A Dynamic Form-Based Data Visualiser for Semantic Query Languages

1995 ◽  
pp. 249-265
Author(s):  
Giuseppe Santucci ◽  
Francesco Palmisano
Keyword(s):  
Query Languages ◽  
Semantic Query ◽  
Dynamic Form

A Semantic Web-Based Approach for Building Personalized News Services

2011 ◽  
pp. 503-521
Author(s):  
Flavius Frasincar ◽  
Jethro Borsje ◽  
Leonard Levering
Keyword(s):  
Semantic Web ◽  
Language Processing ◽  
Word Sense Disambiguation ◽  
Query Languages ◽  
Word Sense ◽  
Web Based ◽  
Semantic Query ◽  
Web Standards ◽  
Processing Techniques ◽  
News Services

This article proposes Hermes, a Semantic Webbased framework for building personalized news services. It makes use of ontologies for knowledge representation, natural language processing techniques for semantic text analysis, and semantic query languages for specifying wanted information. Hermes is supported by an implementation of the framework, the Hermes News Portal, a tool which allows users to have a personalized online access to news items. The Hermes framework and its associated implementation aim at advancing the state-of-the-art of semantic approaches for personalized news services by employing Semantic Web standards, exploiting domain information, using a word sense disambiguation procedure, and being able to express temporal constraints for the desired news items.

scholarly journals Enabling Ontology Based Semantic Queries in Biomedical Database Systems

2014 ◽  
Vol 08 (01) ◽  
pp. 67-83 ◽  
Author(s):  
Shuai Zheng ◽  
Fusheng Wang ◽  
James Lu
Keyword(s):  
High Efficiency ◽  
Middle Layer ◽  
Database Systems ◽  
Query Languages ◽  
Database Management System ◽  
Performance Study ◽  
Database Query ◽  
Fully Integrated ◽  
Semantic Query ◽  
Ontology Repository

There is a lack of tools to ease the integration and ontology based semantic queries in biomedical databases, which are often annotated with ontology concepts. We aim to provide a middle layer between ontology repositories and semantically annotated databases to support semantic queries directly in the databases with expressive standard database query languages. We have developed a semantic query engine that provides semantic reasoning and query processing, and translates the queries into ontology repository operations on NCBO BioPortal. Semantic operators are implemented in the database as user defined functions extended to the database engine, thus semantic queries can be directly specified in standard database query languages such as SQL and XQuery. The system provides caching management to boosts query performance. The system is highly adaptable to support different ontologies through easy customizations. We have implemented the system DBOntoLink as an open source software, which supports major ontologies hosted at BioPortal. DBOntoLink supports a set of common ontology based semantic operations and have them fully integrated with a database management system IBM DB2. The system has been deployed and evaluated with an existing biomedical database for managing and querying image annotations and markups (AIM). Our performance study demonstrates the high expressiveness of semantic queries and the high efficiency of the queries.

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.

E-Government Systems Development Methodologies, Tools and Platforms

2013 ◽  
pp. 1-20
Author(s):  
Jean Vincent Fonou-Dombeu ◽  
Magda Huisman ◽  
Adegboyega Ojo
Keyword(s):  
Software Engineering ◽  
Semantic Web ◽  
Software Development ◽  
State Of The Art ◽  
Query Languages ◽  
The State ◽  
Semantic Query ◽  
Integration Techniques ◽  
Agile Software Engineering ◽  
Software Development Practices

The analysis of e-government initiatives of various countries shows that the development and deployment of e-government systems for effective online service delivery to citizens remain a key priority in e-government development. On the other hand, given the complex nature of the public administration system with several departments and agencies, thousands of legislations and operating procedures, added to the high number of technologies needed for developing e-government systems, there is a need to learn about the software development practices in e-government. This chapter provides an overview of the methodologies, tools and platforms for software development processes of e-government systems. Firstly, the state-of-the-art software development practices in e-government are reviewed. Secondly, the methodological approaches employed for developing e-government systems including stage of growth models, agile software engineering and Semantic Web techniques are presented and illustrated with real world case studies for their application in e-government projects. Thirdly, the tools and platforms used for the analysis, design, implementation and deployment of e-government systems including traditional software engineering tools and platforms, Semantic Web ontology languages and platforms, database management systems and semantic query languages are analysed and discussed in detail. Finally, the state-of-the-art of e-government systems integration techniques are reviewed and discussed.

Classification of means and methods of the Web semantic retrieval

2017 ◽  
pp. 030-050
Author(s):  
J.V. Rogushina ◽  
Keyword(s):  
Search Engines ◽  
Domain Knowledge ◽  
Information Needs ◽  
Web Search ◽  
User Interaction ◽  
Query Languages ◽  
Semantic Search ◽  
Semantic Retrieval ◽  
The Web

Problems associated with the improve ment of information retrieval for open environment are considered and the need for it’s semantization is grounded. Thecurrent state and prospects of development of semantic search engines that are focused on the Web information resources processing are analysed, the criteria for the classification of such systems are reviewed. In this analysis the significant attention is paid to the semantic search use of ontologies that contain knowledge about the subject area and the search users. The sources of ontological knowledge and methods of their processing for the improvement of the search procedures are considered. Examples of semantic search systems that use structured query languages (eg, SPARQL), lists of keywords and queries in natural language are proposed. Such criteria for the classification of semantic search engines like architecture, coupling, transparency, user context, modification requests, ontology structure, etc. are considered. Different ways of support of semantic and otology based modification of user queries that improve the completeness and accuracy of the search are analyzed. On base of analysis of the properties of existing semantic search engines in terms of these criteria, the areas for further improvement of these systems are selected: the development of metasearch systems, semantic modification of user requests, the determination of an user-acceptable transparency level of the search procedures, flexibility of domain knowledge management tools, increasing productivity and scalability. In addition, the development of means of semantic Web search needs in use of some external knowledge base which contains knowledge about the domain of user information needs, and in providing the users with the ability to independent selection of knowledge that is used in the search process. There is necessary to take into account the history of user interaction with the retrieval system and the search context for personalization of the query results and their ordering in accordance with the user information needs. All these aspects were taken into account in the design and implementation of semantic search engine "MAIPS" that is based on an ontological model of users and resources cooperation into the Web.

Temporalizing Rewritable Query Languages Over Knowledge Bases

2015 ◽  
Author(s):  
Stefan Borgwardt ◽  
Marcel Lippmann ◽  
Veronika Thost
Keyword(s):  
Knowledge Bases ◽  
Query Languages
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