=Paper=
{{Paper
|id=Vol-2543/rpaper21
|storemode=property
|title=The Approach to the Meta-description of the Interdisciplinary Research Terminological Landscape
|pdfUrl=https://ceur-ws.org/Vol-2543/rpaper21.pdf
|volume=Vol-2543
|authors=Olga Kononova,Dmitry Prokudin
|dblpUrl=https://dblp.org/rec/conf/ssi/KononovaP19
}}
==The Approach to the Meta-description of the Interdisciplinary Research Terminological Landscape==
https://ceur-ws.org/Vol-2543/rpaper21.pdf
The Approach to the Meta-description
of the Interdisciplinary Research Terminological
Landscape
O.V. Kononova1[0000-0001-6293-7243] and D.E. Prokudin 1,2[0000-0002-9464-8371]
1 St. Petersburg National Research University of Information Technologies, Mechanics and
Optics (ITMO University), 199034, St. Petersburg, Russia
2 Saint Petersburg State University, Saint Petersburg, 7/11 Universitetskaya Emb., 199034,
Russia
kononolg@yandex.ru, hogben.young@gmail.com
Abstract. The paper is aimed at conducting comprehensive research on
methods and tools for searching and explicating contexts of arrays of
scientific information, visualizing hierarchical and associative relations
between terms considering the context. It presents the findings indicat-
ed that the both, a terminological landscape and a meta-description con-
struction, are necessary and useful for most of the interdisciplinary re-
search, for further contextual knowledge explication but also forecast of
the societal impact of studies. Research has focused on the ontological
approach to the structured description of contextual knowledge and the
scientific interdisciplinary domain thesaurus. There is proposed an on-
tological approach to the structured description of contextual
knowledge, structure, and meta-description of the thesaurus of individ-
ual interdisciplinary are-as as part of the study on the development of
an integrated approach to the analysis of the terminological base of de-
veloping interdisciplinary research. The structure of the thesaurus and
meta-description of its elements are proposed to be formed on the basis
of the Dublin Core Metadata elements (Dublin Core Metadata Element
Set). It allows using the thesaurus for automated search and identifica-
tion of contextual knowledge by search engines. In the applied aspect
the paper considers the method of creation of open-access electronic ar-
chives for the purpose of further replenishment, systematization, and
study of contextual knowledge. Description of contextual knowledge
based on Dublin Core enables to automate the exchange of meta-
descriptions by using the standard OAI-PMH protocol.
Keywords: Contextual Knowledge, Synthetic Method, Thesauri, Meta-
Description, Dublin Core, OAI-PMH.
Copyright © 2020 for this paper by its authors.
Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
235
1 Introduction
The development of interdisciplinary approaches is increasingly necessary for most of
disciplines, both for further knowledge discovery and societal impact of discoveries
[19]. There are many studies in the research of interdisciplinarity. Some of them, such
as Keisuke Okamura, say that interdisciplinarity is statistically significantly and posi-
tively associated with research impact by focusing on highly cited paper clusters
known as the research fronts (RFs) [18] or as Carusi C. and Bianchi G. suggest quan-
tifying interdisciplinarity of journals by exploiting relation between scholars and
journals where such scholars do publish [20]. The others such as, for instance,
Raimbault J. [19] write that patterns of interdisciplinarity in science can be quantified
through diverse complementary dimensions on the base of a methodology combining
citation network analysis and semantic analysis or, for instance, as Giovanni Abramo,
Ciriaco Andrea D’Angelo, Lin Zhang [21] use at the same time two bibliometric ap-
proaches to the measurement of interdisciplinary research: the analysis of disciplinary
diversity in the reference list of publications; the disciplinary diversity of authors of
publications. To analyze trends and contexts of scientific studies in sphere of gamifi-
cation the researchers Jonna Koivisto, Juho Hamari [22] have used exclusively the
expert research method without the application of automation of the analyze process
itself or any information systems.
The aim of the study conducted by the authors is the development of science-
research technologies for extracting, processing and analyzing contextual knowledge
from information sources of various nature ensuring the effectiveness of scientific
research. One of the main tasks is to develop specialized thesauruses of the latest
interdisciplinary scientific research in the digital economy area: e-government and
smart technologies; socio-ethical aspects of the digital economy – gamification in the
social, scientific and educational fields; informatization of scientific activity.
