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In this paper we present a new mapping approach of owl ontologies, using the reuse technics. We propose also a refinement technic of mapping, to make it more pertinent. Our Mapping approach focuses on computing semantic similarity between concepts of ontologies to map, it is based on a weighted combination of computing similarity methods, we use syntactic, lexical, structural, and semantic technics...
We present in this paper, one important feature of our approach that draws on a semantic enrichment process of the RDB model for learning application ontologies from Relational Databases (RDB)s. In fact, our approach supports collaborative work on the enrichment process and considers the partitioning of the input RDB model into a set of business modules. The objectives behind the collaborative support...
As the sources of data become more and more diversified, the importance of data conflict detection is emerging. We are committed to research a new method, through the use of behavior pattern detection of heterogeneous data semantic conflict. We find that the structured data which can represents the behavior of an entity contradict from the reality behavior of the entity which can be got from unstructured...
The analysis and decision scenarios, which are more complex in many domains, request more unstructured data to be reorganized with the structured data for analyzing. An architecture is proposed in this paper for data reconstruction to support OLAP analysis based on the knowledge graph and XML data warehouse technologies. In this architecture, the data cubes can be built with the data of two kinds...
Solar plants typically consist of several thousands of passive photovoltaic modules that are connected via thousands of string boxes to hundreds of inverters. In addition, a solar plant has meteo-sensors, power meters and control switches. All these components continuously generate data that is collected by monitoring systems or SCADA systems on-site. From there onwards, this data is pushed to remote...
Semantic annotation of Web Services can facilitate the automated service discovery and composition. At present, however, many solutions suffer from redundant annotations or imprecise derived annotations. The fundamental task to address the issue is to find parameters that have same semantics in a large number of Web Services. This paper proposes a classification based approach for identifying parameters...
The Medical information is one of the types of information that are characterized by the multiplicity and diversity of its sources. This diversity contributes to the emergence of many problems; of which the most important is the difficulty of communication and interaction between systems. This is what is called the problem of interoperability. In this context, we propose in this paper a new mediator...
Query Expansion is an important component for information retrieval systems. It makes possible the reformulation of the initial user query by adding new terms. In this paper, we propose a new approach for term selection in the relevance feedback process. This approach, based on Rocchio formula, is an adaptation to the XML information retrieval context. It can resolve two major problems specific to...
Emotion Detection is one of the most emerging issues in human machine interaction. Detecting emotional state of a person from textual data is an active research field along with recognizing emotions from facial and audio information. Several methods were given to recognize emotion from text in previous years. This paper proposed a new architecture (a keyword based approach) to recognize emotions from...
The resources that enable cloud logistics have the characteristics of heterogeneity, discrete distribution, dynamics and autonomy. They have an influence on the efficiency of the integration and configuration of the resources. Based on fully considering the classification and the features of the cloud logistics resources, this paper establishes a uniform resource expression model. This model does...
Issues that concerns with the inter-operability on a heterogeneous environment can easily be address using the flexible platform of Service Oriented Architecture (SOA). Web service is an implementation and modeling of Service Oriented Architecture (SOA). Web service description language (WSDL)is a standard describing a web service in XML form. This Description can be categorized in two parts i.e....
Electrocardiogram (ECG) data are stored and analyzed in different formats, devices, and computer platforms. As a result, ECG data from different monitoring devices cannot be displayed unless the user has access to the proprietary software of each particular device. This research describes an ontology and encoding for representation of ECG data that allows open exchange and display of ECG data in a...
As sensors become more affordable and versatile, more and more sensors are deployed in different environments to help people observe their surroundings. However, due to their various physical structures, it is very challenging to have a universal schema to identify, search, and query sensors and sensors' data. Fortunately, there are two main approaches to address some of these problems, namely Semantic...
In agile Model-Driven Engineering, the evolution of diverse software artifacts is omnipresent. Especially the evolution of metamodels, defining the grammar of, e.g., Domain Specific Languages, is quite challenging, since many dependent artifacts, including models and transformations, have to be co-evolved to re-establish consistency. Although much research effort has been spent to automate co-evolution,...
The web is increasingly moving towards structuring and to taking into consideration of semantics, particularly with XML and ontology. In addition, access to information requires the use of web tools for information retrieval (IR). Many methods from traditional IR were extended to structured documents. On the other hand, approaches have been proposed to regard specifically semantics in structured documents...
The Semantic Web Services (SWS) technology is used to describe the Web services' capabilities and content in a computer-interpretable language and improve the quality of existing tasks, such as Web Services discovery, invocation, composition and monitoring. This paper addresses the topic of defining a knowledge based system for representing Semantic Web Service ontologies according to the WSMO-Lite...
With the greater number of Web Services (WSs) available on the internet, searching the appropriate WS that fulfills the user needs has become a major challenge. In this paper, we propose a Goal-based framework for Web Services (WSs) discovery. The framework employs matching algorithms and allows searching through a set of Semantic Web Services (SWS)s in order to find the most suitable WS that matches...
In the last decade, the field of Big Data Analytics has become increasingly important in both the academic and the business communities. Typically, data are mostly structured, collected by different actors through various heterogeneous and distributed information sources, and stored and managed often directly in XML. In order to enable large volume of data to be described in such a way that their...
In this paper, we show how computational methods can help attaining uniformity in interpretation, a valuable asset in the legal field, and even a duty itself in our use case of choice: the 1980 Vienna Sales Convention (CISG). We investigate the common ground between traditional and computational models and describe some tools for the representation and interpretation of the CISG terminology that can...
The paper describes applying NLP algorithms to the ontology-based e-learning system. The main goal of the project is to develop a tool creating additional relations between entities based on internal analysis of object property values in the e-learning ontology. Authors present results of automated analysis of links between lecture terms and tests.
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