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Integration of data and knowledge is one of the most important tasks in ensuring the interoperability of information systems at the structural and semantic level. The article examines the semantic approach to the problem of integration of multiple ontologies for interoperability and data and knowledge representation in intelligent information systems. A modification of the approach present itself...
In the current study, we examine the relative effects of the two types of consumer reviews (i.e., Positive and negative eWOM) on consumers' purchase decisions, and the moderating roles of the two types of information usefulness (i.e., Explicit usefulness and implicit usefulness). Analyzing a large-scale panel data collected from an online shopping site, we found that consumers' purchase decisions...
Most patients receive care from many health care providers, and consequently their health data is dispersed over many institutions' paper and EHR-based record systems. This reality leads to a fragmented system of storing and retrieving essential patient data that impedes optimal care leading to the coexistence of somewhat autistic systems. Providing means for scattered clinical information to be congregated...
A number of South African municipalities have embraced the use of advanced information technology to improve their services to citizens. However, this is not a common practice across the country; there are still municipalities within South Africa who have not automated their information systems for better service delivery to the public. This study develops a data model that can be applied by municipalities...
In order to build a flexible and configurable software architecture to realize enterprise business requirements agilely for distributing environment, a methodology called BSAD (Business-driven Service-oriented Application Development) is proposed to bridge business models in build time and application development in runtime seamlessly. From the five stages of business modeling, service transformation,...
In healthcare there are perceived benefits in the integration of multi-institutional patient data. The use of multiagent systems may facilitate the discovery and retrieval of patient data from the multiple health institutions that the patient has come into contact with. The main objective of this work is to define an architecture that allows agents to seek and collect health data from an HL7 based...
This paper introduces the main characteristics of our fuzzy temporal semantic model. It deals with (i) the problem of temporal data modeling under EFSM (Enhanced Fuzzy Semantic Model) to ensure the history of the values of attributes and/or objects, the values of partial degrees of membership and the values of degrees of membership, (ii) the impact of data evolution on the calculation of these degrees...
This paper analyzes some problems in power enterprise data exchange, combines with ontology technology which gives the advantage to the knowledge representation, sharing and reasoning, and proposes a ontology-based power enterprise data exchange system architecture, which is divided into the application layer, middle layer and data source layer. Constructing a global ontology to describe global pattern...
The exchange of information and the cooperation of enterprise information systems play a key role in the development of applications based on merging data from a diversity of sources. Data sources can be stored in traditional databases and are increasingly available in semi-structured formats, including dynamic web pages, which can be accessed through web forms. To alleviate the inherent heterogeneity...
Entity-Relationship ideas are commonly used to characterize and design information systems. They use the entity-relationship diagram to display the objects of the system and relationships among them. But the diagram model is not called in running by the program, at the same time entity-attributes belong to a specific entity and is a local definition. Ontology is defined as an explicit formal specification...
Data modeling is one of the most important activities in the process of information systems development which is based on domain knowledge in specific area. This paper presents a system for analyzing data model correctness from both syntax and semantic aspect. The system is based on using ontology for domain knowledge representation, transformation of data models and ontology to predicate logic form...
The potential impact of model-driven engineering is considerable, and far extends beyond the initial development and delivery of a system. The automatic generation of systems from abstract models also facilitates evolution: the definitive description of structure and behaviour remains accessible, and changes are more easily planned and accommodated. Within the domain of information systems, this is...
Geographic ontology is a very complex and intricate concept. As a philosophical concept, ontology has the most ambiguous meanings, and it is first introduced into information science, then into the field of GIS. In this paper, the concept of geographic ontology is studied by tracing back to the origin of ontology concept, and the meaning of ontology in philosophy and information science is reviewed...
In this paper the authors address some methodological and technical issues on managing collections of digital documents published on the web by many different and autonomous stakeholders. To cope with this kind of problems the notions of document, of cooperative knowledge community, a set of cooperative content management system nodes glued together by a web semantic oriented middleware, and content...
Ontology-based information integration systems have been proposed to solve the problem of combining data residing at autonomous and heterogeneous sources. For such ontology based solutions to succeed in an industrial context, the ontologies and mappings need to be managed to allow them to evolve as the data sources evolve. This paper describes a dependency modeling approach to the management of mappings...
This paper addresses to development of the conceptual modeling phase of spatio-temporal phenomena. It is necessary to develop new techniques to accommodate the peculiarities of the combined spatial and temporal information that take their outset in existing techniques and minimally extend them. Interpretation of real world phenomena in a process perspective is the core of this model. Processes highly...
Our world is increasingly data-driven. The growth and value of data continue to exceed all predictions. Potential for business opportunity, economic growth, scientific discovery, and even national security lie hidden in the vast and growing data collections distributed across our Digital Universe. Harvesting the value of data requires finding, integrating, and analyzing data distributed across our...
Regular flow nets, extended from Petri nets and YAWL, have been proposed as bases for modeling web service behavior because of their abilities for dealing with cyclic behavior and data dependences among services. However, the corresponding approach on how to regularize flow nets into regular flow nets has not been given yet. So, in this paper we propose a methodology for the regularization of flow...
Multidimensional data are the foundation for OLAP applications. They can be provided in several ways: relational OLAP, multidimensional OLAP, or hybrid OLAP. The usage of the underlying technology, which is well understood and in most cases formally defined, does not resolve the issue of a missing vocabulary for multidimensional data on a conceptual level. Some basic definitions are broadly used;...
The characteristics of publish/subscribe technology are of asynchronism and loosely coupled. This phenomenon makes producers and consumers are de-communicated in temporal and spatial domains during processing. It requires develop a dynamic integration in today's large-scale, distributed information system. This paper introduces a Semantic Integration Data Model (SIDM) for publish/subscribe systems,...
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