SPARQL – Compliant Semantic Search Engine with an Intuitive User Interface

2014 ◽  
pp. 201-210 ◽  
Author(s):  
Adam Styperek ◽  
Michal Ciesielczyk ◽  
Andrzej Szwabe
Keyword(s):  
User Interface ◽  
Search Engine ◽  
Semantic Search ◽  
Intuitive User Interface ◽  
Semantic Search Engine

A Vertical Semantic Search Engine In Electric Power Metering Domain

2021 ◽  
Author(s):  
Li Sheng ◽  
Zheng Kaihong ◽  
Yang Jinfeng ◽  
Wang Xin ◽  
Zeng Lukun ◽  
...  
Keyword(s):  
Electric Power ◽  
Search Engine ◽  
Semantic Search ◽  
Power Metering ◽  
Semantic Search Engine

scholarly journals COVID-19 preVIEW: Semantic Search to Explore COVID-19 Research Preprints

2021 ◽  
Author(s):  
Lisa Langnickel ◽  
Roman Baum ◽  
Johannes Darms ◽  
Sumit Madan ◽  
Juliane Fluck
Keyword(s):  
Search Engine ◽  
Access Point ◽  
Semantic Search ◽  
Web Interface ◽  
Disease Trajectory ◽  
Human Genes ◽  
Central Access ◽  
Semantic Information Retrieval ◽  
User Friendly ◽  
Semantic Search Engine

During the current COVID-19 pandemic, the rapid availability of profound information is crucial in order to derive information about diagnosis, disease trajectory, treatment or to adapt the rules of conduct in public. The increased importance of preprints for COVID-19 research initiated the design of the preprint search engine preVIEW. Conceptually, it is a lightweight semantic search engine focusing on easy inclusion of specialized COVID-19 textual collections and provides a user friendly web interface for semantic information retrieval. In order to support semantic search functionality, we integrated a text mining workflow for indexing with relevant terminologies. Currently, diseases, human genes and SARS-CoV-2 proteins are annotated, and more will be added in future. The system integrates collections from several different preprint servers that are used in the biomedical domain to publish non-peer-reviewed work, thereby enabling one central access point for the users. In addition, our service offers facet searching, export functionality and an API access. COVID-19 preVIEW is publicly available at https://preview.zbmed.de.

Requirements to Modern Semantic Search Engine

2016 ◽  
pp. 328-343 ◽  
Author(s):  
Ricardo Usbeck ◽  
Michael Röder ◽  
Peter Haase ◽  
Artem Kozlov ◽  
Muhammad Saleem ◽  
...  
Keyword(s):  
Search Engine ◽  
Semantic Search ◽  
Semantic Search Engine

Semantic Search Engine and Object Database Guidelines for Service Oriented Architecture Models

2013 ◽  
pp. 225-250
Author(s):  
Omar Shehab ◽  
Ali Hussein Saleh Zolait
Keyword(s):  
Search Engine ◽  
Service Oriented Architecture ◽  
Query Language ◽  
Semantic Search ◽  
Semantic Query ◽  
Qualitative Survey ◽  
Ontology Language ◽  
Service Oriented ◽  
The Cost ◽  
Semantic Search Engine

In this paper, the authors propose a Semantic Search Engine, which retrieves software components precisely and uses techniques to store these components in a database, such as ontology technology. The engine uses semantic query language to retrieve these components semantically. The authors use an exploratory study where the proposed method is mapped between object-oriented concepts and web ontology language. A qualitative survey and interview techniques were used to collect data. The findings after implementing this research are a set of guidelines, a model, and a prototype to describe the semantic search engine system. The guidelines provided help software developers and companies reduce the cost, time, and risks of software development.

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