrid labelling scheme that was developed to address some limitations of indexing XML data. Moreover, datasets are used to test XML labelling schemes. There are many XML datasets available nowadays. Some of them are from real life datasets and others are from artificial datasets. These datasets and benchmarks are used for testing the XML labelling schemes. This paper discusses and considers these datasets and benchmarks and their specifications in order to determine the most appropriate one for testing the CLS labelling scheme. This research found out that the XMark benchmark is the most appropriate choice for the testing performance of the CLS labelling scheme.