LOD search engine: A semantic search over linked data

2021 ◽  
Author(s):  
Hiteshwar kumar Azad ◽  
Akshay Deepak ◽  
Amisha Azad
Keyword(s):  
Search Engine ◽  
Linked Data ◽  
Semantic Search

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.

A Review on Semantic Text and Multimedia Retrieval and Recent Trends

2015 ◽  
Vol 6 (1) ◽  
pp. 54-74
Author(s):  
Oğuzhan Menemencioğlu ◽  
İlhami Muharrem Orak
Keyword(s):  
Semantic Web ◽  
Search Engine ◽  
Search Engines ◽  
Semantic Search ◽  
Multimedia Retrieval ◽  
Web Pages ◽  
The Face ◽  
Recent Trends ◽  
New Applications ◽  
Machine Readable

Semantic web works on producing machine readable data and aims to deal with large amount of data. The most important tool to access the data which exist in web is the search engine. Traditional search engines are insufficient in the face of the amount of data that consists in the existing web pages. Semantic search engines are extensions to traditional engines and overcome the difficulties faced by them. This paper summarizes semantic web, concept of traditional and semantic search engines and infrastructure. Also semantic search approaches are detailed. A summary of the literature is provided by touching on the trends. In this respect, type of applications and the areas worked for are considered. Based on the data for two different years, trend on these points are analyzed and impacts of changes are discussed. It shows that evaluation on the semantic web continues and new applications and areas are also emerging. Multimedia retrieval is a newly scope of semantic. Hence, multimedia retrieval approaches are discussed. Text and multimedia retrieval is analyzed within semantic search.

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