Enrichment Ontology via Linked Data

Author(s):  
Salvia Praga

The automatic construction of ontologies from texts is usually based on the text itself, and the domain described is limited to the content of the text. In order to design semantically richer ontologies, the authors propose to extend the classical methods of ontology construction (1) by taking into account the text from the point of view of its structure and its content to build a first nucleus ontology and (2) enriching the ontology obtained by exploiting external resources (general texts and controlled vocabularies of the same domain). This chapter describes how these different resources are analyzed and exploited using linked data properties.

2021 ◽  
Vol 40 (3) ◽  
Author(s):  
Juliet Hardesty ◽  
Allison Nolan

Controlled vocabularies used in cultural heritage organizations (galleries, libraries, archives, and museums) are a helpful way to standardize terminology but can also result in misrepresentation or exclusion of systemically marginalized groups. Library of Congress Subject Headings (LCSH) is one example of a widely used yet problematic controlled vocabulary for subject headings. In some cases, systemically marginalized groups are creating controlled vocabularies that better reflect their terminology. When a widely used vocabulary like LCSH and a controlled vocabulary from a marginalized community are both available as linked data, it is possible to incorporate the terminology from the marginalized community as an overlay or replacement for outdated or absent terms from more widely used vocabularies. This paper provides a use case for examining how the Homosaurus, an LGBTQ+ linked data controlled vocabulary, can provide an augmented and updated search experience to mitigate bias within a system that only uses LCSH for subject headings.


Author(s):  
Sudirman Sudirman

Emotions are human things. When people consider emotions from a strategic leadership point of view, additional individual framing factors become unavoidable and play a role in an organization's management process. This research aimed to evaluate the existing literature on emotion and strategic leadership comprehensively. The study was a survey of the literature on emotion and strategic leadership. Because of the search and exclusion criteria applied, only 24 articles were relevant. The texts were studied using the grounded theory method to build a new theoretical model and identify essential characteristics of organizational emotion shifting. The model tried to demonstrate how the interaction of human and organizational elements and the task and problems faced by strategic leaders result in internal and external emotional shifts. This literature survey and theoretical integration provided a starting point for further research. The results show that the conceptualization of emotions in strategic leadership encompasses all five levels: positive emotions, negative emotions, emotional empowerment (internal emotion shaping), the establishment of external resources, and the use of power (external emotions shaping). The research revealed that emotion in organizational shaping was a key variable. This variable identified the numerous ways strategic leaders use emotion to shape organizations. It indicates that the concept can bring the person (strategic leader) and organizational levels together. In light of the limited literature, mainly focusing on strategic and emotional leadership, the model should be tested as a foundation for future research.


Information ◽  
2019 ◽  
Vol 10 (8) ◽  
pp. 252 ◽  
Author(s):  
Nuno Freire ◽  
René Voorburg ◽  
Roland Cornelissen ◽  
Sjors de Valk ◽  
Enno Meijers ◽  
...  

Online cultural heritage resources are widely available through digital libraries maintained by numerous organizations. In order to improve discoverability in cultural heritage, the typical approach is metadata aggregation, a method where centralized efforts such as Europeana improve the discoverability by collecting resource metadata. The redefinition of the traditional data models for cultural heritage resources into data models based on semantic technology has been a major activity of the cultural heritage community. Yet, linked data may bring new innovation opportunities for cultural heritage metadata aggregation. We present the outcomes of a case study that we conducted within the Europeana cultural heritage network. In this study, the National Library of The Netherlands contributed by providing the role of data provider, while the Dutch Digital Heritage Network contributed as an intermediary aggregator that aggregates datasets and provides them to Europeana, the central aggregator. We identified and analyzed the requirements for an aggregation solution for the linked data, guided by current aggregation practices of the Europeana network. These requirements guided the definition of a workflow that fulfils the same functional requirements as the existing one. The workflow was put into practice within this study and has led to the development of software applications for administrating datasets, crawling the web of data, harvesting linked data, data analysis and data integration. We present our analysis of the study outcomes and analyze the effort necessary, in terms of technology adoption, to establish a linked data approach, from the point of view of both data providers and aggregators. We also present the expertise requirements we identified for cultural heritage data analysts, as well as determining which supporting tools were required to be designed specifically for semantic data.


2018 ◽  
pp. 483-494
Author(s):  
Natalia V. Gonina ◽  
◽  
Anna P. Dvoretskaya ◽  

This archive draws on archival sources to study the Great Fire in Yeniseysk in 1869 and its consequences for development of this northern provincial town. The research derives its novelty from the first publication of documents of the State Archive of the Krasnoyarsk Krai and that of the Irkutsk Region, which describe measures of fire response and name benefactors. Historical approach allows to place specific patterns of local community in the context of social history of the 20th century. Anthropological approach allows to identify means and modes of surviving in a natural disaster. The fire clamed about 200 lives, destroyed all wooden buildings in the town, and disrupted daily activities of more than 7 thousand Yeniseysk citizens. At present, such disasters are considered as more than just local disasters. From the religious point of view, such natural disasters disrupt the balance and harmony of the God's world and require worldwide effort to set it to rights. The case-study of the Yeniseysk community concludes that actions of a person within the fire storm were determined not just by self-preservation, but also by responsibility for the lives of those around them. People appealed to church for help. Many Yeniseysk priests rose to the occasion as their vocation demanded. The archival documents show how rapidly the nation responded to the disaster. The case-study of Yeniseysk in 1869-1871 demonstrates an array of measures aiming to attract external resources. The activities were based on Christian principles of communal spirit and charity, community help and civic cooperation in joined efforts of state and public institutions, private and corporate donors. The article concludes that effective moneyed assistance and social support significantly decreased the severity of losses.


