**Abstract**

The World Wide Web is the result of a radical new way of thinking about sharing information. This idea seems familiar now, as the web itself has become pervasive. But this radical new way of thinking has even more profound ramifications when it is applied to a web of data like the semantic web. These ramifications have driven many of the design decisions for the semantic web standards and have a strong influence on the craft of producing quality semantic web applications. Until several years ago, the semantic web was primarily in a research phase. The new implementations of it were mainly to demonstrate the potential of the idea. While much of the activity related to semantic technology still takes place within the academic community, there are now real-world examples of the technology to use as a model. This paper has selected the matured level open-source tools for management of taxonomy and ontology in semantic web environment. Apart from this it also presents some important snapshot available in an online environment for designing and developing the taxonomy and ontology. This is very helpful to the users in using the concept of science and technology in cloud computing and online and offline environment.

**Keywords:** ontology, semantic web, TemaTres, visual vocabulary, and taxonomy

### **1. Introduction**

This is the age of technology where digital information resources are increasing. It is a good concept for creating both the present and next-level automated and digital library system because it can highly be performed in the semantic web environment for executing the functional activities of libraries and any information resource centers. It helps the researchers for reviewing their literature. Here users can easily access and understand the terms and their relation from these interfaces for the better management of library and information services. It manages the big data in semantic web-linked data environment. It is also possible to manage the bibliographic link data in the visual vocabulary format, so the users can easily download the content as well as information. This is a web-based architecture in the Internet. Semantic web is one of the important aspects in cloud computing [1]. A lot of linking of web resources are available in an online environment [2]. The idea of a web of information was once a technical idea accessible only to a highly trained elite of information professionals: IT administrators, librarians, information architects, and other resources [3]. It is known as big data concept in semantic web level. It is based on open-source standards and formats including SPARQL, RDF, JSON, HTML,

XHTML, DTD, METS, MODS, etc. for managing the different web resources in any institutions or in any library [4]. These formats help to draw the visual graph of each uniform resource identifier for maintaining and managing the big data in the Internet [5]. Visual vocabulary is also an important concept in semantic web because it stores the large number of data and their linking also [6]. It is possible to manage the relations of different subjects by their specific identities, properties, and entities [7]. Big data is easily managed by using the open-source software and open standard formats in an online environment [8]. Users can easily access their necessary information by using this semantic web software in an Internet environment because it can manage the controlled vocabularies and their relationships of each element of any subject fields [9]. So, obviously it can save the time of reader and library professionals also [10]. It can manage the N-Triples, a format for storing and transmitting data, and Terse RDF Triple Language (Turtle), and XML provides an elemental syntax for content structure within documents yet associates no semantics with the meaning of the content contained within [11]. XML is not at present a necessary component of semantic web technologies in most cases, as alternative syntaxes exist, such as Turtle [12]. The World Wide Web contains many billions of pages. The SNOMED CT medical terminology ontology alone contains 370,000 class names, and existing technology has not yet been able to eliminate all semantically duplicated terms [13]. Any automated reasoning system will have to deal with truly huge inputs [14]. The objective of this chapter is very simple to highlight some popular taxonomy, ontology, and visual vocabulary through open-source tools for the users as well as library professionals. The important tools have been discussed in the next section. It also shows how it works in the web environment.
