Application Of Semantic Web Technologies Research Articles

Application of Semantic Web Technologies for Supporting Customer Relationship Management: a Systematic Literature Review

The purpose of the present paper is to summarize the current state of the existing research on the application of Semantic web technologies in supporting customer relationship management. Its achievement includes providing answers to a set of research questions as a result of conducting a systematic literature review. A total of 44 scientific publications are identified as relevant to the topic and included in the review. Information is extracted from the selected literature sources, which is then summarized, systemized and analyzed according to the predefined research questions and finally reported. The conducted systematic literature review determines that the development of Semantic web technologies is provoked interest among researchers, as a result of which the advantages of using them for descriptions useful for various CRM purposes are investigated and practically confirmed. In addition to defining semantic models for descriptions supporting a variety of CRM activities and processes (such as customized products and services; supporting users of CRM systems; integrated offerings across channels; improved and innovative products and services; customer complaint management, etc.), various research works identify new approaches to support CRM, that can be achieved through the application of appropriate Semantic web technologies. The detailed study represented in this paper contributes to familiarization with the existing experience in the application of Semantic web technologies in supporting customer relationship management, as well as facilitates the discovery of trends and directions for future research. This is the reason for the expected interest from scientists whose research area cover the considered and similar fields; software engineers implementing CRM systems; data analysts exploring CRM domain.

The Intersection Between Semantic Web and Materials Science

The application and benefits of Semantic Web Technologies (SWT) for managing, sharing, and (re‐)using of research data are demonstrated in implementations in the field of Materials Science and Engineering (MSE). However, a compilation and classification are needed to fully recognize the scattered published works with its unique added values. Here, the primary use of SWT at the interface with MSE is identified using specifically created categories. This overview highlights promising opportunities for the application of SWT to MSE, such as enhancing the quality of experimental processes, enriching data with contextual information in knowledge graphs, or using ontologies to perform specific queries on semantically structured data. While interdisciplinary work between the two fields is still in its early stages, a great need is identified to facilitate access for nonexperts and develop and provide user‐friendly tools and workflows. The full potential of SWT can best be achieved in the long term by the broad acceptance and active participation of the MSE community. In perspective, these technological solutions will advance the field of MSE by making data FAIR. Data‐driven approaches will benefit from these data structures and their connections to catalyze knowledge generation in MSE.

Semantic Web and Internet of Things: Challenges, Applications and Perspectives

The apparent growth of the internet of things (IoT) has allowed its deployment in many domains. The IoT devices sense their surroundings and transmit the data via the Web. According to statistics, due to the proliferation of smart devices, the number of active IoT devices is expected to exceed 25.4 billion by 2030.1 A large number of IoT objects gather an enormous amount of raw data. The data generated by various IoT objects and sensors are heterogeneous, with varying types and formats. Therefore, it is difficult for IoT systems to share and reuse raw IoT data, which causes the problem of lack of interoperability. The lack of interoperability in IoT systems creates a problematic issue that prevents IoT systems from performing well. To address this issue, data modeling and knowledge representation using semantic web technologies may be an appropriate solution to give meaning to raw IoT data and convert it to an enriched data format. The primary goal of this research section is to highlight the best outcomes for semantic interoperability among IoT systems, which can serve as a guideline for future studies via the presentation of a literature review on semantic interoperability for Internet of Things systems, including challenges, prospects, and recent work. The paper also provides an overview of the application of semantic web technologies in IoT systems, such as specific ontologies, frameworks, and application domains that use semantic technologies in the IoT areas to solve interoperability and heterogeneity problems.

An Adaptable Ontology for Easy and Efficient University Data Management in Niger Delta University

The structure, variety and quantity of some current web content are limited in efficient exploration due to difficulty in searching and locating a specific content. A case is the Niger Delta University where there is no unified online structure holding relevant university data. This is because there is no common data model to manage the data for which such query can easily be interpreted semantically. Therefore, this paper presents the application of semantic web technology for the unification of university data management. This research prepares the ground for the advent of software agents and other applications that require structured data for their computational processes. The ontology development follows an iterative path of the Object-Oriented System Analysis and Design (OOSAD) methodology. SPARQL was used as the query language for testing the ontology. The result is a semantically structured data that is deployable and can be expanded and adapted in other institutions.

