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Finding similar crime case subsets is an important task for intelligence analysts in crime investigation. It can not only provide multiple clues to solve crimes but also improve efficiency to catch the criminals. However, the conventional approach by querying specific attributes in relational databases has two defects: first, it is relatively of poor efficiency when a lot of incidents have to be handled;...
The design software used in the Matlab interface as the application development platform, and with a SQL Server database as the background data storage tool, in order to achieve efficient human-computer interaction function. From the results of view, the end result meets the design requirements, host computer receives a wireless sensor network module transmission to the temperature, humidity, air...
The Lipid Mass Spectrum Analysis Database (LMSAD) is an object-relational database encompassing MS data, structures and annotations of biologically relevant lipids. The initial version of this database contains about 80 records, representing mainly sphingolipids. LMSAD supports data searching by any combination of these data fields: LMSAD ID, systematic or common name, mass, formula and category data...
KDD was applied to the knowledge mining of mechanical structure symmetry design, and a KDD process was established. The models and relational database tables of structure design knowledge and symmetric samples according with KDD technology were set up, and then the technologies of OLAP and associating analysis were applied to obtain bidirectional mapping relationship between structure symmetries and...
This paper presents a computer aided system that aims to improve the quality of data for hydroelectric plants. This system consists of two modules. The first is a relational database that organizes, standardizes and manages data from hydroelectric plants. The second module allows a user to build, store and manage advanced queries on this or certain other databases. The data manager and the queries...
In this paper, some unique features of fuzzy object-class relationships, which do not occur in classical object-oriented databases, are investigated. We identify direct object-class relationship, indirect object-class relationship, and arbitrary object-class relationship in fuzzy object-oriented databases. In particular, soft computing methods are developed in the paper to quantitatively determine...
Research of the security model is one of security system keys. The secrecy and the integrity are two important demands of security system. BLP model mainly satisfies the secret request , and Biba model emphasises the integrity request. The few security models unify the secrecy with the integrity. A mutilevel database security model increases integrity examination in the foundation of original secret...
How to quickly and cheaply construct Web ontologies has become a key technology to enable the Semantic Web. However, information imprecision and uncertainty exist in many real-world applications. Thus constructing fuzzy ontology by extracting domain knowledge from fuzzy database model such as fuzzy ER model can profitably support fuzzy ontology development. In this paper, firstly, we give the formal...
Data access latency can be reduced for databases by using caching. Semantic caching enhances the performance of normal caching by locally answering the fully as well as partially overlapped queries. Efficient query processing and cache management are major challenges for semantic caching. Semantic caching demands efficient, correct and complete algorithms to process incoming queries. Query processing...
The entity-relationship(ER) model has proved a successful conceptual capture and modeling tool modeling for the relational data model. Much effort has recently been made to extend the relational data model to describe fuzzy temporal information , but as yet little corresponding development in ER modeling has been made. In this article we present a proposal for the fuzzy sets to conceptual modeling...
The vision of the semantic Web is to give data on the Web a well-defined meaning by representing it in RDF and linking it to commonly accepted ontologies. Today, most data are stored in relational databases. To be able to use these data on the semantic Web we need a flexible but easy to use mechanism to convert relational data to RDF data. In this paper, we present an approach on transformation of...
Mapping process is important in integrating data and knowledge from multiple heterogeneous relational databases. Mapping from a relational database to a description that uses the Resource Description Framework (RDF) shows promising results where it will not jeopardize the semantics of the data. The integration is also important in realizing simultaneous data query from multiple databases. Thus, this...
The paper proposes an extension of CFDs [1], referred to as extended Conditional Functional Dependencies (eCFDs). In contrast to CFDs, eCFDs specify patterns of semantically related values in terms of disjunction and inequality, and are capable of catching inconsistencies that arise in practice but cannot be detected by CFDs. The increase in expressive power does not incur extra complexity: we show...
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