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The extensible Markup Language (XML) has known since its beginnings an undeniable success. Defined since its origins as a meta-language facilitating the development of specialized tags Languages, nowadays, many documents benefit from the XML frame. But even if this language is strongly used in the web as a way of data exchange between applications, it still lack the capacity of defining the web resources...
This paper describes an RDF data model for repositories concerned with managing various aspects of the life cycle of research outputs, such as articles, data sets or learning objects. Using the figshare application as a use-case and starting from its relational model, it proposes a new mechanism for storing, enhancing and disseminating metadata, using workflows specific to the linked data ecosystem,...
Industrie 4.0 components should offer flexible functionality for modern production systems. In order to achieve this flexibility, they provide functions that shall be described and implemented in an easy way. The term “functional element” is known from device profile specifications. Originally designed to be implemented in field devices, these specifications can also be used in Industrie 4.0 components...
This paper presents an approach to proceed with semantic annotation in historical documents from the 19th century that discuss the constitution of the mother language, the Portuguese Language in Brazil. The objective is to generate a group of semantically annotated documents in agreement with a domain ontology. To provide this domain ontology, the Linguistic Instrument Ontology was employed, and it...
The creation of Learning Spaces on the Web, like the exhibition rooms of virtual museums, supported by an ontology that enables a conceptual navigation over the learning objects exposed, is an hard and complex task but of uttermost importance for the success of the knowledge acquisition process. In our opinion, the creation must be systematic and reusable from case to case, based on the query of the...
This paper presents ongoing work on a decision aiding software intended to support cyber risks and cyber threats analysis of an information and communications technological infrastructure. The software will help corporations Chief Information Security Officers on cyber security risk analysis, decision-making, prevention measures and risk strategies for the infrastructure and information assets protection.
Hiking a relevant web service in the current environment full of various options is similar to looking for a needle in a haystack. The best possible web service is the one that completely fulfills the required functions while satisfying the QoS requested by a user. In this paper, we introduce a new context-based solution based on QoS (Quality of Service) exploiting both functional and non-functional...
The semantic web is evolving and helping users to find, share, understand and combine the information and be processed by the automated tools. With the traditional web, it is a time-consuming and tedious task to find the necessary information. By using the semantic web, we obtain information in a way that is more efficient and fast and avoid all the unnecessary data. Semantic web helps to make intelligent...
From the general SOA architectural pattern, through distributed computing based on Grids and Clouds, to the Internet of Things, the idea of collaboration between software entities, independent from their vendors and technologies, attracts much attention. This brings about a question: how to achieve interoperability among multiple (existing and upcoming) platforms/systems/applications. The context...
With web services growing and accumulating in application area, service discovery has become a hot issue for service composition and service management. Service clustering provides a promising way to split the whole searching space into small regions so as to minimize the discovery time effectively. However, semantic information is a critical element during the whole disposing process. Current industrialized...
Information Retrieval (IR) methods are being applied in searching relevant books and their parts in a large book collection. These methods treat books as plaintext and apply traditional bags-of-words models, which ignore the structural semantics as well as logical connections in structure and content of books. In order to enable machines to understand and exploit these semantics and logical connections...
As the amount of data grows very fast inside and outside of an enterprise, it is getting important to analyze both of them for getting total business intelligence. While online analytical processing (OLAP) techniques have been proven very useful for analyzing structured data, they face challenges in handling unstructured data. To this end, new multidimensional models have been proposed for OLAP purposes...
Upravljanje znanjem u domeni inteligentnih transportnih sustava ima za cilj postizanje semantičke interoperabilnosti između različitih ITS aplikacija. Time bi se omogućilo predstavljanje podataka i informacija iz nekoga prometnoga konteksta u strojno razumljivom obliku, odnosno ontologijom u informacijskom/računalnom smislu. U radu su opisani osnovni koncepti razmjene znanja u domeni inteligentnih...
Today, we're seeing strong demand real-time information, with a rapid expansion of mobile learning (m-learning). We also see that there are many educational resources on the Internet. The learning objects (LOs) are designed as a way to reuse these resources. Some of these LOs are built for fixed devices, which hinders their use on mobile devices. A LO is an area that is open to research that has a...
Over the years, the volume of information available through the world wide web has been increasing continuously, and never has so much information readily available and shared among so many people. Unfortunately, the unstructured nature and huge volume of information accessible over network have made it difficult for users to shift through and find relevant information. The information retrievals...
Semantic inferences about the structural features are achieved through a semantic structure markup system with the support of ontological relationships. The significance of the markup system is the description of valence electrons of every atom in the structure. The semantics of chemical structure is captured in different levels with appropriate XML elements. The advantage of the markup system is...
In order to enrich the digital content of Classical Arabic, we aim to propose and represent the Arabic dictionary “'Al-Qamiis Al-Muhit” in the standard format LEMON. Printed transition to digital format requires various steps of work. This article describes the procedures that we followed to convert the dictionary in digitized and encoded format to apply automatic extractions and get the Lemon format...
In this paper, an ontology-based approach to automatically generate control applications to handle diagnostic information of decentralized control devices is presented. Diagnostic possibilities of modern remote I/O devices are analyzed and software components in terms of function blocks to handle the specific diagnostic information are defined. After a detailed conceptual overview, the application...
Semantic web is the future realization of the current web, in which resources are annotated with machine understandable meta-data, allowing the automation of tasks by employing these resources in their correct contexts. Several notable technologies have been specified by the World Wide Web Consortium (W3C) for the application development lifecycle of semantic web. The worldwide adoption of these technologies...
Ontology database is a most comprehensive data base application that collects the related information from multiple data sources about any topic. Allowing multiple data sources into the database involves collection of irrelevant and redundant data. It leads to high memory utilization and more processing time. The user may be able to access the relevant data using appropriate software tools. In this...
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