FAIRVASC: A semantic web approach to rare disease registry integration

Rare disease data is often fragmented within multiple heterogeneous siloed regional disease registries, each containing a small number of cases. These data are particularly sensitive, as low subject counts make the identification of patients more likely, meaning registries are not inclined to share subject level data outside their registries. At the same time access to multiple rare disease datasets is important as it will lead to new research opportunities and analysis over larger cohorts. To enable this, two major challenges must therefore be overcome. The first is to integrate data at a semantic level, so that it is possible to query over registries and return results which are comparable. The second is to enable queries which do not take subject level data from the registries. To meet the first challenge, this paper presents the FAIRVASC ontology to manage data related to the rare disease anti-neutrophil cytoplasmic antibody (ANCA) associated vasculitis (AAV), which is based on the harmonisation of terms in seven European data registries. It has been built upon a set of key clinical questions developed by a team of experts in vasculitis selected from the registry sites and makes use of several standard classifications, such as Systematized Nomenclature of Medicine - Clinical Terms (SNOMED-CT) and Orphacode. It also presents the method for adding semantic meaning to AAV data across the registries using the declarative Relational to Resource Description Framework Mapping Language (R2RML). To meet the second challenge a federated querying approach is presented for accessing aggregated and pseudonymized data, and which supports analysis of AAV data in a manner which protects patient privacy. For additional security the federated querying approach is augmented with a method for auditing queries (and the uplift process) using the provenance ontology (PROV-O) to track when queries and changes occur and by whom. The main contribution of this work is the successful application of semantic web technologies and federated queries to provide a novel infrastructure that can readily incorporate additional registries, thus providing access to harmonised data relating to unprecedented numbers of patients with rare disease, while also meeting data privacy and security concerns.

A semantic common model for product data in the water industry

The issue of interoperability in the Architecture, Engineering, and Construction (AEC) industry represents a challenge on a scale that spans across the project life cycle. This is predominant in the infrastructure sector that usually comprises a more versatile Operations and Maintenance (O&M) phase in comparison with the buildings sector. To this end, an important stage in the information life cycle is the asset information capture and validation during product procurement at the O&M phase. The water industry in the United Kingdom relies on Product Data Templates (PDTs) to fulfil such task, which is usually an error prone manual process. This paper presents an ongoing research, which investigates the application of Semantic Web Technologies (SWT) for improving product data exchange during product procurement at the O&M phase for the water industry in the United Kingdom (UK). Therefore, focus group sessions with industry experts were held to discuss current inefficiencies and solution requirements. Based on these results, a semantic common model named Asset Specification Ontology (ASO) was developed to capture and validate asset information during product procurement at the O&M phase. The common model (ontology) is based on available technologies, namely Web Ontology Language (OWL) and Shapes Constraint Language (SHACL). This gives the advantage of semantically rich data which can be linked and queried in a meaningful way to facilitate the exchange and validation of water industry assets’ data. The uniqueness of this paper is manifested in the issue it tackles, as efficient product procurement, and hence, data exchange in the water industry is an industrial challenge that is seldom researched. Results from the focus group sessions showed that information exchange within the UK water industry is impeded due to the lack of structured and semantic data. However, for a robust semantic interoperability, there needs to be a robust semantic data infrastructure, which would require semantic mappings from standards to product properties, from standards to other standards, and from standards to dictionaries. These conclusions were further supported by the common model, which was created from existing schemas, standards, and dictionaries. Generally, this paper recommends a common model/product library for phase-specific product data exchange in the water industry.

Generic Digital Twin Architecture for Industrial Energy Systems

Digital Twins have been in the focus of research in recent years, trying to achieve the vision of Industry 4.0. In the domain of industrial energy systems, they are applied to facilitate a flexible and optimized operation. With the help of Digital Twins, the industry can participate even stronger in the ongoing renewable energy transition. Current Digital Twin implementations are often application-specific solutions without general architectural concepts and their structures and namings differ, although the basic concepts are quite similar. For this reason, we analyzed concepts, architectures, and frameworks for Digital Twins in the literature to develop a technology-independent Generic Digital Twin Architecture (GDTA), which is aligned with the information technology layers of the Reference Architecture Model Industry 4.0 (RAMI4.0). This alignment facilitates a common naming and understanding of the proposed architectural structure. A proof-of-concept shows the application of Semantic Web technologies for instantiating the proposed GDTA for a use case of a Packed-Bed Thermal Energy Storage (PBTES).

