Knowledge Organization in the health field: an ontology project to improve the information retrieval process

2018 ◽  
pp. 330-338
Author(s):  
Cláudio José Silva Ribeiro ◽  
Diones Ramos da Silva
Keyword(s):  
Information Retrieval ◽  
Knowledge Organization ◽  
Retrieval Process ◽  
Health Field

scholarly journals ThManager: An Open Source Tool for Creating and Visualizing SKOS

2007 ◽  
Vol 26 (3) ◽  
pp. 39 ◽  
Author(s):  
Javier Lacasta ◽  
Javier Nogueras-Iso ◽  
Francisco Javier López-Pellicer ◽  
Pedro Rafail Muro-Medrano ◽  
Francisco Javier Zarazaga-Soria
Keyword(s):  
Information Retrieval ◽  
Open Source ◽  
Data Sharing ◽  
Digital Libraries ◽  
Knowledge Organization ◽  
Open Source Tool ◽  
Knowledge Models ◽  
Knowledge Organization Systems ◽  
Interchange Format

Knowledge organization systems denotes formally represented knowledge that is used within the context of digital libraries to improve data sharing and information retrieval. To increase their use, and to reuse them when possible, it is vital to manage them adequately and to provide them in a standard interchange format. Simple knowledge organization systems (SKOS) seem to be the most promising representation for the type of knowledge models used in digital libraries, but there is a lack of tools that are able to properly manage it. This work presents a tool that fills this gap, facilitating their use in different environments and using SKOS as an interchange format.

scholarly journals theoretical investigation about the notion of parts and wholes

2014 ◽  
Vol 8 (1/2) ◽  
Author(s):  
Mauricio Barcellos ALMEIDA ◽  
Renata Abrantes BARACHO
Keyword(s):  
Information Retrieval ◽  
Theoretical Investigation ◽  
Information Science ◽  
Knowledge Organization ◽  
Semantic Relations ◽  
Philosophical Study ◽  
Knowledge Organization Systems ◽  
Science Community ◽  
Issue Knowledge ◽  
The Relationship

Within the realm of Information Science, information retrieval is a seminal issue. Knowledge organization systems are instruments that organize knowledge by connecting concepts through semantic relations for purposes of information retrieval. One of the most important of these semantic relations is the so-called part-whole relation. In this paper, we revisit some peculiarities of part-whole relations that are often overlooked by the Information Science community. In order to do this, we provide a theoretical investigation of two perspectives used to explain the notion of parts and wholes: a formal perspective, which is based on the philosophical study usually called mereology; a non-formal perspective, which is based on the linguistic study about a relation called meronym. We discuss the relationship between these perspectives through the issue of transitivity, which is an important property of part-whole relations for information retrieval. We find that these perspectives, although distinguished, are somehow complementary. The results of our analysis suggest that the choice for either a formal or a non-formal perspective could be based on a pragmatic criterion in the scope of development of knowledge organization systems. We conclude by offering some considerations correlating two main sorts of these systems, namely ontologies and thesauri.

Merging Controlled Vocabularies for More Efficient Subject-Based IR Systems

2013 ◽  
pp. 254-267
Author(s):  
Ioannis Papadakis ◽  
Konstantinos Kyprianos
Keyword(s):  
Information Retrieval ◽  
Digital Library ◽  
Controlled Vocabulary ◽  
Knowledge Organization ◽  
Proof Of Concept ◽  
Controlled Vocabularies ◽  
Common Structure ◽  
Simple Knowledge Organization System ◽  
Knowledge Organization System ◽  
The World

One of the most important tasks of a librarian is the assignment of appropriate subject(s) to a resource within a library’s collection. The subjects usually belong to a controlled vocabulary that is specifically designed for such a task. The most widely adopted controlled vocabulary across libraries around the world is the Library of Congress Subject Headings (LCSH). However, there seems to be a shifting from traditional LCSH to modern thesauri. In this paper, a methodology is proposed, capable of incorporating thesauri into existing LCSH-based Information Retrieval–IR systems. In order to achieve this, a mapping methodology is proposed capable of providing a common structure consisting of terms belonging to LCSH and/or a thesaurus. The structure is modeled as a Simple Knowledge Organization System (SKOS) ontology, which can be employed by appropriate subject-based IR systems. As a proof of concept, the proposed methodology is applied to the DSpace-based University of Piraeus digital library.