2021 ◽  
Vol 33 ◽  
Author(s):  
Everton Rodrigues Barbosa ◽  
Moisés Lima Dutra ◽  
Angel Freddy Godoy Viera ◽  
Douglas Dyllon Jeronimo de Macedo

Abstract Most libraries put a lot of effort into developing subject headings or thesauri, which are used to index and retrieve information. Nevertheless, in the library field, controlled vocabularies are associated to authority records as authority files. In order to become findable by search engines, these authority files should be modelled on semantic vocabularies. This research proposes an authority-record conversion process for publishing thesauri and subject headings as linked data, by using the Simple Knowledge Organization Systems data model. To this purpose, we undertook a bibliographic and documentary research on the World Wide Web Consortium recommendation guidelines, which were used to produce a set of procedures and technologies to support the conversion proposal. This research provides evidences that controlled vocabularies are an important resource for improving information retrieval on the web. The proposed conversion process works as a quick guide for controlled vocabulary integration and reuse among users and systems on the linked data environment. Although the proposal was originally intended for a library setting, it can be applied and tested in another type of institution, such as documentation centres, museums, or cultural heritage archives. It can also be used in other linked open data projects.


2017 ◽  
Vol 13 (4) ◽  
pp. 155-180 ◽  
Author(s):  
Laurens De Vocht ◽  
Selver Softic ◽  
Ruben Verborgh ◽  
Erik Mannens ◽  
Martin Ebner

When researchers formulate search queries to find relevant content on the Web, those queries typically consist of keywords that can only be matched in the content or its metadata. The Web of Data extends this functionality by bringing structure and giving well-defined meaning to the content and it enables humans and machines to work together using controlled vocabularies. Due the high degree of mismatches between the structure of the content and the vocabularies in different sources, searching over multiple heterogeneous repositories of structured data is considered challenging. Therefore, the authors present a semantic search engine for researchers facilitating search in research related Linked Data. To facilitate high-precision interactive search, they annotated and interlinked structured research data with ontologies from various repositories in an effective semantic model. Furthermore, the authors' system is adaptive as researchers can synchronize using new social media accounts and efficiently explore new datasets.


2015 ◽  
Vol 15 (3-4) ◽  
pp. 177-190 ◽  
Author(s):  
Silvia B. Southwick ◽  
Cory K. Lampert ◽  
Richard Southwick

2020 ◽  
Vol 19 (2) ◽  
pp. 63
Author(s):  
R. G. Santos ◽  
P. R. Faria ◽  
I. C. Belisario ◽  
M. A. Barrone ◽  
J. J.C. Santos

Thermoeconomics is a discipline that connects Thermodynamics and Economics concepts, usually used for rational cost allocation to the final products of a thermal plant, by means of a model that describes the cost formation process of the overall system. Generally, exergy or monetary costs of the external resources are distributed to the final products. Exergy is the thermodynamic magnitude used in thermoeconomics and the physical exergy disaggregation has been introduced in thermoeconomics as alternatives for the isolation of the dissipative components and residues allocation. For plants with dissipative equipment, such as condenser or valve, the productive diagram, based on total exergy (E Model), need to merge this dissipative equipment with other productive components. In order to isolate the condenser, the productive diagram must use, at least, the H&S Model and to isolate the valve, the UFS Model has to be considered.Both disaggregation models greatly increase the thermoeconomic modeling complexity. Bearing this in mind, this work aims to evaluate the advantages of combining the E Model with these other models in order to adequately isolate the dissipative equipment. The plants studied herein are two different steam turbine cogeneration systems, with dissipative components (condenser or valve). The different monetary and exergy unit costs obtained for the two final products of each plant are compared and analyzed.  The results show that localized physical exergy disaggregation for dissipative component isolation in thermoeconomics is feasible, since it reduces the complexity of the productive structure and is also consistent from the point of view of thermodynamics.


2022 ◽  
Vol 355 ◽  
pp. 02029
Author(s):  
Yimin Du ◽  
Lingling Shi ◽  
Xiang Zhai ◽  
Hanqing Gong ◽  
Zhijing Zhang

The actual product assembly process mainly relies on manual assembly by workers, and the personal experience of workers is difficult to effectively reuse. Ontology as a knowledge management and expression tool is gradually applied in the field of assembly. However, the manual construction of the ontology is time-consuming and labor-intensive, and the automatic construction of the ontology requires a large number of corpora for training, both of which are difficult to obtain a good assembly case ontology. This paper proposes a method in which automatically extracts relevant knowledge from case assembly process files to generates case database and integrates ontology framework of assembly domain to construct ontology. It shows that the accuracy can be guaranteed on the basis of the rapid construction of case ontology. The feasibility of this method is proved by a practical case.


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