Знання-орієнтований інструментальний комплекс обробки баз даних наукових публікацій

Introduction. Nowadays, numerous applications and tools are known that implement information retrieval technologies in various text sources in accordance with specified parameters. Moreover, the search results are provided to the user for each search parameter individually and not related to each other. And the application of Semantic Web technologies for the purpose of multi-parameter and related information retrieval in various sources in Ukraine is at the initial stage of development. A separate problem is the multimedia presentation of search results and their comparison with the conceptual structure of the domain of interest (Knowledge Domain) with the goal of extracting new knowledge. From this point of view, it is relevant for scientific research to process the scientific publications of one author, authors of a scientific unit and the academic institute as a whole, using the Semantic Web technologies, multimedia presentation of information, and effective support for the process of extracting new knowledge. Purpose. Designing the architecture and functioning algorithms of the instrumental complex for processing databases of scientific publications, as well as developing examples of using a formal description of a scientific article with a number of queries. Methods. The methods and models used in this work are based on Semantic Web information technologies focused on the development and use of subject ontologies. Ontologies are the basic components of these technologies both for conducting scientific research and creating large databases, including scientific publications of the authors. Results. The architecture of the instrumental complex for processing databases of scientific publications and the algorithms for its functioning at the preparatory and main stages have been developed. Examples of queries to the database of scientific publications that demonstrate the performance of IR are given. Conclusion. The article discusses the architecture of the instrumental complex for processing databases of scientific publications and the algorithms for its functioning at the preparatory and main stages. The steps of the preparatory phase, which are implemented by the knowledge engineer, are examined in detail. At the same time, the creation of two ontology models of the scientific article with the presentation of the corresponding ontographs was highlighted: the CRF-model describes the concepts contained in the article, and the OWL-model describes the structural components of the article. In conclusion, examples of queries to the databases of scientific publications are presented, demonstrating the performance of the instrumental complex. Further, it is necessary to expand the use in the development of IR technologies, such as cognitive semantics and graphics, multimedia presentation of information, focused on the effective support of the processes of extraction and/or generation of new knowledge.

Semantic web technologies applied to software accessibility evaluation: a systematic literature review

Software accessibility is a current field of interest. Governments and organizations boost initiatives and legislations to assure universal access. On the other hand, the semantic web is the evolution of the Internet from a web of pages to a web of data. It enables the linked data engineering. It facilitates search of information, data analysis and data sharing. Some studies have applied semantic web technologies to improve software accessibility. Their methods, goals and results are heterogeneous. This systematic literature review aims to review how the application of semantic web technologies has evolved in software accessibility evaluation. First, we defined some main and secondary research questions that would set the context for the review. Then, we defined a search strategy and selection criteria which allowed us to get a set of primary studies related to our research question. We measured the quality of the studies and performed a qualitative analysis. A lack of studies in some of the sub-areas included was revealed. A low impact level was also detected in most cases, so this research field needs to be explored further. Semantic web has a direct application on software accessibility evaluation. However, this review reveals a lack of studies in some important sub-areas. A very low impact of the studies was also detected compared with other studies in the accessibility field. The evolution of this area is slow, so we recommend exploring further the different research branches and trying to generate studies with more impact.

Representing construction-related geometry in a semantic web context: A review of approaches

The exchange of construction-related data over the Web via Semantic Web Technologies is gaining interest in current research. However, most research focuses on non-geometric data, neglecting the description of geometry. While several methods to include geometry descriptions into a Semantic Web context exist, no uniform approach or general recommendation exists for the endeavour of describing building components in their entirety – including geometric descriptions –, leading to an increased suspension in applying Semantic Web Technologies in the construction domain. To therefore ease the description of geometric data in a Semantic Web context, we conduct an extensive literature review and analyse the identified, oftentimes isolated implementations for geometry descriptions in that context, with focus on requirements set by domain-specific use cases. Based on this analysis, we group the currently available implementations into approaches and compare them to offer means for deciding on which approach or implementation suits individual use cases.The identified approaches vary in their depth of the geometry description's integration into the Semantic Web and are subsequently studied regarding their overall aptness and characteristics in consideration of their application for future industry and research projects. In respect of the ongoing research in the field of the application of Semantic Web Technologies, not only in the construction domain, this article poses as an important foundation by giving a clear overview of existing implementations and relevant open research questions. Having this overview, the suspense for adapting to Semantic Web methods for describing geometries can be overcome by users more easily, while software developers can start to connect their clients' use cases to suitable approaches and related implementations to represent geometry in a Semantic Web context.

