Journal ArticleDOI
Concept-based query language approach to enterprise information systems
TLDR
This paper presents a concept-oriented query language approach to manipulate this diversity of data so that the programming skill requirements are considerably reduced and the features which need technical knowledge are hidden in application-specific concepts and structures.Abstract:
In enterprise information systems EISs it is necessary to model, integrate and compute very diverse data. In advanced EISs the stored data often are based both on structured e.g. relational and semi-structured e.g. XML data models. In addition, the ad hoc information needs of end-users may require the manipulation of data-oriented structural, behavioural and deductive aspects of data. Contemporary languages capable of treating this kind of diversity suit only persons with good programming skills. In this paper we present a concept-oriented query language approach to manipulate this diversity so that the programming skill requirements are considerably reduced. In our query language, the features which need technical knowledge are hidden in application-specific concepts and structures. Therefore, users need not be aware of the underlying technology. Application-specific concepts and structures are represented by the modelling primitives of the extended RDOOM relational deductive object-oriented modelling which contains primitives for all crucial real world relationships is-a relationship, part-of relationship, association, XML documents and views. Our query language also supports intensional and extensional–intensional queries, in addition to conventional extensional queries. In its query formulation, the end-user combines available application-specific concepts and structures through shared variables.read more
Citations
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Journal ArticleDOI
An approach for developing a schemaless XML dataspace profiling system
Turkka Näppilä,Timo Niemi +1 more
TL;DR: This article introduces and specifies a schemaless XML dataspace profiling system that assists the user in selecting data sources relevant to him/her and in validating their consistency by detecting the potential data conflicts among them.
Journal Article
An indexing structure for aggregation relationship in OODB
TL;DR: In this article, the authors present index nesting techniques to support aggregation relationships in composite objects, and a comparison between this technique and other indexing techniques is also discussed in this paper.
Journal ArticleDOI
Performance of Graph and Relational Databases in Complex Queries
TL;DR: Compared the query performance of a graph-based database system (Neo4j) and relational database systems (MySQL and MariaDB), the effect of different efficiency issues were included in the comparison in order to investigate the most efficient solutions for different query types.
Proceedings ArticleDOI
Study on the Factors Affecting Disclosure of Profit Forecasts of IPO Companies
Hui-yun Li,Qiu-bo Zhao +1 more
TL;DR: The structural equation model is used to study that, the disclosure of a listed company's profit forecasts, to some extent, will be affected by the company's financial position, corporate governance structure and external factors, presenting obvious positive correlation.
Conversion of XML‐based Open Data into Relational Closed Data
Timo Niemi,Turkka Näppilä +1 more
TL;DR: An approach and tool which is able to convert an XML source to part of relational database, which enables in addition to data-todata translations, data-to-metadata and metadata- to-data translations through its pivot and unpivot operations.
References
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Book
The entity-relationship model: toward a unified view of data
TL;DR: A data model, called the entity-relationship model, is proposed that incorporates some of the important semantic information about the real world and can be used as a basis for unification of different views of data: the network model, the relational model, and the entity set model.
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Proceedings ArticleDOI
The entity-relationship model: toward a unified view of data
TL;DR: A data model, called the entity-relationship model, which incorporates the semantic information in the real world is proposed, and a special diagramatic technique is introduced for exhibiting entities and relationships.
Journal ArticleDOI
A framework for information systems architecture
TL;DR: Information systems architecture is defined by creating a descriptive framework from disciplines quite independent of information systems, then by analogy specifies information systems architecture based upon the neutral, objective framework.