Object Deputy Model Research Articles

Probabilistic object deputy model for uncertain data and lineage management

Lineage is important in uncertain data management since it can be used for finding out which part of data contributes to a result and computing the probability of the result. Nonetheless, the existing works consider an uncertain tuple as a set of tuples that can be stored in a relational table. Lineage can derive each tuple in the table, with which one can only find out the tuples rather than specific attributes that contribute to the result. If uncertain tuples have multiple uncertain attributes, for a result tuple with low probability, users cannot know which attribute is the main cause of it. In this paper, we propose an approach to model uncertain data. Compared with the alternative way based on the relational model, our model achieves a low maintenance cost and avoids a large number of redundant storage and join operations. Based on our model, some operations are defined for querying data, generating lineage, computing probability and derivation of results. Further, we discuss how to correctly compute probability with lineage and an algorithm is proposed to transform lineage for correct probability computation. We also discuss how to realize result derivation with the lineage. Experiments show the advantages of the proposed model on uncertain data management.

Semantic Data Management in PDM System Based on Object Deputy Model

Semantic data management is a key issue in PDM (product data management) system. Traditional PDM system is not suitable for complex semantic data management. Moreover, most of the PDM systems cannot provide efficient semantic search over database. In this paper, we present a data warehouse which adopts the object deputy model to store semantic product data. Most important of all, we can provide more convenient and efficient semantic search for users. The experiment results show that our approach is more feasible and efficient than the traditional one.

Microbiology information service system based on object deputy database

A new approach for microbiology information management based on object deputy database was proposed.It used the object deputy model for data modeling.The common descriptive information of microbes was defined as the basic object.Microbial diversity and correlated information of microbes were modeled through deputy objects.A microbiology information service system based on our object deputy database was implemented.Advanced functions of the database could facilitate information management.Update propagation supports dynamic classification of data,object views could be used for schema evolution,and cross-class query provides efficient data retrieval.The experimental result shows that this approach outperforms the traditional ones.

Data Provenance in a Scientific Workflow Service Framework Integrated with Object Deputy Database

This paper proposes a DB-integrated scientific workflow service framework which adopts object deputy model to describe the execution of a series of scientific tasks,thus allows workflow management operations to be performed in a way analogous to traditional database management operations.Furthermore,based on bi-directional pointer mechanism in object deputy database,this paper introduces a new data provenance method.This approach is much more efficient than annotation or inversion,which not only saves a lot of storage space,but also reduces the cost of extra computing.A partial materializing data schema is also presented to improve the efficiency of data tracking,and the experiment results show that it can provide a preferable system performance.

A personalized microbe biodiversity dataspace information system

It can not provide dynamic view mechanism in previous dataspace information system. In this paper, the dynamic extendable view mechanism provided by object deputy model is proposed for personalized dataspace information system which can provide rich semantics and enough flexibility. The flexible inheritance avoids a lot of data redundancy. The cross class query mechanism allows users to find more related data based on complex relationships. The personalized dataspace service provides less storage space consumption and shorter query response time. The experiment result shows that our approach is more feasible and efficient than the traditional one.

Using object deputy model to prepare data for data warehousing

Providing integrated access to multiple, distributed, heterogeneous databases and other information sources has become one of the leading issues in database research and the industry. One of the most effective approaches is to extract and integrate information of interest from each source in advance and store them in a centralized repository (known as a data warehouse). When a query is posed, it is evaluated directly at the warehouse without accessing the original information sources. One of the techniques that this approach uses to improve the efficiency of query processing is materialized view(s). Essentially, materialized views are used for data warehouses, and various methods for relational databases have been developed. In this paper, we first discuss an object deputy approach to realize materialized object views for data warehouses which can also incorporate object-oriented databases. A framework has been developed using Smalltalk to prepare data for data warehousing, in which an object deputy model and database connecting tools have been implemented. The object deputy model can provide an easy-to-use way to resolve inconsistency and conflicts while preparing data for data warehousing, as evidenced by our empirical study.

SQL3 object model and its extension

As the latest version of relational database standard, SQL3 not only has been extended with many new relational features but also added with the object-oriented technologies. This paper introduces the object-oriented features of SQL3 and then extends it with object deputy model to support object view mechanisms.

An object deputy model for realization of flexible and powerful objectbases

In object-oriented databases, data and methods are combined by objects and their classes. Information redundancies are removed by the notions of class hierarchy and inheritance. This contributes the realization of high-performance systems. However, the flexibility of object structures still remains a problem due to its encapsulation feature. In this paper, we introduce an object deputy model which extends conventional object-oriented models with the concepts of deputy objects and deputy classes. A deputy object has its own identifier and may possess its own attributes and methods. It can also have attributes that are computed from values stored within its source object, and can be associated with methods generated from these of the source object. The inheritances are realized by switching operations, which make it possible to realize controllable, selective and dynamic inheritance structures. Schemata of deputy objects are defined by deputy classes which can be derived by an object deputy algebra. An object can have many deputy objects, and several objects can share a single deputy object. Thus, objects can be indirectly divided and combined through their deputy objects. We show that several difficult database problems, such as flexible views, objects with more than one role, object migration, and multiple inheritance become much easier in this model. The data-knowledge coordination model developed for the integration of distributed databases and knowledge-bases can also be realized easily by the object deputy model. Finally, we discuss several advanced database applications of this model, such as geographic databases, virtual office systems, and distant education systems.