As the main approach to the study for the terminological base formation, the au-
thors’ technique (Synthetic Method) of automated extraction and explication of con-
textual knowledge using a hybrid query to analyze and explicate contexts from infor-
mation resources of text modality [4, 15] is used. The method involves the extraction,
expert evaluation, and interpretation of contextual knowledge from a large massive of
text resources. Expected results of the Synthetic Method applying are supposed to
examine the structures and functions of knowledge in interdisciplinary research deep-
er, as well as to use the contextual framework for interpreting scientific texts, algo-
rithm development, software intelligent search, and artificial intelligence. The Syn-
thetic Method uses the combination of cascading search (the results of one query are
automatically included in the search image of another query) and thesaurus search
(automatically expansion of the cultural contexts during the query), the combinations
of multi-layer thematic paragraph-oriented (with a layers’ variation) and frequency-
oriented queries. The method is aimed at clustering and statistical processing of scien-
tific text, allows creating collections of thematically relevant contexts, correlating the
obtained contexts with knowledge areas, as well as identifying contexts of the use of
some term-concepts and keywords.
236
Contextual knowledge in the study is considered as a form of interpretation of texts
and their contexts obtained because of search queries and explication of their mean-
ings with contextual search technologies and tools. Information resources from scien-
tific sources, as well as socio-political discourse publications reflected the main trends
in social development are used.
Using the Synthetic Method, the following steps have been sequentially realized:
─ the selection of digital information resources for further text extraction and con-
texts’ explication (scientific and socio-political discourses);
─ the identification of the basic term-concepts of the studied subject domains;
─ the added search based on the identified term-concepts in the texts from selected
digital information resources;
─ the formations of the text corpuses, which are relevant to the research topics with
the expert evaluation method;
─ the construction and description of the thesauruses of the interdisciplinary scien-
tific domains;
─ the integration of the results supported with recommendations on the interpretation
and use.
In order to evaluate the dynamics of research interest to the Digital Economy subject
domain in such aspects as e-Governance, Smart City, Gamification Technology, the
study proposes a review of the corpus of Russian and foreign scientific publications,
as well as media publications. Analysis of the terminological landscape of scientific
publications and media allows the following:
─ to highlight promising proposals and practices on gamification using in the devel-
opment of the city information space;
─ to form a terminological base and thesaurus of the interdisciplinary scientific direc-
tion “Social and ethical aspects of the Digital Economy: gamification in the social,
scientific and educational subject domains”;
─ to compare Russian and Global trends of gamification using in the development of
the modern urban information environment;
─ to focus the attention of researchers on a number of scientifically significant re-
sults;
─ to identify the development trajectories of promising scientific areas.
At this stage of the research, the thesauruses of the terminological base (as one of
the forms of presenting contextual knowledge and as a formal set of the identified
contexts’ descriptions) of the interdisciplinary scientific areas “The Digital Economy:
Electronic Government and Smart Technologies” and “Socio-ethical aspects of the
digital economy: gamification in the social, scientific and educational fields” are
ready. The task of creating a structured description of the contextual knowledge,
structure and meta-description of the domain terminology base has required consider-
ation of various approaches to the thesaurus description.
237
2 Approaches to a Structured Description of Contextual
Knowledge
The process of sequential explication of contextual knowledge to identify the termino-
logical base of the studied interdisciplinary scientific areas has led to the refinement
of the concept of contextual knowledge, as well as the creation of the typology of
contexts of text modality. The choice of the ontological approach for solving the
problem of a structured description of contextual knowledge, a structure and a meta-
description of the terminological base thesaurus of interdisciplinary scientific domains
was the logical result of the analysis of modern concepts and approaches to the
presentation of ontologies and their use in practice.
There are various approaches for defining both the term ontology itself and the
classification of ontologies. According to Y. Lipuntsov [6], depending on the goals
and the nature of the applications in which they are used, various strategies for struc-
turing knowledge and presenting information can be applied. One of the most popular
solutions for representing thesaurus as ontology is the WordNet project [10, 16]. It is
used to build large-scale thesauruses, for instance, the Russian language as a whole
(RussNet project, http://project.phil.spbu.ru/RussNet). Moreover, similar resources
are often used in order to create individual dictionaries, lists of key words and expres-
sions for the solving scientific particular problems [7]. To view and edit WordNet-
thesauruses saved in XML format, the freeware VisDic program
(http://nlp.fi.muni.cz/projekty/visdic/) has been developed.