Indexing and Abstracting as Tools for Information Retrieval in Digital Libraries

2018 ◽  
pp. 573-595
Author(s):  
Olaronke O. Fagbola
Keyword(s):  
Information Retrieval ◽  
Literature Review ◽  
Digital Libraries ◽  
Information Resource ◽  
Potential User ◽  
Retrieval Process ◽  
Road Signs ◽  
Retrieval Systems ◽  
Knowledge Organisation ◽  
Information Retrieval Systems

Indexing and abstracting are like Siamese twins in the information retrieval process. Indexing and abstracting are the two approaches to distilling information content into an abbreviated, but comprehensive representation of an information resource(s). They are knowledge organisation tools which usually provide detailed and accurate maps and road signs in the information superhighway. Digital libraries are characterised by an electronic stock of information which can be accessed via computers, and are extension and augmentations of physical libraries in digital forms. They are information retrieval systems (a device interposed between a potential user of information and the information itself) which provide opportunities to access and retrieve information that is often accessible for a variety of reasons. This chapter presents a literature review on indexing and abstracting, information retrieval process, digital libraries pointing out the importance of indexing and abstracting in the information retrieving process and then highlighting the roles played by indexing and abstracting as tools for information retrieval in digital libraries. The chapter posits that indexing and abstracting plays a significant role as information retrieval tools in digital libraries.

Semantic / Fuzzy Information Retrieval System

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.

Ontologies in the Health Field

2011 ◽  
pp. 37-56 ◽  
Author(s):  
Michel Simonet ◽  
Radja Messai ◽  
Gayo Diallo
Keyword(s):  
Data Mining ◽  
Information Retrieval ◽  
Semantic Web ◽  
Knowledge Bases ◽  
Health Data ◽  
Efficient Manner ◽  
Common Definition ◽  
Ontology Design ◽  
Definition Of ◽  
Health Field

Health data and knowledge had been structured through medical classifications and taxonomies long before ontologies had acquired their pivot status of the Semantic Web. Although there is no consensus on a common definition of an ontology, it is necessary to understand their main features to be able to use them in a pertinent and efficient manner for data mining purposes. This chapter introduces the basic notions about ontologies, presents a survey of their use in medicine and explores some related issues: knowledge bases, terminology, and information retrieval. It also addresses the issues of ontology design, ontology representation, and the possible interaction between data mining and ontologies.

CONSTRUCTING AN ONTOLOGY-BASED AND GRAPH-BASED KNOWLEDGE REPRESENTATION OF ENGLISH QURAN

2016 ◽  
Vol 78 (8-2) ◽  
Author(s):  
Mohamad Fauzan Noordin ◽  
Tengku Mohd. Tengku Sembok ◽  
Roslina Othman ◽  
Ria Hari Gusmita
Keyword(s):  
Information Retrieval ◽  
Knowledge Representation ◽  
Question Answering ◽  
Graph Database ◽  
Retrieval Process ◽  
Valuable Contribution ◽  
Question Answering System ◽  
Part Of Speech

This paper describes a work in constructing two models of knowledge representation (KR) in aiming to do evaluation of their achievement in contributing to increase performance of retrieving information on English Quran domain. Due to many approaches available to construct a KR in providing data for information retrieval process, there is a need to find out in what model the KR could provide a valuable contribution for retrieving information. We focused on ontology-based KR and graph database-based KR. We use Quranic Arabic corpus that available at http://www.corpus.quran.com as a source to build the KR. We extracted several data from it i.e. English token, token location, and token Part of Speech (POS). Protégé is used to construct the ontology and Neo4j is utilized in developing the graph database. Both KR models will be equipped in developing of an English Quran Question Answering system in order to evaluate their benefit.

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