Integration of Linked Open Data Authorities with OpenRefine : A Methodology for Libraries

The primary purpose of this paper is to explore the integration process of linked open data authority with OpenRefine for easy access of related metadata towards the creation of data cleaning and updating in a modern integrated library system. The integration process and methods are based on the API of reconciliation repositories collected from web resources. This integrated framework will be designed and developed on OpenRefine techniques and components based on RDF, CSV, SPARQL, and Turtle scripts. This integrated framework is based on JAVA and Apache Web Server for running the OpenRefine on the Ubuntu Platform. This integrated framework has been explored the data cleaning and import of bibliographic metadata from multiple linking authorities such as Open Library, ORCID, VIAF, VIAF BNF, Library of Congress Authorities data, and Wikidata. These are the essential findings of this study for creating a new interface to library professionals and advanced users. The library professionals are very much benefitted by using this system and services towards easy import and access of related linking resources from the Wikidata. Aside from these, it also explores the other facilities for data cleaning and updating the information from multiple scripts and URLs in the Web environment. It is possible to fetch related linking authorities for enhancing the advanced level services in a modern library management system. So, library carpentry and data carpentry are essential concepts for making a dynamic integrated interface for library professionals

Evaluating The Semantic Mapping

Along the increasing of the importance of links in the network of data, they should be considered more in the mapping relational to graph model. Semantic abstraction gaps often occur during the mapping process where the link in the real world is mapped as a node in a graph model. This paper focused on evaluating the result of mapping and converting without losing the semantics. We propose the evaluation of our approach by using schema.org as the semantic standard. The experiments in three data sets show that the semantic mapping approach is pretty effective. We obtain quite good score matching without considering the gap index (the average is 0.6922) and with considering the gap index (the average is 0.5264) and the average precision score, 0.7042, is pretty good too

Linked data approach in accessing geospatial big data

Today, linked data is frequently associated with Geographic Information Systems (GIS) as its technology stack is utilized in alleviating geospatial data integration issue. Geospatial data have become ubiquitous as they have emerged everywhere and these data can be geo-referenced. One of the types of georeferenced data that is lacking in Malaysia is the insufficient availability of Malaysian oceanographic data. It is a great relief to know that most of the earth observation agencies have granted access into their data obtained from satellite altimetry. Consequently, the exponential growth of geospatial data as well as its complexity and diversity has led to big data problem and caused information sharing and exchange on the web becoming more complicated. To resolve this issue, linked data should be used in handling geospatial big data. Linked data is one of the best practices for exposing, sharing, publishing and connecting the structured data on the web. This study explored linked data as an approach to provide access to the Malaysian physical oceanography datasets on the web, which would allow the data to be standardized in a machine-readable format. The research reviewed the existing software tools used in publishing linked data, identified an appropriate software tool to generate Resource Description Framework (RDF) presenting geographical data and built a physical oceanography data website based on linked data principles. Initially, document analysis was conducted to review the existing linked data tools that have been used for geospatial data. Various scholarly articles, journals, tutorials and web pages were used as references to investigate the use of linked data tools. Based on the review, five software tools, namely Geometry2RDF, TripleGeo, Datalift, OpenLink Virtuoso and KARMA were identified as the appropriate tools to generate the RDF. Each of this software tool has its own capabilities and functionalities. Next, the tools were compared with one another based on literature review to get the best possible tool that can manage georeferenced oceanographic data. After the comparison, this study identified the best software tool to transform the shapefile into the RDF format was Datalift. Finally, a web-based information system was built to publish the linked data to data interlinking and sharing by web users. In conclusion, this study has introduced an alternative way to publish and access geospatial data, particularly related to physical oceanography datasets using linked data principles. Using such an approach would facilitate stakeholders and unveil information within the big data, thus enriching the discovery of geospatial information on the web