The format of the thesaurus description depends on the standard used. Each of the
existed standards offers its own way of representing the thesaurus, but always as finite
lists of the objects of several determined types and relations among them (ISO
27881986, ISO 27881986, ANSI/NISO Z39.191993, GOST 7.25-2001, GOST 7.24-
2007). Some standards regulate the presentation format of the thesaurus in both ma-
chine-readable and textual forms (for example, ANSI/NISO Z39.191993). For exam-
ple, GOST 7.25-2001 establishes the rules for its development, structure, composition
and form of presentation", for instance, establishes the development rules, structure,
composition and presentation form of information thesauruses focused on the use of
Russian vocabulary and developed in the framework of automated information sys-
tems and networks of scientific and technical information [2].
There are various approaches to describe the thesaurus in relation to its use in in-
formation systems. A sufficiently detailed review of such approaches was made by
M. Kh. Nguyen and A. S. Adzhiev [8]. All approaches considered by these authors
are based on the final implementation of the thesaurus as a linguistic system. In the
framework of our study, linguistic approaches and methods to the thesaurus formation
are not directly used.
The authors consider the ontology as a system consisting of term-concepts (without
their definitions), their attributes, and the relations which are necessary, according to
Y. Lipuntsov [6], to limit the interpretation and use of term-concepts. The scientific
thesaurus is presented in the study as a list of term concepts selected from a corpus of
text documents that are relevant to the interdisciplinary research domains. The list of
term-concepts is able to reflect the conceptual aspects of the subject area through a
238
structured description of the elements. Thereby, the thesaurus of the interdisciplinary
research domains is an ontology with the thesaurus semantic that defines the relation-
ship between term-concepts (synonymy, hierarchy, association) and the attributes,
which are characteristic for conceptual schemes. The composition of the attributes
and the relationships between the term-concepts are not fixed; they are determined by
developers and depend on the construction purpose. Such an interpretation of the
thesaurus of the interdisciplinary research domains allows representing the internal
organization of each separate topic of every domain and use the thesaurus in the solv-
ing tasks such as scientific search and so as explication of contexts. For a formal
presentation of the terminological base of an interdisciplinary scientific research do-
main, it is sufficient to use simple relations between the basic terms (key term-
concepts) and related terms (relative term-concepts) identified through the explication
of contextual knowledge, as well as the synonymy relations. In addition, the structure
of the thesaurus description takes into account, besides the main subject area, the
presence of the other areas (subdomains) involved in the formation of interdiscipli-
nary scientific research domains.
3 Thesaurus Meta Description
An ontological approach was used to describe the structure of the domain thesaurus,
which, in addition to defining relationships among term-concepts, involves the se-
mantic expanding that defined relations of synonymy, hierarchical, and association. In
the framework of the approach, when ontology is interpreted as a system consisting of
plurality of concepts (classes and subclasses defined by key supportive and relative
term-concepts), their attributes and relations (connections), the authors describe the
thesaurus of the interdisciplinary scientific research domains using the list of key
term-concepts derived from scientific papers and media documents in accordance
with advanced search queries which include a list of subject areas. Descriptions of
key term-concepts and contexts of their use define the content of scientific discourses
of the subject domain. This approach allows determining the relation between subject
domains, key term-concepts, as well as related term-concepts. At the same time, the
application of the synthetic method, which involves the phased explication of contex-
tual knowledge from the relevant arrays of information resources and bases on the
results of frequency-oriented queries, has been allowed ranking the significance of the
term-concepts even at the stage of thesaurus formation.
To describe the structure of the thesaurus and its terms, a set of 14 Dublin Core
Metadata Element Set (DCMES) metadata elements was taken [3]. The combination
of values of these elements was used as a structured description of thesaurus elements
that correlated with the general approach of using this specification to text infor-
mation resources [1, 11–14, 17]. This approach enables us to present the thesaurus in
a form suitable for computer representation and for automated search and identifica-
tion by search engines.
