Supporting Semantic Annotation in Collaborative Workspaces with Knowledge Based on Linked Open Data

2016 ◽  
pp. 515-531
Author(s):  
Anna Goy ◽  
Diego Magro ◽  
Giovanna Petrone ◽  
Marco Rovera ◽  
Marino Segnan
Keyword(s):  
Semantic Annotation ◽  
Open Data ◽  
Linked Open Data ◽  
Knowledge Based

Semantic Annotation and Publication of Linked Open Data

2013 ◽  
pp. 462-474 ◽  
Author(s):  
Serena Sorrentino ◽  
Sonia Bergamaschi ◽  
Elisa Fusari ◽  
Domenico Beneventano
Keyword(s):  
Semantic Annotation ◽  
Open Data ◽  
Linked Open Data

MONTAGE: CREATING SELF-POPULATING DOMAIN ONTOLOGIES FROM LINKED OPEN DATA

2013 ◽  
Vol 07 (04) ◽  
pp. 427-453 ◽  
Author(s):  
SHIMA DASTGHEIB ◽  
ARSHAM MESBAH ◽  
KRYS KOCHUT
Keyword(s):  
Cancer Treatment ◽  
Open Data ◽  
Linked Open Data ◽  
Data Sources ◽  
Data Sets ◽  
Domain Expert ◽  
Domain Specific ◽  
Knowledge Based ◽  
Ontology Design ◽  
Amount Of Knowledge

Domain-specific ontologies have become integral components of numerous semantic- and knowledge-based applications. However, creating such ontologies and populating them with correct individuals is a difficult and time-consuming process. Recently, a vast amount of knowledge has become available as part of the Linked Open Data (LOD) project, which includes data sets in multiple areas. In this paper, we present mOntage, a novel ontology design and population framework, which allows a domain expert to easily define a domain ontology schema and specify the ontology's classes and properties in terms of the subsets of the existing LOD data sources. The classes and properties of the ontology being created can be defined either directly, in terms of existing LOD-available classes and properties, or can be newly constructed by the domain expert. The definitions, called maps, are encoded as part of the ontology itself, effectively converting it into a self-populating ontology. Finally, a dedicated software system automatically populates the ontology with instances obtained from the selected LOD sources by executing suitable SPARQL queries. We illustrate our framework by creating Cancer Treatment ontology in the area of biomedicine.

scholarly journals A Workflow for the Semantic Annotation of Field Books and Specimen Labels

2018 ◽  
Vol 2 ◽  
pp. e25839
Author(s):  
Lise Stork ◽  
Andreas Weber ◽  
Eulàlia Miracle ◽  
Katherine Wolstencroft
Keyword(s):  
Natural History ◽  
Knowledge Base ◽  
Web Application ◽  
Semantic Annotation ◽  
Open Data ◽  
Linked Open Data ◽  
Easy Access ◽  
Observation Data ◽  
Natural History Collections ◽  
Darwin Core

Geographical and taxonomical referencing of specimens and documented species observations from within and across natural history collections is vital for ongoing species research. However, much of the historical data such as field books, diaries and specimens, are challenging to work with. They are computationally inaccessable, refer to historical place names and taxonomies, and are written in a variety of languages. In order to address these challenges and elucidate historical species observation data, we developed a workflow to (i) crowd-source semantic annotations from handwritten species observations, (ii) transform them into RDF (Resource Description Framework) and (iii) store and link them in a knowledge base. Instead of full-transcription we directly annotate digital field books scans with key concepts that are based on Darwin Core standards. Our workflow stresses the importance of verbatim annotation. The interpretation of the historical content, such a resolving a historical taxon to a current one, can be done by individual researchers after the content is published as linked open data. Through the storage of annotion provenance, who created the annotation and when, we allow multiple interpretations of the content to exist in parallel, stimulating scientific discourse. The semantic annotation process is supported by a web application, the Semantic Field Book (SFB)-Annotator, driven by an application ontology. The ontology formally describes the content and meta-data required to semantically annotate species observations. It is based on the Darwin Core standard (DwC), Uberon and the Geonames ontology. The provenance of annotations is stored using the Web Annotation Data Model. Adhering to the principles of FAIR (Findable, Accessible, Interoperable & Reusable) and Linked Open Data, the content of the specimen collections can be interpreted homogeneously and aggregated across datasets. This work is part of the Making Sense project: makingsenseproject.org. The project aims to disclose the content of a natural history collection: a 17,000 page account of the exploration of the Indonesian Archipelago between 1820 and 1850 (Natuurkundige Commissie voor Nederlands-Indie) With a knowledge base, researchers are given easy access to the primary sources of natural history collections. For their research, they can aggregate species observations, construct rich queries to browse through the data and add their own interpretations regarding the meaning of the historical content.