A systematic literature review on semantic web enabled software testing

Software testing, as a major verification and validation activity which revolves around quality tests, is a knowledge-intensive activity. Hence, it is reasonable to expect that it can be improved by effective application of semantic web technologies, e.g., ontologies, which have been frequently used in knowledge engineering activities.The objective of this work is to investigate and provide a better understanding of how semantic web enabled techniques, i.e., the techniques that are based on the effective application of the semantic web technologies, have been used to support software testing activities. For this purpose, a Systematic Literature Review based on a predefined procedure is conducted. A total of 52 primary studies were identified as relevant, which have undergone a thorough meta-analysis with regards to our posed research questions.This study indicates the benefits of semantic web enabled software testing in both industry and academia. It also identifies main software testing activities that can benefit from the semantic web enabled techniques. Furthermore, contributions of such techniques to the testing process are thoroughly examined. Finally, potentials and difficulties of applying these techniques to software testing, along with the promising research directions are discussed.

Islamic inheritance calculation system based on Arabic ontology (AraFamOnto)

Recently, a large number of automated applications are developed to improve the retrieval of different types of knowledge. However, there are few automated applications of semantic web technologies (ontology) for the retrieval of Islamic knowledge and in particular for Arabic language, despite the strong demand and need for this knowledge by Muslims and also by non-Muslims. In this paper, we present AraFamOnto, an Arabic ontology-based inheritance calculation system. The use of ontology is becoming increasingly important to store knowledge about the person's family relationships in order to facilitate research, the processing of information about the person and family members, and the calculation of the inheritance of the deceased person's heirs. We present a practical method to limit the time needed to process family data and reduce human effort in the search for family relationships to calculate the Islamic Inheritance correctly.

Application of Semantic Web Technologies for creating Linked Open Data in Information Retrieval

The field of Library and information sciences has gone through different stages of technological upgrades. The unprecedented growth and changes in the Information and Communication Technology (ICT) has influenced and changed the methods in which information can be retrieved and consumed. The changes have brought forth new challenges as well as new opportunities in the way these services are rendered and availed. This article explores the changes in the field of Library and Information sciences, from the time it started becoming digital and online. The article also discusses how the advanced information technologies including those made in the area of Semantic Web will help improve the Information Retrieval and how Big Data is important for Open Data initiatives.

An Efficient Rule based Decision Support System using Semantic Web Technology

The Semantic Web technology is an efficient mechanism to query or infer knowledge on a global scale using the internet by providing logical reasoning through rule based system. In this paper application of semantic web technology is discussed in context of agriculture knowledge management and delivery. In agriculture, adoption of newly developed technology is essential to enhance crop production. However, timely dissemination of authenticated agriculture information for decision making at larger scale to diversified end user has always been a challenge due to several reasons. One of the reasons is storing and delivering agriculture knowledge in machine readable form. In this paper a frame work based on semantic web is presented for collection, storing and updating of agricultural information at centralized location and delivering knowledge through intelligent decision support system through semantic web. The frame work utilizes rule based system for querying information from agriculture knowledge base.

Profile-Based Semantic Method using Heuristics for Web Search Personalization

User profiles play a critical role in personalizing user search. It assists search systems in retrieving relevant information that is searched on the web considering the user needs. Researchers presented a vast number of profile-based approaches that aims to improve the effectiveness of information retrieval. However, these approaches are syntactic-based which fail to achieve the user satisfaction. By the means that the search results do not meet user preferences, due to the fact that the search is keyword-based rather than semantic-based. Exploiting user profiles with the application of semantic web technology into personalization might produce a step forward in future retrieval systems. By adopting profiling approach and using ontology base characteristics, a semantic-based method using heuristics and KNN algorithm is proposed. It engages searching ontology base domains horizontally and vertically to discover and extract the closest concept to the meaning of the query keyword. The extracted concept is used to expand the user query to personalize the search result and present the customized information for individuals.

Using Semantic Web Technologies to Query and Manage Information within Federated Cyber-Infrastructures

A standardized descriptive ontology supports efficient querying and manipulation of data from heterogeneous sources across boundaries of distributed infrastructures, particularly in federated environments. In this article, we present the Open-Multinet (OMN) set of ontologies, which were designed specifically for this purpose as well as to support management of life-cycles of infrastructure resources. We present their initial application in Future Internet testbeds, their use for representing and requesting available resources, and our experimental performance evaluation of the ontologies in terms of querying and translation times. Our results highlight the value and applicability of Semantic Web technologies in managing resources of federated cyber-infrastructures.