Application-agnostic Personal Storage for Linked Data

Personaalsete andmete ristkasutuse puudumine veebirakenduste vahel on viinud olukorrani, kus kasutajate identiteet ja andmed on hajutatud eri teenusepakkujate vahel. Sellest tulenevalt on suuremad teenusepakkujad, kel on rohkem teenuseid ja kasutajaid,\n\rväiksematega võrreldes eelisseisus kasutajate andmete pealt lisandväärtuse, sh analüütika, pakkumise seisukohast. Lisaks on sellisel andmete eraldamisel negatiivne mõju lõppkasutajatele, kellel on vaja sarnaseid andmeid korduvalt esitada või uuendada eri teenusepakkujate juures vaid selleks, et kasutada teenust maksimaalselt. Käesolevas töös kirjeldatakse personaalse andmeruumi disaini ja realisatsiooni, mis lihtsustab andmete jagamist rakenduste vahel. Lahenduses kasutatakse AppScale\n\rrakendusemootori identiteedi infrastruktuuri, millele lisatakse personaalse andmeruumi teenus, millele ligipääsu saab hallata kasutaja ise. Andmeruumi kasutatavus eri kasutuslugude jaoks tagatakse läbi linkandmete põhimõtete rakendamise.Recent advances in cloud-based applications and services have led to the continuous replacement of traditional desktop applications with corresponding SaaS solutions. These cloud applications are provided by different service providers, and typically manage identity and personal data, such as user’s contact details, of its users by its own means.\n\rAs a result, the identities and personal data of users have been spread over different applications and servers, each capturing a partial snapshot of user data at certain time moment. This, however, has made maintenance of personal data for service providers difficult and resource-consuming. Furthermore, such kind of data segregation has the overall negative effect on the user experience of end-users who need to repeatedly re-enter and maintain in parallel the same data to gain the maximum benefit out of their applications. Finally, from an integration point of view – sealing of user data has led to the adoption of point-to-point integration models between service providers, which limits the evolution of application ecosystems compared to the models with content aggregators and brokers.\n\rIn this thesis, we will develop an application-agnostic personal storage, which allows sharing user data among applications. This will be achieved by extending AppScale app store identity infrastructure with a personal data storage, which can be easily accessed by any application in the cloud and it will be under the control of a user. Usability of data is leveraged via adoption of linked data principles

Linked data to streaming data sensors sources for direct access

Goal: Industrial operations are complex, and data sensors assure safety and reliable information for production improvements. Multiple stakeholders can take advantage of data acquisition for post-analysis and process control. Providing users and systems with friendly access to operating data is fundamental to the digital transition in the industry 4.0 scenario. Linking data and systems over ontologies and Industry Foundation Classes will boost supply chain performance in many layers. This paper presents the concept of valid data points over Uniform Resource Identifiers for sensor time-series into triples stores via Application Programming Interfaces. Design/Methodology/Approach: A streaming data source approach to integrating industrial sensor data and sharing it via Uniform Resource Identifiers is developed and tested using Node-Red with multiple data connection types, such as the Industry Foundation Classes and open-source time series databases. Results: The detailed proof of concept presented valid the feasibility of sharing sensor data via Uniform Resource Identifiers. The findings provide a backbone of a system able to interop Message Queuing Telemetry Transport data, Resource Description Framework datasets and Industry Foundation Classes schema. Limitations of the investigation: The system envisaged was tested using simulated data. However, it is expected to have similar results from real data use. Nevertheless, more research will be needed to implement more features, such as three-dimensional object integration. Practical implications: The solution designed and tested presented can be used in practice for companies that desire to expand via linked data shareability and interoperability. Also, researchers can advance the solution for specific features, such as creating an open-source data query and manipulation language. Originality/Value: This paper examines future deployments of systems-to-systems interoperability targeting user-friendly data shareability. It is meant to be useful for industrial and academic developments

Linked Data: what happens to heterogeneity and interoperability

Linked Data – LD, allows the construction of the Web of Data, which use basic principles that contribute to the growth of the Web. The process developed by LD faces different scenarios that seem to limit the linking process. This paper exposes the problems of heterogeneity, interoperability and data quality, as factors that restrict the process of data linkage. For this, the methodological design performs a bibliographic exploration; the results examine and discuss the postures about the mentioned problems, and the possible incidence of these in the quality of the linked data. In conclusion, speaking about heterogeneity is intrinsic, since the information will always be heterogeneous. Data models may be different but if the data format is common, interoperability is possible. Data models must be known and public, in order to avoid problems that prevent the development of the Web Data.Linked Data – LD, allows the construction of the Web of Data, which use basic principles that contribute to the growth of the Web. The process developed by LD faces different scenarios that seem to limit the linking process. This paper exposes the problems of heterogeneity, interoperability and data quality, as factors that restrict the process of data linkage. For this, the methodological design performs a bibliographic exploration; the results examine and discuss the postures about the mentioned problems, and the possible incidence of these in the quality of the linked data. In conclusion, speaking about heterogeneity is intrinsic, since the information will always be heterogeneous. Data models may be different but if the data format is common, interoperability is possible. Data models must be known and public, in order to avoid problems that prevent the development of the Web Data