Europeana no Linked Open Data: conceitos de Web Semântica na dimensão aplicada das humanidades digitais

2017 ◽  
Vol 12 (2) ◽  
Author(s):  
Caio Saraiva Coneglian ◽  
José Eduardo Santarem Segundo
Keyword(s):  
Linked Data ◽  
Open Data ◽  
Linked Open Data

O surgimento de novas tecnologias, tem introduzido meios para a divulgação e a disponibilização das informações mais eficientemente. Uma iniciativa, chamada de Europeana, vem promovendo esta adaptação dos objetos informacionais dentro da Web, e mais especificamente no Linked Data. Desta forma, o presente estudo tem como objetivo apresentar uma discussão acerca da relação entre as Humanidades Digitais e o Linked Open Data, na figura da Europeana. Para tal, utilizamos uma metodologia exploratória e que busca explorar as questões relacionadas ao modelo de dados da Europeana, EDM, por meio do SPARQL. Como resultados, compreendemos as características do EDM, pela utilização do SPARQL. Identificamos, ainda, a importância que o conceito de Humanidades Digitais possui dentro do contexto da Europeana.Palavras-chave: Web semântica. Linked open data. Humanidades digitais. Europeana. EDM.Link: https://periodicos.ufsc.br/index.php/eb/article/view/1518-2924.2017v22n48p88/33031

scholarly journals The Evolution of City-as-a-Platform: Smart Urban Development Governance with Collective Knowledge-Based Platform Urbanism

Land ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 33
Author(s):  
Palmyra Repette ◽  
Jamile Sabatini-Marques ◽  
Tan Yigitcanlar ◽  
Denilson Sell ◽  
Eduardo Costa
Keyword(s):  
Urban Development ◽  
Social Economic ◽  
Local Governance ◽  
Open Data ◽  
Journal Articles ◽  
Collective Knowledge ◽  
Digital Revolution ◽  
Knowledge Based ◽  
The Government ◽  
The City

Since the advent of the second digital revolution, the exponential advancement of technology is shaping a world with new social, economic, political, technological, and legal circumstances. The consequential disruptions force governments and societies to seek ways for their cities to become more humane, ethical, inclusive, intelligent, and sustainable. In recent years, the concept of City-as-a-Platform was coined with the hope of providing an innovative approach for addressing the aforementioned disruptions. Today, this concept is rapidly gaining popularity, as more and more platform thinking applications become available to the city context—so-called platform urbanism. These platforms used for identifying and addressing various urbanization problems with the assistance of open data, participatory innovation opportunity, and collective knowledge. With these developments in mind, this study aims to tackle the question of “How can platform urbanism support local governance efforts in the development of smarter cities?” Through an integrative review of journal articles published during the last decade, the evolution of City-as-a-Platform was analyzed. The findings revealed the prospects and constraints for the realization of transformative and disruptive impacts on the government and society through the platform urbanism, along with disclosing the opportunities and challenges for smarter urban development governance with collective knowledge through platform urbanism.

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