Knowledge-Oriented Tool Complex Processing Databases of Scientific Publications

Introduction. Nowadays, numerous applications and tools are known that implement information retrieval technologies in various text sources in accordance with specified parameters. Moreover, the search results are provided to the user for each search parameter individually and not related to each other. And the application of Semantic Web technologies for the purpose of multi-parameter and related information retrieval in various sources in Ukraine is at the initial stage of development. A separate problem is the multimedia presentation of search results and their comparison with the conceptual structure of the domain of interest (Knowledge Domain) with the goal of extracting new knowledge. From this point of view, it is relevant for scientific research to process the scientific publications of one author, authors of a scientific unit and the academic institute as a whole, using the Semantic Web technologies, multimedia presentation of information, and effective support for the process of extracting new knowledge. Purpose. Designing the architecture and functioning algorithms of the instrumental complex for processing databases of scientific publications, as well as developing examples of using a formal description of a scientific article with a number of queries. Methods. The methods and models used in this work are based on Semantic Web information technologies focused on the development and use of subject ontologies. Ontologies are the basic components of these technologies both for conducting scientific research and creating large databases, including scientific publications of the authors. Results. The architecture of the instrumental complex for processing databases of scientific publications and the algorithms for its functioning at the preparatory and main stages have been developed. Examples of queries to the database of scientific publications that demonstrate the performance of IR are given. Conclusion. The article discusses the architecture of the instrumental complex for processing databases of scientific publications and the algorithms for its functioning at the preparatory and main stages. The steps of the preparatory phase, which are implemented by the knowledge engineer, are examined in detail. At the same time, the creation of two ontology models of the scientific article with the presentation of the corresponding ontographs was highlighted: the CRF-model describes the concepts contained in the article, and the OWL-model describes the structural components of the article. In conclusion, examples of queries to the databases of scientific publications are presented, demonstrating the performance of the instrumental complex. Further, it is necessary to expand the use in the development of IR technologies, such as cognitive semantics and graphics, multimedia presentation of information, focused on the effective support of the processes of extraction and/or generation of new knowledge.

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Semantic / Fuzzy Information Retrieval System

International Journal of Information Technology and Web Engineering ◽

10.4018/ijitwe.2017010103 ◽

2017 ◽

Vol 12 (1) ◽

pp. 37-56

Author(s):

Mounira Chkiwa ◽

Anis Jedidi ◽

Faiez Gargouri

Keyword(s):

Fuzzy Logic ◽

Information Retrieval ◽

Semantic Web ◽

Retrieval System ◽

Information Retrieval System ◽

Retrieval Process ◽

Fuzzy Information ◽

Semantic Web Technologies ◽

Web Technologies ◽

Fuzzy Information Retrieval

In this paper, the authors present an overall description of their information retrieval system which makes a practical collaboration between Semantic Web and Fuzzy logic in order to have profit from their advantages in the information retrieval domain. Their system is dedicated for kids, for this reason the semantic/fuzzy collaboration materialized must be in the background of the information retrieval process because such category of users cannot certainly control semantic web technologies neither fuzzy logic commands. In this paper, the authors present the different services proposed by their system and how they use Semantic Web and Fuzzy logic to develop it. Evaluation tests of the system using universal measures show clearly its efficiency.

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Semantic/Fuzzy Information Retrieval System

Information Retrieval and Management ◽

10.4018/978-1-5225-5191-1.ch044 ◽

2018 ◽

pp. 1030-1050

Author(s):

Mounira Chkiwa ◽

Anis Jedidi ◽

Faiez Gargouri

Keyword(s):

Fuzzy Logic ◽

Information Retrieval ◽

Semantic Web ◽

Retrieval System ◽

Information Retrieval System ◽

Retrieval Process ◽

Fuzzy Information ◽

Semantic Web Technologies ◽

Web Technologies ◽

Fuzzy Information Retrieval

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A Semiotic-Based Approach for Search in Social Network Services

Web Portal Design, Implementation, Integration, and Optimization ◽

10.4018/978-1-4666-2779-6.ch012 ◽

2012 ◽

pp. 137-151

Author(s):

Júlio C. dos Reis ◽

Rodrigo Bonacin ◽

M. Cecília C. Baranauskas

Keyword(s):

Social Network ◽

Semantic Web ◽

Network Services ◽

Semantic Web Technologies ◽

Web Technologies ◽

Search Results ◽

Search Mechanism ◽

Common Interests ◽

Social Network Services ◽

Organizational Semiotics

Search mechanisms in Social Network Services (SNSs) should take into account the meanings created, shared, and used by people through the use of the system. This paper investigates a new approach to develop search mechanisms more adequate for SNSs. SNSs represent an opportunity for people access to information in the Web. These systems allow individuals to constitute communities of common interests with wide cultural diversity, sharing information and vocabularies. The search mechanism proposed in this paper is grounded in Semantic Web technologies combined and articulated with Organizational Semiotics methods and artifacts. The authors illustrate a process to create the ontology and techniques to improve semantic search results in SNSs using Semantic Web Rule Language. The paper discusses the practical and technological results that could be achieved using the proposed approach.

