scholarly journals Semantic Query Language for Temporal Genealogical Trees

2019 ◽  
pp. 94-109
Author(s):  
Evgeniy Gryaznov ◽  
Manuel Mazzara
Keyword(s):  
Query Language ◽  
Semantic Query ◽  
Genealogical Trees

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.

scholarly journals UN MODELO ONTOLÓGICO PARA AYUDAR AL RECONOCIMIENTO DE MINERALES

2017 ◽  
Vol 26 (2) ◽  
pp. 81
Author(s):  
Jimmy Rosales H ◽  
Carlos Rojas L ◽  
Fabricio Mansilla P. ◽  
Joseps Andrade Ch. ◽  
José Castillo S.
Keyword(s):  
Semantic Web ◽  
Query Language ◽  
Semantic Query ◽  
Construction Methods ◽  
Web Tools ◽  
Palabras Clave ◽  
The Future ◽  
Ontological Model

El presente trabajo, está enfocado en el desarrollo de un modelo Ontológico para ayudar al reconocimiento de minerales sulfurados. Dicha Ontología se implementará siguiendo los métodos de construcción recomendados. Las diversas propiedades de los minerales al estar almacenada en Ontologías se pueden extraer mediante el uso del lenguaje de consultas semántico. Finalmente, dicho modelo Ontológico diseñado se puede usar en el futuro para la implementación de un portal construido con las herramientas de la Web Semántica, para que las búsquedas de propiedades de los minerales sean más rápidas y precisas.. Palabras clave.-Web Semántica, Ontologías, Reconocimiento de minerales . ABSTRACTThe present work is focused on the development of an Ontological model to help the recognition of sulfuric minerals. This ontology will be implemented following the recommended construction methods. The diverse properties of the minerals to be stored in Ontologies can be extracted by means of the semantic query language. Finally, this ontological model can be used in the future for the implementation of a portal built with Semantic Web tools, so that mineral property searches are faster and more accurate. Keywords.-Semantic Web, Ontologies, Mineral Recognition.

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

2011 ◽  
Vol 2 (3) ◽  
pp. 47-71
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.

scholarly journals RESEARCH ON EXTENSION OF SPARQL ONTOLOGY QUERY LANGUAGE CONSIDERING THE COMPUTATION OF INDOOR SPATIAL RELATIONS

2015 ◽  
Vol XL-4/W5 ◽  
pp. 67-73
Author(s):  
C. Li ◽  
X. Zhu ◽  
W. Guo ◽  
Y. Liu ◽  
H. Huang
Keyword(s):  
Query Language ◽  
Spatial Relations ◽  
Experimental Results ◽  
Semantic Query ◽  
Indoor Space ◽  
Related Information ◽  
Ontology Model ◽  
Space Objects ◽  
Space Semantic

A method suitable for indoor complex semantic query considering the computation of indoor spatial relations is provided According to the characteristics of indoor space. This paper designs ontology model describing the space related information of humans, events and Indoor space objects (e.g. Storey and Room) as well as their relations to meet the indoor semantic query. The ontology concepts are used in IndoorSPARQL query language which extends SPARQL syntax for representing and querying indoor space. And four types specific primitives for indoor query, "Adjacent", "Opposite", "Vertical" and "Contain", are defined as query functions in IndoorSPARQL used to support quantitative spatial computations. Also a method is proposed to analysis the query language. Finally this paper adopts this method to realize indoor semantic query on the study area through constructing the ontology model for the study building. The experimental results show that the method proposed in this paper can effectively support complex indoor space semantic query.

A semantic-syntax model for XML query construction

2017 ◽  
Vol 13 (2) ◽  
pp. 155-172 ◽  
Author(s):  
Keng Hoon Gan ◽  
Keat Keong Phang
Keyword(s):  
Information Needs ◽  
Query Language ◽  
Query Languages ◽  
Target Language ◽  
Lower Percentage ◽  
Content Type ◽  
Semantic Query ◽  
Query Structure ◽  
Information Requests ◽  
Query Model

Purpose When accessing structured contents in XML form, information requests are formulated in the form of special query languages such as NEXI, Xquery, etc. However, it is not easy for end users to compose such information requests using these special queries because of their complexities. Hence, the purpose of this paper is to automate the construction of such queries from common query like keywords or form-based queries. Design/methodology/approach In this paper, the authors address the problem of constructing queries for XML retrieval by proposing a semantic-syntax query model that can be used to construct different types of structured queries. First, a generic query structure known as semantic query structure is designed to store query contents given by user. Then, generation of a target language is carried out by mapping the contents in semantic query structure to query syntax templates stored in knowledge base. Findings Evaluations were carried out based on how well information needs are captured and transformed into a target query language. In summary, the proposed model is able to express information needs specified using query like NEXI. Xquery records a lower percentage because of its language complexity. The authors also achieve satisfactory query construction rate with an example-based method, i.e. 86 per cent (for NEXI IMDB topics) and 87 per cent (NEXI Wiki topics), respectively, compare to benchmark of 78 per cent by Sumita and Iida in language translation. Originality/value The proposed semantic-syntax query model allows flexibility of accommodating new query language by separating the semantic of query from its syntax.

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