Linked Data: what happens to heterogeneity and interoperability

Linked Data – LD, allows the construction of the Web of Data, which use basic principles that contribute to the growth of the Web. The process developed by LD faces different scenarios that seem to limit the linking process. This paper exposes the problems of heterogeneity, interoperability and data quality, as factors that restrict the process of data linkage. For this, the methodological design performs a bibliographic exploration; the results examine and discuss the postures about the mentioned problems, and the possible incidence of these in the quality of the linked data. In conclusion, speaking about heterogeneity is intrinsic, since the information will always be heterogeneous. Data models may be different but if the data format is common, interoperability is possible. Data models must be known and public, in order to avoid problems that prevent the development of the Web Data.Linked Data – LD, allows the construction of the Web of Data, which use basic principles that contribute to the growth of the Web. The process developed by LD faces different scenarios that seem to limit the linking process. This paper exposes the problems of heterogeneity, interoperability and data quality, as factors that restrict the process of data linkage. For this, the methodological design performs a bibliographic exploration; the results examine and discuss the postures about the mentioned problems, and the possible incidence of these in the quality of the linked data. In conclusion, speaking about heterogeneity is intrinsic, since the information will always be heterogeneous. Data models may be different but if the data format is common, interoperability is possible. Data models must be known and public, in order to avoid problems that prevent the development of the Web Data

A Semantic Web approach to ontology-based system: integrating, sharing and analysing IoT health and fitness data

With the rapid development of fitness industry, Internet of Things (IoT) technology is becoming one of the most popular trends for the health and fitness areas. IoT technologies have revolutionised the fitness and the sport industry by giving users the ability to monitor their health status and keep track of their training sessions. More and more sophisticated wearable devices, fitness trackers, smart watches and health mobile applications will appear in the near future. These systems do collect data non-stop from sensors and upload them to the Cloud. However, from a data-centric perspective the landscape of IoT fitness devices and wellness appliances is characterised by a plethora of representation and serialisation formats. The high heterogeneity of IoT data representations and the lack of common accepted standards, keep data isolated within each single system, preventing users and health professionals from having an integrated view of the various information collected. Moreover, in order to fully exploit the potential of the large amounts of data, it is also necessary to enable advanced analytics over it, thus achieving actionable knowledge. Therefore, due the above situation, the aim of this thesis project is to design and implement an ontology based system to (1) allow data interoperability among heterogeneous IoT fitness and wellness devices, (2) facilitate the integration and the sharing of information and (3) enable advanced analytics over the collected data (Cognitive Computing). The novelty of the proposed solution lies in exploiting Semantic Web technologies to formally describe the meaning of the data collected by the IoT devices and define a common communication strategy for information representation and exchange

Linked Data and Linked Open Data Projects for Libraries, Archives and Museums: Constructing Pathways to Information Discovery and Cultural Heritage Sector Collaboration

This paper examines current Cultural Heritage-based Linked data and linked open data projects developed by Libraries, Archives and Museums (LAMs). The following research questions are explored: R1: Are there similarities and/or differences between libraries, archives and museums in how their linked data and linked open data projects, approaches and strategies are being implemented? R2: What specific linked data and linked open data tools and tactics are being employed, and are there key variations between libraries, archives and museums? The linked data/linked open data landscape has advanced since Tim Berners-Lee (et al.) introduced the concept of the Semantic Web, but challenges for LAMs remain as they work with their collections’ data to create new web-based projects. Fundamental to these efforts is the creation, linking, and publishing of good quality metadata that will allow LAM collections to be discovered, accessed, and disseminated through viable methods. Trends across LAM sectors for linked data and linked open data projects include: global communication and collaborative research, use of wiki-based technologies, and efforts to improve sustainability. Application concepts from the Digital Curation Centre’s Curation Lifecycle Model and Adrian Brown’s Digital Preservation Maturity Model may help guide LAMs toward greater sustainability of linked data and linked open data collections’ projects. Keywords

«Internet of Things -RFID και προσωπικά δεδομένα : θέματα ασφαλείας και απορρήτου στο διαδίκτυο των πραγμάτων (IoT)»