239
In the proposed approach, the thesaurus element is a key term-concept and has the-
saurus type of context. The meta-description of each term-concept consists of the
following Dublin Core metadata set:
dc.title – name of the term-concept;
dc.subject – subject area(s) (for instance, according to the classifier GRNTI);
dc.description – description of the term concept sources;
dc.contributor – author(s) (used if available);
dc.date – a date when the term concept was included in the thesaurus;
dc. modified – date of the last modification (modification) of the thesaurus ele-
ment;
dc.type – type of term-concept or connection (key term-concept, relative term-
concept, synonym, others);
dc.format – term-concept representation format;
dc.identifier – identifier of the term-concept (for instance, a link on the term-
concept description on the network resource);
dc.source – name of the thesaurus;
dc.coverage – to establish the relationship of association, hierarchy or synonymy
between the described key term-concept and relative term-concepts (a set of elemen-
tary pairs “key term-concept – relative term-concept”; the number of pairs is unlim-
ited). If “synonym” is indicated in the dc.type field, then this field defines the synon-
ymy relationship in a pair of term-concepts;
dc.relation – related elements, which, for instance, may include links to files or
links to third-party resources.
In the framework of the study, the elementary pair “key term-concept – relative
term-concept” is a thematic context built by analytical IS. One thesaurus record con-
tains one or more of these pairs generated as a result of a number of relative frequen-
cy queries and in accordance with the obtained frequency values.
Based on the technique of applying the automated extraction and explication of
contextual knowledge using a hybrid query, the thesaurus of the categorical and ter-
minological base of the interdisciplinary scientific domain “Digital Economics: e-
government and smart technologies” included 50 term-concepts. There were four
semantic groups identified in the study: “Power”, “Subjects of Relations”, “Function-
al Areas“, "Technologies.” For their structured description, the proposed approach has
been applied. The results are reflected in the following examples:
Example 1. The term-concept "e-government"
dc.type: key term-concept
dc.title: e-government
dc.subject: public administration
dc.description: the term is obtained as a result of a cascade query on an array of
relevant texts of articles from Russian scientific journals for the requests “digital
economy” (2016, 2017) and “digital technologies” (2011, 2017, 2018, eLibrary);
corps of texts from the Federal and Regional press at the request of the digital econo-
my (2017, Integrum).
dc.date: 11/05/2018
240
dc.source: digital economy: e-government and smart technologies
dc.language: russian
dc.type: relative term-concept
dc.coverage: digital economy
dc.coverage: digital technology
dc.coverage: information technology
dc.coverage: public administration
dc.coverage: smart technology
Example 2. The term-concept "digital technology"
dc.type: key term-concept
dc.title: digital technology
dc.subject: public administration
dc.description: the term is derived from a relative frequency query on an array of
relevant contexts formed from body of texts of articles from Russian-language scien-
tific journals for the requests “digital economy” (2016, 2017) and “digital technolo-
gies” (2011, 2017, 2018 gg) obtained from the Scientific Electronic Library; cases of
texts from the federal and regional press on the request “digital economy” (2017),
received from the Integrum electronic system
dc.date: 11/05/2018
dc.source: digital economy: e-government and smart technologies
dc.language: russian
dc.type: relative term-concept
dc.type: synonym
dc.coverage: information technology
4 Systems for Presentation of a Structured Description
of Thesaurus Elements
In the applied aspect, taking into account the capabilities of the synthetic method, it
has been proposed to create electronic archives of open access for the accumulation
and systematization of contextual knowledge. Electronic archives can serve for the
further replenishment, systematization, and study of contextual knowledge both with-
in the framework of this project and for research purposes of the entire scientific
community. Open access to the description of the thesauruses, a type of contextual
knowledge based on the Dublin Core standard, provides:
─ computer representation of contextual knowledge in information systems;
─ ability to translate contextual knowledge into other presentation formats (for in-
stance, XML with subsequent export to formats of other systems [9].)
To solve the problem of computer representation of the thesaurus, various software
platforms implemented with the Dublin Core standard have been considered. First of
all, those kinds of software enable to create electronic archives of open access. They
include such popular solutions as DSpace (https://duraspace.org/dspace/), Eprints
241
(https://www.eprints.org/uk/), Fedora (https://duraspace.org/fedora/), VIVO
(https://duraspace.org/vivo/), INVENIO (https://invenio-software.org) and some oth-
ers (http://www.openarchives.org/pmh/tools/). The most popular ones are the DSpace
and Eprints platforms, on which the vast majority of institutional repositories operate
(including Russia) [5]. In addition to the standard implementing for metadata presen-
tation with a set of Dublin Core elements, these solutions have the ability to automati-
cally exchange metadata using the standard OAI-PMH protocol that allows gathering
the metadata collections from installations of various systems, their further accumula-
tion (aggregation), and applying in search tasks.
