scholarly journals Semantic Representation and Optimized Querying of Cancer Data using Modified Shuffled Frog Leaping Algorithm

2019 ◽  
Vol 8 (3) ◽  
pp. 1306-1308
Keyword(s):  
Data Model ◽  
Query Language ◽  
Semantic Representation ◽  
Cancer Registries ◽  
Shuffled Frog Leaping Algorithm ◽  
Cancer Disease ◽  
Cancer Data ◽  
Semantic Data ◽  
Shuffled Frog Leaping ◽  
Description Framework

Cancer registries are most important to predict and treat the cancer disease. Numerous solutions are available in research to analyze the data in cancer registries. However, there is a lack of well defined data model since there is a link to external web pages. In order to overcome this issue a system is proposed to represent the cancer data using a semantic data model. The data model uses a Resource Description Framework (RDF) format to represent the data from the local cancer databases. It also uses an optimized Querying of the semantically represented data using SPARQL query language. The optimization of the queries is done with the Modified shuffled frog leaping algorithm(MSFL). This helps in treatment of cancer patients in an easy way.

scholarly journals An Ontology Based Expert System for Lung Cancer : OBESLC

2019 ◽  
Vol 9 (2) ◽  
pp. 4622-4626
Keyword(s):  
Lung Cancer ◽  
Expert System ◽  
Semantic Web ◽  
Query Language ◽  
Cancer Society ◽  
Cancer Disease ◽  
Recurrent Cancer ◽  
Lung Cancer Diagnosis ◽  
Description Framework ◽  
Machine Readable

Lung Cancer is the second most recurrent cancer in both men and women and which is the leading cause of cancer death worldwide. The American cancer Society (ACS) in US estimates nearly 228,150 new cases of lung cancer and 142,670 deaths from lung cancer for the year 2019. This paper proposes to build an ontology based expert system to diagnose Lung Cancer Disease and to identify the stage of Lung Cancer. Ontology is defined as a specification of conceptualization and describes knowledge about any domain in the form of concepts and relationships among them. It is a framework for representing shareable and reusable knowledge across a domain. The advantage of using ontology for knowledge representation of a particular domain is they are machine readable. We designed a System named OBESLC (Ontology Based Expert System for Lung Cancer) for lung cancer diagnosis, in that to construct an ontology we make use of Ontology Web Language (OWL) and Resource Description Framework (RDF) .The design of this system depends on knowledge about patient’s symptoms and the state of lung nodules to build knowledge base of Lung Cancer Disease. We verified our ontology OBESLC by querying it using SPARQL query language, a popular query language for extracting required information from Semantic web. We validate our ontology by developing reasoning rules using semantic Web Rule Language (SWRL).To provide the user interface, we implemented our approach in java using Jena API and Eclipse Editor.

scholarly journals Ontologies-based architecture for sociocultural knowledge co-construction systems

2018 ◽  
Vol 6 (1) ◽  
pp. 226-239
Author(s):  
Guidedi Kaladzavi ◽  
Papa Fary Diallo ◽  
Cedric Bere ◽  
Olivier Corby ◽  
Isabelle Minrel ◽  
...  
Keyword(s):  
Query Language ◽  
Interface Layer ◽  
Data Format ◽  
Persistence Layer ◽  
Semantic Data ◽  
Semantic Wiki ◽  
Natural Data ◽  
Description Framework ◽  
Resource Description ◽  
Semantic Layer

Considering the evolution of the semantic wiki engine on-based platforms, two main approaches could be distinguished: Ontologies for Wikis (OfW) and Wikis for Ontologies (WfO). OfW vision requires the existing ontologies to be imported. Most of them use the Resource Description Framework (RDF-based) systems in conjunction with the standard Structured Query Language (SQL) database to manage and query semantic data. But, relational database is not an ideal type of storage for semantic data. A more natural data model for Semantic MediaWiki (SMW) is RDF, a data format that organizes information in graphs rather than in fixed database tables. This paper presents an ontology on-based architecture, which aims to implement this idea. The Architecture mainly includes three-layered functional architecture: Web User Interface Layer, Semantic Layer, and Persistence Layer.

scholarly journals DIGITAL WORKFLOWS FOR A 3D SEMANTIC REPRESENTATION OF AN ANCIENT MINING LANDSCAPE

2017 ◽  
Vol XLII-2/W5 ◽  
pp. 355-359
Author(s):  
G. Hiebel ◽  
K. Hanke
Keyword(s):  
Bronze Age ◽  
Cultural Landscape ◽  
Query Language ◽  
3D Visualization ◽  
Semantic Representation ◽  
Formal Representation ◽  
Semantic Web Technologies ◽  
Triple Store ◽  
Description Framework ◽  
Elevation Model

The ancient mining landscape of Schwaz/Brixlegg in the Tyrol, Austria witnessed mining from prehistoric times to modern times creating a first order cultural landscape when it comes to one of the most important inventions in human history: the production of metal. In 1991 a part of this landscape was lost due to an enormous landslide that reshaped part of the mountain. With our work we want to propose a digital workflow to create a 3D semantic representation of this ancient mining landscape with its mining structures to preserve it for posterity. First, we define a conceptual model to integrate the data. It is based on the CIDOC CRM ontology and CRMgeo for geometric data. To transform our information sources to a formal representation of the classes and properties of the ontology we applied semantic web technologies and created a knowledge graph in RDF (Resource Description Framework). Through the CRMgeo extension coordinate information of mining features can be integrated into the RDF graph and thus related to the detailed digital elevation model that may be visualized together with the mining structures using Geoinformation systems or 3D visualization tools. The RDF network of the triple store can be queried using the SPARQL query language. We created a snapshot of mining, settlement and burial sites in the Bronze Age. The results of the query were loaded into a Geoinformation system and a visualization of known bronze age sites related to mining, settlement and burial activities was created.

scholarly journals A cooperated shuffled frog-leaping algorithm for distributed energy-efficient hybrid flow shop scheduling with fuzzy processing time

2021 ◽  
Author(s):  
Jingcao Cai ◽  
Deming Lei
Keyword(s):  
Energy Efficient ◽  
Flow Shop ◽  
Flow Shop Scheduling ◽  
Hybrid Flow Shop ◽  
Distributed Energy ◽  
Shuffled Frog Leaping Algorithm ◽  
Shop Scheduling ◽  
Fuzzy Processing Time ◽  
Hybrid Flow Shop Scheduling ◽  
Shuffled Frog Leaping

AbstractDistributed hybrid flow shop scheduling problem (DHFSP) has attracted some attention; however, DHFSP with uncertainty and energy-related element is seldom studied. In this paper, distributed energy-efficient hybrid flow shop scheduling problem (DEHFSP) with fuzzy processing time is considered and a cooperated shuffled frog-leaping algorithm (CSFLA) is presented to optimize fuzzy makespan, total agreement index and fuzzy total energy consumption simultaneously. Iterated greedy, variable neighborhood search and global search are designed using problem-related features; memeplex evaluation based on three quality indices is presented, an effective cooperation process between the best memeplex and the worst memeplex is developed according to evaluation results and performed by exchanging search times and search ability, and an adaptive population shuffling is adopted to improve search efficiency. Extensive experiments are conducted and the computational results validate that CSFLA has promising advantages on solving the considered DEHFSP.

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