# An Ontology-Driven Personalized Faceted Search for Exploring Knowledge Bases of Capsicum
## 1 Introduction  
Along with the advancement of Information and Communication Technology (ICT), scientists have generated a tremendous amount of data, including biodiversity data. The era of Biodiversity Big Data has already emerged [1]. Biodiversity data cover a wide range of life forms on Earth within its many regions, ecosystems, and habitats. Multiple new challenges have been introduced including data collection and processing, mobilization, imputation, sharing, and integration [2]. Therefore, more advanced technologies are neededto manage it. Data-intensive science [3], which is also recognized as the fourth paradigm of scientific discovery, serves as a scientific methodology to analyze the large volume of biodiversity data.  
One type of biodiversity data is the characteristics of living organisms at the morphological level. Specific morphological characteristics provide basic information for understanding the structure of an organism, the relationship between structure and function, as well as plant classification. The morphological characteristics also provide plant biologists and taxonomists with a framework to assess the differences or similarities between species. Therefore, the considerable data of characteristics serve as a favorable parameter for accurate identification and description of the plant species. As an example, biologists have used big data and genetic approaches to understand the evolution of the plant form and physiology [4].  
Capsicum is a genus of flowering plants in the Solanaceae family in which the members are well known for having a high economic value. Capsicum fruits, which are popularly known as peppers or chili, have been widely used by people as spices in many cuisines worldwide. Chilli also can be used as a raw material for many products such as sauces, food coloring, and medicine. The genus of Capsicum consists of nearly 30 species and approximately 50.000 varieties [5]. Certainly, there is great variation between and within the pepper species.  
The morphological characteristics of Capsicum can be used as essential information to identify the species of a plant. That information has been collected and shared through multiple knowledge-based systems, online databases, or information systems. Regarding data-intensive science, the challenge lies in the data-sharing approach. Most of the data are shared among scientists or experts who know the meaning of the data. Hence, the data are difficult to be consumed by non-expert users or the public. On the other hand, the latter group of users has been recognized as an essential constituent in the scientific discovery process, especially in collecting substantial amounts of data and engaging with the public [6].  
In this paper, we introduce a method to overcome this challenge. Our method utilizes a faceted search to organize information such that data in a repository can be explored more systematically. This method would help non-expert users to start and focus on finding relevant information from a large number of knowledge bases that contain characteristics of Capsicum.