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Ontology modeling techniques are gaining a lot of focus due to the rapid technological development including the emergence of semantic web technology. The idea behind semantic Web is to create a web of data that can easily be shared, accessed and even transformed over a global scale independently of any application or domain. In order to integrate data into the Semantic Web, the associated database...
Extract-Transform-Loading (ETL) tools integrate data from source side to target in building data warehouse. However data structure and semantic heterogeneity exits widely in the enterprise information systems. On the purpose of eliminate data heterogeneity so as to construct data warehouse, this paper introduces domain ontology into ETL process of finding the data sources, defining the rules of data...
One of the main challenges for enterprise application integration is the semantically correct integration of systems. There are many approaches that aim to address this problem, but most of them focus mainly on technical and syntactical aspects. This paper presents an Ontology-Based Approach for Semantic Integration (OBA-SI), which uses ontologies as conceptual models for defining mappings between...
Knowledge discovery has received more and more attention from the business community for the last few years. One of the most important and challenging problems in it is the definition of discovery process model, which are well understood, efficiency, and quality of outcome. A conceptual infrastructure for knowledge discovery process is proposed with business understanding, model selection and domain...
Nowadays, medical information is increasingly used many hospitals around the world. Then, the need of sharing information from different sources is an obvious consequence from such proliferation of systems. Unfortunately, integrating medical information is not a trivial issue, because data and knowledge exchange among users of medical information systems present many challenges. We must deal with...
Network management has suffered from increases in business, system, and operational complexity. This has been exacerbated by the heterogeneity in management data as well as the high quality requirements of multimedia services. Autonomic networking manages this growing complexity by adding intelligence inside network nodes and network management applications. While most autonomic applications simply...
The petroleum exploration and production domain includes more than twenty specialties such as exploration, production, etc. Difference information vocabulary among specialties results in problems about information sharing and application software integration among specialties. Ontology was introduced to solve above problem. According the feature of petroleum business, the method to building Petro-Onto(petroleum...
ReMINE is a novel framework architecture for the management of risk against patient safety (RAPS) in health care systems. ReMINE allows for the collection and analysis of RAPS-related data through a semantic approach which offers a fast and secure extraction of data and correlation of the information across several domains. In this respect, the ReMINE platform will promote an early RAPS detection...
In this paper we propose a concept of Ontological Learning Assistant (OLA)-an ontology-based KDD1 Support Environment (KDDSE) platform for carrying out knowledge discovery. The concept is based on the critical analysis of our state-of-the-art study in intelligent KDD support utilizing ontologies. We emphasize the fundamental role of knowledge transfer and domain and technology experts cooperation...
The emerging RESTful Web Services have provided a promising horizon to implement business process. However, the efficient indexing and matching method for RESTful Web Services is still a significant challenge. In this paper, a service indexing and matching method based on functionality and semantic domain ontology for RESTful Web Services is presented. Firstly a resource meta-model is defined to describe...
Most service and network management applications are developed to use vendor- and device-specific management data. These data are produced from different languages, and hence can have different representations of the same concept. We define a novel knowledge representation and mapping mechanism that uses ontological concepts and relations to generate a formal description for the Directory Enabled...
The paper analyzes the current situation of business environment and business intelligence systems (BIS) framework at first, and studies the theoretics and methods about the business intelligence system based on ontology. Based on ontology, this paper proposes an integration framework for business intelligence systems. A service resource based-ontology is proposed in this research, including the data...
Seamless mobility has been described as providing collaborative mechanisms that enable a user to accomplish his or her tasks without regard to technology, type of media, or device. This paper examines how the FOCALE autonomic architecture, in conjunction with a novel understanding of the environment based on the integration of information models and ontologies, can realize these challenges.
Implementing information management system is still a challenging task for any organization. A lot of surveys are conducted to find out the root causes of implementation problems and propose new methods that can improve and simplify this process. In this paper we suggest using an ontology-based decision support system to avoid some implementation challenges.
B-SCP is a promising framework addressing alignment of IT with business strategy from a requirements engineering perspective. A problem with the B-SCP framework is that it is extremely difficult to track dependencies between requirements in a project of realistic complexity. We discuss how the RDF data model with OWL semantics, will greatly benefit an implementation using B-SCP. Our contribution is...
The most straight forward approach to requirements elicitation is to provide a direct transformation from the user's task descriptions to analysis models. A detailed description of tasks is formalized in ontology. Using the task ontology it is possible to create templates to facilitate transforming tasks to both use cases and data flow diagrams. In this paper, a new user-oriented approach for task...
This paper presents a new theoretical data mining framework that adapts the existing data mining systems with the architecture of the Knowledge Grid, the mechanism of the ontologies, and the factor of the human-driven knowledge. Aiming at much of the research to date focusing on the technique and algorithms, the new framework describes the essential factors from systemic and technical viewpoints respectively...
In recent years, people from academic and practice fields put more and more effort to study various stock phenomena using techniques from AI and data mining. However, the way they process data generated from phenomena has two problems, the first is that people just focus on relations among observable data, not relations among entities which are more stable than the former ones. The other problem is...
Ontology is considered as one of the most important roles in knowledge sharing and reusing. However, how to effectively construct the enterprise process simulation domain ontology is a difficult problem. This paper proposed a pattern-layer Enterprise process ontology construction approach based on the EPMS and simple characteristic of CIM-OSA patterns in process simulation. The first step of this...
This paper addresses the problem of describing and analyzing data manipulation within business process workflow specifications. We apply a model-driven approach. We begin with business requirement specifications, consisting of an ontology and an associated set of normative rules, that define the ways in which business processes can interact. We then transform this specification into a Petri Net workflow...
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