Enhancing factory data integration through the development of an ontology: from the reference models reuse to the semantic conversion of the legacy models

Data integration is one of the most crucial challenges for current manufacturing companies. Indeed, while the extended use of software tools generate more and more data about products, processes, and production resources, still this huge amount of data is represented using different formats and non-aligned structures. This issue is worsened by the fact that data can be found scattered in not linked databases and hosted in mutually incompatible systems. The growing need to access these data and the knowledge that they encapsulate on a global view from different perspectives is addressed by various approaches in order to support the integration between involved systems. This paper deals with the applicability of Semantic Web technologies in industrial context to enhance semantic interoperability. In particular, it proposes a systematic approach to support the development of a semantic model, focusing on the combination of two main critical aspects: the reuse of existing reference models and the semantic migration of the existing legacy models. Even both the aspects have been separately studied in previous research works and even their overlap is recurring during the stage of ontology development, to the best of our knowledge the literature is missing studies covering the synergistic and automatic combination of these two aspects within a holistic approach. The application possibilities of the approach are also investigated within a real case study from a high-precision mould-making company; thus demonstrating its feasibility for use in complex manufacturing contexts.

Software component and the semantic Web: An in-depth content analysis and integration history

A detailed study on the use of Semantic Web technologies in CBSE.Advancement is being made from using ontological concepts to Linked Data in CBSE.Semantic web techniques help in addressing the various challenges that CBSE faces.Simple and freely accessible CBSE applications that employ Semantic Web are limited.Some open issues relevant to the topic in concern have been examined. With the advent of Component-based software engineering (CBSE), large software systems are being built by integrating pre-built software components. The Semantic Web in association with CBSE has shown to offer powerful representation facilities and reasoning techniques to enhance and support querying, reasoning, discovery, etc. of software components. The goal of this paper is to research the applicability of Semantic Web technologies in performing the various tasks of CBSE and review the experimental results of the same in an easy and effective manner. To the best of our knowledge, this is the first study which provides an extensive review of the application of Semantic Web in CBSE from different perspectives. A systematic literature review of the Semantic Web approaches, employed for use in CBSE, reported from 2001 until 2015, is conducted in this research article. Empirical results have been drawn through the question-answer based analysis of the research, which clearly tells the year wise trend of the research articles, with the possible justification of the usage of Semantic Web technology and tools for a particular phase of CBSE. To conclude, gaps in the current research and potential future prospects have been discussed.

Semantic web technologies in AEC industry: A literature overview

Abstract Over the recent years, the usage of semantic web technologies has notably increased in the domains of architecture, engineering and construction (AEC). These technologies are typically considered as complementary to existing and often used Building Information Modelling (BIM) software. The usage of these technologies in the AEC domains is thereby motivated by (1) a desire to overcome the interoperability issue among software tools used in diverse disciplines, or at least improve information exchange processes; (2) a desire to connect to various domains of application that have opportunities to identify untapped valuable resources closely linked to the information already obtained in the AEC domains; and/or (3) a desire to exploit the logical basis of these technologies, which is currently undisclosed in the AEC domains. Through an extensive literature study and survey, this article investigates the development and application progress of semantic web technologies in the AEC domains in accordance with these three primary perspectives. These examinations and analyses provide a complete strategical map that can serve as a robust stepping stone for future research regarding the application of semantic web technologies in the AEC domains. Results show that semantic web technologies have a key role to play in logic-based applications and applications that require information from multiple application areas (e.g. BIM + Infra + GIS + Energy). Notwithstanding fast developments and hard work, challenging research opportunities are situated in (1) the creation and maintenance of the links between the various data sets and in (2) devising beneficial implementation approaches that rely on appropriate combinations of declarative and procedural programming techniques, semantic and legacy data formats, user input, and automated procedures.

Connecting building component catalogues with BIM models using semantic technologies: an application for precast concrete components

Abstract Existing BIM technologies do not provide links to product components that are needed to facilitate the participation of manufacturers in the design and building processes. A deeper integration between product component catalogues and BIM is necessary for this purpose. Through the Linked Data approach, information about building products can be obtained from multiple sources and linked to create semantic descriptions of components that can be retrieved from a BIM model via component catalogues. In this article, we present the case of an application of Semantic Web technologies to connect BIM models with a catalogue of structural precast concrete components, carried out within the research project BAUKOM. As a proof of concept we have implemented a service which accesses the information provided by the catalogue to assist the design team in the assembly and dimensioning of structural components during the project phase.