scholarly journals Semantic Web Research Trends and Directions

2005 ◽  
pp. 160-169
Author(s):  
Jennifer Golbeck ◽  
Bernardo Cuenca Grau ◽  
Christian Halaschek-Wiener ◽  
Aditya Kalyanpur ◽  
Bijan Parsia ◽  
...  
Keyword(s):  
Semantic Web ◽  
Research Trends ◽  
Web Research

Semantic Web Research Trends and Directions

2006 ◽  
Author(s):  
Jennifer Golbeck ◽  
Bernardo Cuenca Gran ◽  
Christian Halaschek-Wiener ◽  
Aditya Kalyanpur ◽  
Yarden Katz ◽  
...  
Keyword(s):  
Semantic Web ◽  
Research Trends ◽  
Web Research

scholarly journals Web Semântica no repositório BRAPCI

2016 ◽  
Vol 9 (2) ◽  
Author(s):  
Nátalia NAKANO ◽  
Talita Cristina da SILVA ◽  
Maria José Vicentini JORENTE ◽  
José Eduardo SANTARÉM SEGUNDO
Keyword(s):  
Semantic Web ◽  
Information Science ◽  
Research Problem ◽  
Human Knowledge ◽  
Practical Applications ◽  
The World ◽  
Working Together ◽  
The Subject ◽  
Web Research ◽  
Productive Authors

In 2001 Tim Berners-Lee revealed to the world what he wanted for the future of Web - man and machine working together to develop complex tasks, and that the Web could leverage the way human knowledge is acquired. Since then researchers from different fields of knowledge have engaged in scientific and empirical research to make this dream come true. In this context, the research problem of this article is established: What is the current situation of Semantic Web research in Brazil in Information Science? Who are the researchers of this theme in our country? What are the institutions that support these studies? The present study aimed at listing the most productive authors, institutions that support their research and the specific issues of their investigations. We conducted a literature review in Base de Dados Referencial de Artigos de Periódicos em Ciência da Informação (BRAPCI). We retrieved 41 articles, excluded five for not belonging to Brazilian authors and Brazilian institutions. From the analysis of this corpus, we realized the need to include additional keywords to better understanding of specific studies encompassed by the theme. Thus, we included the keywords: SPARQL, SKOS, RDF and ontology. It was concluded that the studies on the Semantic Web under the aegis of Information Science mostly perform theoretical and philosophical studies, while the computer science professionals seek practical applications of the topic. It was also concluded that a study including other databases could reveal other authors and institutions relevant to the subject of study.

scholarly journals Facade-X: An Opinionated Approach to SPARQL Anything

2021 ◽  
Author(s):  
Enrico Daga ◽  
Luigi Asprino ◽  
Paul Mulholland ◽  
Aldo Gangemi
Keyword(s):  
Semantic Web ◽  
Cognitive Complexity ◽  
General Purpose ◽  
Research Community ◽  
Alternative Solution ◽  
Know How ◽  
Specific Mapping ◽  
Multiple Languages ◽  
Web Research ◽  
State Of Art

The Semantic Web research community understood since its beginning how crucial it is to equip practitioners with methods to transform non-RDF resources into RDF. Proposals focus on either engineering content transformations or accessing non-RDF resources with SPARQL. Existing solutions require users to learn specific mapping languages (e.g. RML), to know how to query and manipulate a variety of source formats (e.g. XPATH, JSON-Path), or to combine multiple languages (e.g. SPARQL Generate). In this paper, we explore an alternative solution and contribute a general-purpose meta-model for converting non-RDF resources into RDF: Facade-X. Our approach can be implemented by overriding the SERVICE operator and does not require to extend the SPARQL syntax. We compare our approach with the state of art methods RML and SPARQL Generate and show how our solution has lower learning demands and cognitive complexity, and it is cheaper to implement and maintain, while having comparable extensibility and efficiency.

Smart objects: Challenges for Semantic Web research

Semantic Web ◽  
2010 ◽  
Vol 1 (1,2) ◽  
pp. 127-130 ◽  
Author(s):  
Marta Sabou
Keyword(s):  
Semantic Web ◽  
Smart Objects ◽  
Web Research

scholarly journals A Survey on Tools essential for Semantic web Research

2013 ◽  
Vol 62 (9) ◽  
pp. 26-29 ◽  
Author(s):  
Jenice AromaR ◽  
Mathew Kurian
Keyword(s):  
Semantic Web ◽  
Web Research
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