# Comprehensive Review and Future Research Directions on Dynamic Faceted Search
## 5 Taxonomy and Research of Faceted Search
### Survey and Review  
The current state-of-the-art FS and its applications are well described and summarized in the recently published survey and review articles. Three studies reviewed the technological challenges and concerns about FS [8; 23; 24]. The other 25 articles in this category were divided into four subcategories. The representative surveys of these studies on FS are summarized and discussed as follows:  
1. FS interface: The papers in this subcategory investigated the framework or the platform model based on the prototype that will be developed. One paper [25] dissected the behavioral characteristics of ES and identified six tasks, namely: knowledge acquisition, comparison, planning, finding, answering, and navigating questions. These comparisons helped in evaluating the compatibility of this report and discovery on various sorting experiments;
2. Semantic FS and linked open data: The papers in this subcategory surveyed the most recent studies concerning RDF/S datasets and elaborated on the interaction of session-based approaches for ES. Three papers [26; 27; 28] focused on several aspects of these datasets, including the assumed target user, the configuration of the underlying information structure, and the generality and features of the browsing structure. The article [29] developed several evaluation models that adopted a user-centered ES method. The complexities and obstacles in ES were also discussed, as seen by the lack of strategies for evaluating ES models. One paper [30] proposed a comprehensive tutorial. This new information visualization mechanism can help users create informed design considerations about integrating information visualization into their interactive information search;
3. User interface: The papers under this category presented an improved user interface design for FS. Among the collected research articles, two papers [31; 32] reviewed the concept of ES and its primary theoretical grounds and explained such a complex concept by demonstrating the context of its problem and its search procedure. They also predicted the direction of advancements in the ES area depending on the social state of information search. The authors of [9; 33; 34; 35; 36] studied the development of new decision support tools and explored the visual knowledge system. The main  
Figure 6: Taxonomy of faceted search.  
contribution of these studies was to find out how a system can achieve the intended enhancement based on the survey that was performed on the projects by using meta requirements. The authors argued that enterprise users in petroleum manufacturing, for instance, can help explore the SE results related to word repetition filters. Other collected studies presented an overview of FS. The research in the library of \"future-generation\" catalogs that combine FS outcomes was later evaluated based on the questions of what is known by now regarding FS and the way to design improved research for FS in library catalogs [37; 38; 39; 40; 41];
4. Faceted classification: These analyzed the interface that enables faster and easier access to the required information. The articles [42; 43] discussed six main facets of searches: query sessions, space, user attitude, technical requirements, space of contents, and user racial background. They also presented an interface that enables smoother access to the required information, which illustrates the motivations and needs for FS. The lack of all organizations can further summarize the result of faster and easier access to all sorts of information;
5. Faceted search framework: The papers in this subcategory investigated visualizing browsing and refining search results to allow users to build complex search queries visually. This proposed FS can also solve the problem of lexical uncertainty in current search engines and result in greater user interest [44; 45].  
RQ2. What are the primary aims, vision, and trends for faceted search, and what research can be highlighted in this area?