Διπλωματική εργασία--Πανεπιστήμιο Μακεδονίας, Θεσσαλονίκη, 2019.Η παρούσα διπλωματική εργασία αποτελεί μια μελέτη του Διαδικτύου των Πραγμάτων (IoT), εστιάζοντας στους τομείς εφαρμογής του ,στις νέες ψηφιακές τεχνολογίες και ειδικότερα στα θέματα ασφαλείας και προστασίας προσωπικών δεδομένων που προκύπτουν κατά τη διάρκεια της επέκτασής του. Το Διαδίκτυο των πραγμάτων έχει αλλάξει ραγδαία την καθημερινότητα των ανθρώπων χάριν των ωφελειών που προσφέρουν οι ΙοΤ συσκευές στους διαφόρους τομείς της ζωής τους. Με τη διασύνδεση εκατομμυρίων συσκευών και αντικειμένων στο Διαδίκτυο , στέλνονται και λαμβάνονται χιλιάδες δεδομένα διευκολύνοντας έτσι την επικοινωνία μεταξύ ανθρώπων και συσκευών. Αυτό φυσικά εκτός από οφέλη κρύβει και κινδύνους καθώς η αύξηση των διασυνδεδεμένων συσκευών σε συνδυασμό με τα κενά ασφαλείας που μπορεί να υπάρχουν, δίνουν περισσότερες ευκαιρίες ώστε να πραγματοποιηθούν επιθέσεις και να διαρρεύσουν δεδομένα. Δυστυχώς σε πολλές από τις συσκευές του Διαδικτύου των Πραγμάτων δεν έχουν ληφθεί τα κατάλληλα μέτρα προστασίας ,όπως η κρυπτογράφηση, εξαιτίας της αδυναμίας τους να χρησιμοποιήσουν νέα πρωτόκολλα ασφαλείας ή εξαιτίας των ελλείψεων τους από τους κατασκευαστές τους. Παράλληλα δημιουργούνται και άλλα ζητήματα ως προς την διασφάλιση των Προσωπικών Δεδομένων. Πολλοί χρήστες δεν γνωρίζουν ότι συλλέγονται δεδομένα τους ή ακόμη δεν έχουν δώσει τη συγκατάθεσή τους για την επεξεργασία τους. Πολλά από τα δεδομένα που συλλέγουν οι αισθητήρες μπορούν να εντοπίσουν τους χρήστες και ακόμη και να καταρτίσουν ένα προφίλ για αυτούς. Αυτό συνεπάγεται τη συνεχή παραβίαση του απορρήτου, με αποτέλεσμα να χάνεται κάθε έννοια ιδιωτικότητας. Για την αντιμετώπιση όλων αυτών των κινδύνων απαραίτητη είναι η αναγκαιότητα υιοθέτησης μηχανισμών ασφαλείας. Παράλληλα η Ευρωπαϊκή Νομοθεσία έχει μεριμνήσει για την ασφαλή συλλογή και επεξεργασία προσωπικών δεδομένων στο διαδίκτυο των πραγμάτων. Ως εκ τούτου αντικείμενο αυτής της εργασίας είναι η εισαγωγή στον κόσμο του Διαδικτύου των Πραγμάτων και σε θέματα ασφαλείας και απόρρητου που προκύπτουν ως προς την επεξεργασία προσωπικών δεδομένων. Αρχικά γίνεται μία παρουσίαση των συστημάτων και της έννοιας του Διαδικτύου των Πραγμάτων συνδέοντάς το ταυτόχρονα με τις νέες Ψηφιακές Τεχνολογίες. Εν συνεχεία γίνεται μία εκτενής περιγραφή της τεχνολογίας του ΙοΤ και των RFID συστημάτων, ενώ ακολούθως προβάλλονται οι διάφοροι κίνδυνοι που προκύπτουν στο ΙοΤ. Η επόμενη ενότητα αφορά τις τεχνικές ασφαλείας που μπορούν να εφαρμοστούν στο Διαδίκτυο των Πραγμάτων καθώς και όλα τα απαραίτητα μέτρα για τη διασφάλιση των Προσωπικών Δεδομένων από επιθέσεις . Παράλληλα στο 7ο κεφάλαιο της εργασίας γίνεται μία συγκριτική μελέτη για τη διασφάλιση των προσωπικών δεδομένων σε τέσσερις Έξυπνες Ευρωπαϊκές πόλεις (Smart Cities). Κατόπιν, το 8ο κεφάλαιο εστιάζει στα προβλήματα προστασίας που προκύπτουν από την επεξεργασία προσωπικών δεδομένων στα συστήματα του διαδικτύου των πραγμάτων και τέλος, το τελευταίο κεφάλαιο δίνει έμφαση στη σημαντικότητα των αρχών της Ευρωπαϊκής νομοθεσίας για την προστασία των προσωπικών δεδομένων, μέσω του Γενικού Κανονισμού Προστασίας Δεδομένων 2016/679, της γνωμοδότησης 8/2014 καθώς και λοιπών Ευρωπαϊκών οδηγιών και νόμων