Browse > Article
http://dx.doi.org/10.1633/JISTaP.2019.7.3.2

Operational Experience in DB "TERMIN"  

Shaburova, Natalya N. (Rzhanov Institute of Semiconductor Physics, Siberian Branch of the Russian Academy of Sciences)
Publication Information
Journal of Information Science Theory and Practice / v.7, no.3, 2019 , pp. 21-30 More about this Journal
Abstract
Information about the formation and filling (in 2014 to 2016) of a terminological dictionary on electronics and radioengineering and collective work (in 2017 to 2018) with a data bank "TERMIN" is presented in this article. In purpose of creating an instrument of navigating the modern scientific-technical space a net of terms with set semantic links is described. This set is based on the analysis of terms' definitions (each term is checked for inclusion in the definitions of all other terms; the definitions were borrowed from reputable reference editions: encyclopedias, dictionaries, reference books). The created model of a system that consists of different information sources, in which it (information) is indexed by the terminology of Russian State Rubricator of Scientific and Technical Information rubrics and/or keywords, is described. There is an access for the search in all these sources in the system. Searching inquiries are referred to in the language of these rubrics or formulated by arbitrary terms. The system is to refer to information sources and give out relevant information. In accordance with this model, semantic links of various types, which allow expanding a search at different modalities of query, should be set among data bank terms. Obtained links will have to increase semantic matching, i.e., they can provide actual understanding of the meaning of the information that is being sought.
Keywords
Universal Decimal Classification; State Rubricator of Scientific and Technical Information; Library-Bibliographic Classification; information retrieval; semantic links; electronics;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Beloozerov, V. N., & Shaburova, N. N. (2016). Comparison of LBC and UDC with the help of thematic meanings of "47 Electronics. Radioengineering" SRSTI rubrics. In P. P. Treskova & O. A. Oganova (Eds.), Information provision of science, new technologies (pp. 175-187). Ekaterinburg: CSL UB RAS.
2 Bol'shakov, I. A., & Gel'bukh, A. F. (2011). A large electronic dictionary as a polythematic guide and shaper of queries to the Web. Retrieved April 10, 2019 from http://www.dialog-21.ru/media/1414/14.pdf.
3 COLI-CONC. (n.d.). coli-conc: Infrastructure to facilitate management and exchange of concordances between library knowledge organization systems. Retrieved April 10, 2019 from https://coli-conc.gbv.de/.
4 Denny, M. (2004). Ontology tools survey, revisited. Retrieved April 10, 2019 from https://www.xml.com/pub/a/2004/07/14/onto.html.
5 Dobrov, B. V., Ivanov, V. V., Lukashevich, N. V., & Solov'ev, V. D. (2009). Ontologies and thesauri: Models, instruments, applications. Moscow: BINOM publ.
6 Furnas, G. W., Landauer, T. K., Gomez, L. M., & Dumais, S. T. (1987). The vocabulary problem in human-system communication. Communications of the ACM, 30(11), 964-971.   DOI
7 Gao, J., He, X., & Nie, J.-Y. (2010). Clickthrough-based translation models for web search: From word models to phrase models. Retrieved April 10, 2019 from https://core.ac.uk/download/pdf/23798617.pdf.
8 Gendina, N. I. (2015). Information retrieval thesauri: Structure, purpose and order of development. Retrieved April 10, 2019 from https://nsu.ru/xmlui/bitstream/handle/nsu/8962/IPT.pdf.
9 Giunchiglia, F., Kharkevich, U., & Zaihrayeu, I. (2009). Concept search. In The Semantic Web: Research and Applications. ESWC 2009 (pp. 429-444). Berlin: Springer-Verlag.
10 Gomez-Pere, A., Fernando-Lopez, M., & Corcho, O. (2004). Ontological engineering. Berlin: Springer-Verlag.
11 GOST 7.25 (2002). System of standards on information, library science and publishing: Information retrieval monolingual thesaurus. Moscow: MTC 191.
12 Guha, R., McCool, R., & Miller, E. (2003). Semantic search. Retrieved April 10, 2019 from http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.120.774&rep=rep1&type=pdf.
13 Huang, J., & Efthimiadis, E. N. (2009). Analyzing and evaluation query reformulation strategies in web-search logs. Retrieved April 10, 2019 from https://jeffhuang.com/Final_Reformulation_CIKM09.pdf.
14 Kalenov, N. Y., & Beloozerov, V. N. (2015). Building up terminological dictionaries based on the vocabulary of classification systems. Scientific and Technical Information Processing, 3, 60-70.
15 Khoo, M., Tudhope, D., Binding, C., Abels, E., Lin, X., & Massam, D. (2012). Towards digital repository interoperability: The Document Indexing and Semantic Tagging Interface for Libraries (DISTIL). In P. Zaphiris, G. Buchanan, E. Rasmussen, & F. Loizides (Eds.), International conference on theory and practice of digital libraries (pp. 439-444). Berlin: Springer-Verlag.
16 Lardera, M., Gnoli, G., Rolandi, C., & Trzmielewski, M. (2017). Developing SciGator, a DDC-based library browsing tool. Knowledge Organization, 44(8), 638-643.   DOI
17 Lee, C.-J., Chen, R.-C., Kao, S.-H., & Cheng, P.-J. (2009). A term dependency-based approach for query terms ranking. Retrieved April 10, 2019 from http://rueycheng.com/paper/term-dependency.pdf.