However, the installation and configuration of these systems require working with
the operating system, and it is necessary for this to install additional software. There-
fore, with experimental purposes, the open-source software Open Journal Systems
(OJS, https://pkp.sfu.ca/ojs/), which is a complete publishing cycle platform for pub-
lishing electronic journals, has been chosen as a palliative solution. This system is
easier to install and configure, and it is able to work on most shared hosting. Moreo-
ver, OJS supports the Dublin Core metadata presentation format and acts as an OAI-
PMH provider. With experimental purposes, descriptions of several term-concepts
obtained during the study were introduced into the OJS installation. To verify the
correct display of metadata, we have used the installation of the Open Harvester Sys-
tems (OHS, https://pkp.sfu.ca/ohs/), which acts as a server using the OAI-PMH proto-
col. OHS is configured to aggregate metadata from any information resources that
play the role of providers. An example of the presentation of metadata is shown in
Figure 1.
242
Fig. 1. Description of the Dublin Core term obtained from the OHS aggregator
5 Computer-Readable Thesaurus Presentation Model
The proposed approach to a structured meta-description of the thesaurus lets us use
various information systems supported the Dublin Core metadata format and the OAI-
PMH automated metadata exchange protocol. This makes it possible to create and
maintain a platform-independent research network, in which any research group can
create its own thesaurus either in the existing system or use some own installation. At
the same time, with research purposes, it can be possible to use both existing and own
aggregators (collectors) of metadata from various systems in which thesauruses or
sets of terms are presented (Fig. 2).
243
Fig. 2. Model of collective interaction in a distributed environment
Using the metadata aggregator allows not only to consolidate the descriptions of
terms from distributed thesauruses, but also the metadata of publications which were
presented in various electronic network resources (repositories, electronic journals,
electronic libraries, etc.). It makes it possible
─ present in one information space both a terminological base and descriptions of
texts;
─ search texts which are relevant to certain term-concepts;
─ clarify the conceptual apparatus of scientific areas by analyzing the metadata of the
selected texts directly.
At the same time, thematic metadata collections can install in the aggregator settings,
thereby limiting the subject of aggregated texts and increasing the relevance of arrays
of aggregated texts to the studied thesaurus. The approach was implemented during
the construction of the thesauruses "The Digital Economy: Electronic Government
and Smart Technologies” and “Socio-ethical aspects of the digital economy: gamifi-
cation in the social, scientific and educational fields” based on OJS
(http://ojs.iculture.spb.ru) and an aggregator based on OHS
244
(http://ohs.iculture.spb.ru). In addition to the thesaurus, metadata from 30 Russian-
language open repositories were aggregated.
6 Conclusions
The proposed methodology for studying contextual knowledge makes it possible to
sequentially extract contexts and thereby identify and form the terminological base of
interdisciplinary scientific domains. The terminological base of interdisciplinary sci-
entific domains will be replenished with new contexts and refined after processing the
results of the further hybrid requests. The proposed Dublin Core-based contextual
knowledge description format will provide:
─ the construction of distributed replenished formal thesauruses using standard freely
distributed software;
─ the use of thesauruses and its elements for automated search and identification of
contextual knowledge by search engines;
─ archiving and open access to contextual knowledge;
─ the possibility of automated exchange using the OAI-PMH protocol for aggrega-
tion of meta-descriptions of thesauruses in systems acting as OAI-PMH servers.
Further research suggests:
─ to build formal thesauruses based on the Dublin Core specification, reflecting the
results of the study;
─ to provide open access to the thesauruses of interdisciplinary research areas;
─ to systematize and classify software for processing contextual knowledge, develop
their presentation and description based on the Dublin Core specification, and
compile an accessible machine-readable catalog of these systems.
7 Acknowledgement
The reported study is funded by RFBR according to the research project “The inte-
grated approach elaboration to the analysis of the terminological base of the develop-
ing interdisciplinary research in distributed network environment” Nos. 18-011-
00923, 2018-2020.
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