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Application of Semantic Web Technologies for creating Linked Open Data in Information Retrieval

Library Herald ◽

10.5958/0976-2469.2018.00006.4 ◽

2018 ◽

Vol 56 (1) ◽

pp. 55

Author(s):

Nirupama R. Warrier ◽

J Shivarama

Keyword(s):

Information Retrieval ◽

Semantic Web ◽

Open Data ◽

Linked Open Data ◽

Semantic Web Technologies ◽

Web Technologies

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Linked Data Tools

10.32920/ryerson.14668911.v1 ◽

2021 ◽

Author(s):

Gillian Byrne ◽

Lisa Goddard

Keyword(s):

Semantic Web ◽

Linked Data ◽

The State ◽

The Internet ◽

Semantic Technologies ◽

Semantic Web Technologies ◽

Web Technologies ◽

Distributed Reasoning ◽

New Knowledge ◽

Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure to determine whether semantic technologies are sufficiently mature for non–expert use, and to identify some of the obstacles to global Linked Data implementation.

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Building Integrative Enterprise Knowledge Portals with Semantic Web Technologies

Intelligent Learning Infrastructure for Knowledge Intensive Organizations ◽

10.4018/978-1-59140-503-0.ch006 ◽

2005 ◽

pp. 146-188 ◽

Cited By ~ 1

Author(s):

Torsten Priebe

Keyword(s):

Information Retrieval ◽

Semantic Web ◽

State Of The Art ◽

Content Management ◽

The State ◽

The Internet ◽

Semantic Web Technologies ◽

Research Results ◽

Web Technologies ◽

Integration Approach

The goal of this chapter is to show how Semantic Web technologies can help build integrative enterprise knowledge portals. Three main areas are identified: content management and metadata, global searching, and the integration of external content and applications. For these three areas the state-of-the-art as well as current research results are discussed. In particular, a metadata-based information retrieval and a context-based port let integration approach are presented. These have been implemented in a research prototype which is introduced in the Internet session at the end of the chapter.

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Semantic Web Technologies in the Recruitmant Domain

Competencies in Organizational E-Learning ◽

10.4018/978-1-59904-343-2.ch014 ◽

2007 ◽

pp. 299-318 ◽

Cited By ~ 1

Author(s):

Ralf Heese ◽

Malgorzata Mochol ◽

Radoslaw Oldakowski

Keyword(s):

Semantic Web ◽

Human Resource ◽

Search Engines ◽

Matching Function ◽

Job Seekers ◽

Recruitment Process ◽

Semantic Web Technologies ◽

Web Technologies ◽

Search Results ◽

Job Offers

Due to the large number of job offers published online it is almost impossible for job seekers and job portals to gain an overview of the entire employment market. Since job offers lack semantically meaningful annotations, their location and integration into databases is extremely difficult. In this paper, we demonstrate how the application of Semantic Web technologies, can enable unambiguous identification of concepts and relationships between concepts, to the e-recruitment process provides advantages for all participants in the market. When comparing job and applicant profiles, this abovementioned identification through the use of a dedicated matching function is a key element for increasing the precision of search results provided by search engines. Furthermore, it allows for automating and supporting recruitment processes. In this chapter, we present an application scenario and our prototypical implementation discussing the construction of a human resource ontology for annotating job offers and job applications and our matching function.

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Linked Data Tools

10.32920/ryerson.14668911 ◽

2021 ◽

Author(s):

Gillian Byrne ◽

Lisa Goddard

Keyword(s):

Semantic Web ◽

Linked Data ◽

The State ◽

The Internet ◽

Semantic Technologies ◽

Semantic Web Technologies ◽

Web Technologies ◽

Distributed Reasoning ◽

New Knowledge ◽

Immense Potential

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Linked Data tools: Semantic Web for the masses

First Monday ◽

10.5210/fm.v15i11.3120 ◽

2010 ◽

Cited By ~ 2

Author(s):

Lisa Goddard ◽

Gillian Byrne

Keyword(s):

Semantic Web ◽

Linked Data ◽

The Internet ◽

Semantic Technologies ◽

Semantic Web Technologies ◽

Web Technologies ◽

Distributed Reasoning ◽

New Knowledge ◽

The Masses ◽

Immense Potential

Semantic Web technologies have immense potential to transform the Internet into a distributed reasoning machine that will not only execute extremely precise searches, but will also have the ability to analyze the data it finds to create new knowledge. This paper examines the state of Semantic Web (also known as Linked Data) tools and infrastructure, to determine whether semantic technologies are sufficiently mature for non-expert use, and to identify some of the obstacles to global Linked Data implementation.

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