1,720,967 research outputs found
Sensor-based linked open rules (S-LOR): An automated rule discovery approach for IoT applications and its use in smart cities
No full textBuilding semantic models and knowledge graphs for intelligent smart manufacturing applications
No full textIndustry 4.0 (I4.0) (or smart manufacturing) is a new era in the industrial revolution that emphasises machine connectivity, automation, and data an alytics. This revolution has led to the creation of production lines that produce machine-generated process data through sensors, leading to in creased efficiency and productivity. Ontologies have been used to integrate the data from various formats into a single, unified form. However, most of these ontologies have overstudied the essential concepts related to the I4.0 production line that are of key importance in building a knowledge graph for smart manufacturing. This thesis aims to propose a framework that can be adopted by any I4.0 production line with minimal modifications to build its knowledge graph. The framework has been tested using realistic data from two separate industrial use cases. The existing ontologies in the manufacturing domain have limited depth and expressiveness due to their scope and purpose mapping for applica tion specificity. As a result, this hinders the stakeholders in constructing their knowledge graphs. The First Contribution of this thesis is to address this challenge of application specificity. We provide Reference Generalized Ontological Model (RGOM) based on the Reference Architecture Model for I4.0. The I4.0-based Knowledge Graphs, or Knowledge Graph (KG) have been receiving significant attention over the past few years, and many re searchers are involved in building them in the form of manufacturing pro duction lines KG. However, most of the time, they have limitations when applied to a specific use case. These use cases are based on two possibili ties: (1) if the researchers are using synthetic data, or (2) if the use case is coming from an industry based on their private company data. The Sec ond Contribution of this thesis is to address this challenge related to data being real or synthetic. We provide one of the first datasets based on the re alistic data collected from a football production line. We have proposed an automated approach for mapping the data into RGOM to build a KG that is made publicly available for experiments by the I4.0 community. Moreover, the dataset enables the demonstration of RGOM adaptability with minimal modification in a manufacturing environment. The current techniques used to build KGs focus on integrating data from heterogeneous sources and often result in missing links between the entities. As a consequence of the missing links within the KGs, they cannot be exploited by the applications. We observe some missing links in the developed football production line KG. The Third Contribution of this thesis is to solve this challenge related to missing links. We address the challenge of KG missing links by utilizing state-of-the-art KG embedding models, namely ComplEx, DistMult, TransE, ConvKB, and ConvE, on football manufacturing production line datasets. The current ontologies are not publicly available and therefore cannot be accessed by other users for reuse purposes. Such a lack of availabil ity often requires that users build their ontologies from scratch, is a time consuming task. The Fourth Contribution of this thesis is the employ ment of a use case from Bosch to determine how RGOM can serve as a do main manufacturing ontology, facilitating integration among various data sources. In relation to this, we developed the Resistance Spot Welding Ontol ogy (RSWO) and align it with the RGOM. This research has introduced the Reference Generalised Ontological Model (RGOM) as a flexible framework for manufacturing production lines, which can be applied to any production line with minimal modifications. It can also be employed as a manufacturing domain-level ontology by align ing ontologies at the application level for enhanced interoperability. The results on the benchmark dataset (I40KG) have demonstrated more effi cient production processes and improved overall performance. Further more, the process of predicting missing links in the I40KG indicated that translational models demonstrated better performance on manufacturing based KGs compared to neural network models. This distinction can be attributed to the hierarchical structure of the KGs
Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Get PDF“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Get PDFWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Get PDFWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
- …