18 Lin, X., Khoo, M., Ahn, J.-W., Tudhope, D., Binding, C., Massam, D., & Jones, H. (2017). Mapping metadata to DDC classification structures for searching and browsing. International Journal on Digital Libraries, 18(1), 25-39.   DOI
19 W3C. (2004). OWL web ontology language guide: W3C recommendation. Retrieved April 10, 2019 from https://www.w3.org/TR/2004/REC-owl-guide-20040210/.
20 Makela, E. (2008). Survey of semantic search research. Retrieved April 10, 2019 from https://www.researchgate.net/publication/225070162_Survey_of_Semantic_Search_Research.
21 Rubashkin, V. S. (2013). Ontological semantics. Moscow: Fizmatlit.
22 YARN. (n.d.). Thesaurus of Russian language: Yet another RussNet. Retrieved April 10, 2019 from https://russianword.net/.
23 U. S. National Library of Medicine. (n.d.). Unified Medical Language System (UMLS). Retrieved April 10, 2019 from https://www.nlm.nih.gov/research/umls/knowledge_sources/metathesaurus/.
24 Van Gysel, C., de Rijke, M., & Kanoulas, E. (2016). Learning latent vector spaces for product search. Retrieved April 10, 2019 from https://arxiv.org/pdf/1608.07253.pdf.
25 Wei, F., Shuqing, B., & Qing, Z. (2013). Semantic visualization for subject authority data of Chinese classified thesaurus. In A. Slavic, A. Akdag Salah, & S. Davies (Eds.), Classification and visualization: Interfaces to knowledge (pp. 191-206). Wurzburg: Ergon Verlag.
26 Yakshin, M. M. (2015). Development of the Scirus platform. In N. Y. Kalenov & V. A. Tsvetkova (Eds.), Information provision of science, new technologies (pp. 203-207). Moscow: LNS RAS.
27 Zenz, G., Zhou, X., Minack, E., Siberski, W., & Nejdl, W. (2009). From keywords to semantic queries: Incremental query construction on the semantic web. Journal of Web Semantics, 7(3), 166-176.   DOI
28 Li, H., & Xu, J. (2013). Semantic matching in search. Foundations and Trends in Information Retrieval, 7(5), 343-469.   DOI
29 Antopol'skii, A. B., Beloozerov, V. N., Kalenov, N. Y., & Markarova, T. S. (2018). On the development of terminological database as a complex of sectorial information retrieval thesauri. Information Resources of Russia, 5, 22-30.
30 About the linguistic ontology "Thesaurus RuThes". (n.d.). Retrieved April 10, 2019 from http://www.labinform.ru/pub/ruthes/index.htm.
31 Antopol'skii, A. B., Beloozerov, V. N., Kalenov, N. E., Shaburova, N. N., & Yakshin, M. M. (2017). The development of a semantic network of keywords based on definitive relationships. Scientific and Technical Information Processing, 44(4), 261-265.   DOI
32 Antopol'skii, A. B., Beloozerov, V. N., & Markarova, T. S. (2017). On the development of the ontology based on the classifiers of scientific information and terminological dictionaries. Information Resources of Russia, 5, 2-7.
33 Antopol'skii, A. B., & Markarova, T. S. (2017). Information languages in the twenty-first century. Retrieved April 10, 2019 from http://www.systemling.narod.ru/informat/bibliografiya-ontologij.docx.
34 Antoshkova, O. A., Beloozerov, V. N., Dmitrieva, E. Y., & Shapkin, A. V. (2017). Development of ontology of STI on the basis of bibliographic classifications. In N. Y. Kalenov & V. A. Tsvetkova (Eds.), Information provision of science, new technologies (pp. 292-300). Moscow: LNS RAS.
35 Bast, H., Baurle, F., Buchhold, B., & Haussmann, E. (2013). Broccoli: Semantic full-text search at your fingertips. Retrieved April 10, 2019 from https://arxiv.org/abs/1207.2615.
36 Antoshkova, O. A., Beloozerov, V. N., Dmitrieva, E. Y., Smirnova, O. V., Shapkin, A. V., & Shaburova, N. N. (2017). On a method for constructing an ontology of scientific and technical information as a network of bibliographic classifications. Scientific and Technical Information Processing, 44(4), 266-272.   DOI
37 Barathi, M., & Valli, S. (2014). Topic based query suggestion using hidden topic model for effective web search. Journal of Theoretical and Applied Information Technology, 59(3), 632-642.
38 BARTOC.org. (n.d.). About. Retrieved April 10, 2019 from https://bartoc.org/en/content/about.
39 Bast, Н., Buchhold, B., & Haussmann, E. (2016). Semantic search on text and knowledge bases. Foundations and Trends in Information Retrieval, 10(2-3), 119-271.   DOI
40 Beloozerov, V. N. (2015). Technology of building up terminological dictionaries using lexicon of classification systems. In N. Y. Kalenov & V. A. Tsvetkova (Eds.), Information provision of science, new technologies (pp. 126-136). Moscow: LNS RAS.
41 Beloozerov, V. N., & Shaburova, N. N. (2015a). Comparison of bibliographic classifications for semiconductors and nanotechnologies in thesaurus format. Scientific and Technical Information Processing, 3, 47-51.
42 Beloozerov, V. N., & Shaburova, N. N. (2015b). Thesaurus of thematic rubrics in semiconductor physics as a model of united classificational-vocabulary system/Comparison of LBC and UDC with the help of thematic meanings of "47 Electronics. Radioengineering" SRSTI rubrics. In N. Y. Kalenov & V. A. Tsvetkova (Eds.), Information provision of science, new technologies (pp. 147-152). Moscow: LNS RAS.