**10. Conclusion**

Vocabulary creation is important for the users in any library including academic, public, and research libraries. It can manage and maintain the narrower terms and broader terms in respect to one term of a specific subject like philosophy, Bengali, history, chemistry, etc. Search interfaces of visual vocabulary are very sophisticated, and here quick search facilities are available also. The alphabetical index part contains each and every term, including synonyms, quasi-synonyms, and antonyms, occurring in the systematic part, along with its narrower terms. It controls the different terms used in indexing, providing a means of translating the natural language authors, indexers, and enquirers into a more constrained language used for indexing and retrieval. Visual vocabulary is one of the important concepts

**73**

**Author details**

Sukumar Mandal

Golapbag, West Bengal, India

provided the original work is properly cited.

*Taxonomy and Ontology Management Tools: A General Explanation*

of formulation of different words and their associated terms. All the terms and correlated terms against one specific subject are to be appeared in a visual vocabulary interface. It can manage the different terms including broader terms, narrower terms, and both preferred and non-preferred terms. In this section overview, the concept of a visual vocabulary is a strategy that draws inspiration from the text retrieval community and enables efficient indexing for different terms of a specific item types. Since the occurrence of a given word tends to be sparse across different documents, an index that maps words to the files in which they occur can take a keyword query and immediately produce relevant content. Obviously, it can conclude that the above tools highly overview the taxonomy and ontology in semantic web environment for easy access and download of metadata as well as full-text resources and their measures by graph. Thesaurus, taxonomy, and ontology are properly managed by using these tools for better management and retrieval

Department of Library and Information Science, The University of Burdwan,

© 2019 The Author(s). Licensee IntechOpen. This chapter is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/ by/3.0), which permits unrestricted use, distribution, and reproduction in any medium,

\*Address all correspondence to: sukumar.mandal5@gmail.com

*DOI: http://dx.doi.org/10.5772/intechopen.88606*

of linked and resources in the web environment.

#### *Taxonomy and Ontology Management Tools: A General Explanation DOI: http://dx.doi.org/10.5772/intechopen.88606*

*Ontological Analyses in Science, Technology and Informatics*

TemaTres is a web-enabled open-source thesaurus construction software and written in PHP programming language. It is also known as vocabulary server for management formal representations of knowledge, thesauri, taxonomies, and multilingual vocabularies [15]. It has many features including SPARQL Protocol and RDF Query Language, Meta-terms (define facets, collections or arrays of terms), support for multilingual thesaurus, expose vocabularies with powerful web services, search terms suggestion, display terms in multiple deep levels in the same screen, search expansion, vocabulary harmonization, relationship between terms (BT/NT, USE/UF, RT), no limits to number of terms, alternative labels, levels of hierarchy, etc., systematic or alphabetic navigation, complete export in XML format (Zthes, TopicMaps, MADS, Dublin Core,VDEX, BS 8723, SiteMap, SQL), complete export in RDF format, complete export in txt, scope notes, historical and bibliographical notes, user management, terms and user supervision, duplicates terms control, free terms control, quality assurance functions (Duplicates and free terms, ilegal relations), multilingual interface, easy install, utility to import thesauri from tabulated textfiles, unique code for each term, terminology mapping with multilingual, term reports for editors, workflow like candidate, accepted and rejected terms, allow to create user-defined relationships, allow to define published and hidden labels, relationships between terms and web entities, export to WXP

(WordPress XML) and import and export data in Skos-core (**Figure 6**).

Vocabulary creation is important for the users in any library including academic,

public, and research libraries. It can manage and maintain the narrower terms and broader terms in respect to one term of a specific subject like philosophy, Bengali, history, chemistry, etc. Search interfaces of visual vocabulary are very sophisticated, and here quick search facilities are available also. The alphabetical index part contains each and every term, including synonyms, quasi-synonyms, and antonyms, occurring in the systematic part, along with its narrower terms. It controls the different terms used in indexing, providing a means of translating the natural language authors, indexers, and enquirers into a more constrained language used for indexing and retrieval. Visual vocabulary is one of the important concepts

**9. Visual vocabulary TemaTres**

**72**

**10. Conclusion**

*Visual vocabulary interface in TemaTres.*

**Figure 6.**

of formulation of different words and their associated terms. All the terms and correlated terms against one specific subject are to be appeared in a visual vocabulary interface. It can manage the different terms including broader terms, narrower terms, and both preferred and non-preferred terms. In this section overview, the concept of a visual vocabulary is a strategy that draws inspiration from the text retrieval community and enables efficient indexing for different terms of a specific item types. Since the occurrence of a given word tends to be sparse across different documents, an index that maps words to the files in which they occur can take a keyword query and immediately produce relevant content. Obviously, it can conclude that the above tools highly overview the taxonomy and ontology in semantic web environment for easy access and download of metadata as well as full-text resources and their measures by graph. Thesaurus, taxonomy, and ontology are properly managed by using these tools for better management and retrieval of linked and resources in the web environment.
