**4.1. Data resource layer**

simplify the display of results, and other dimensions of citation analysis can be implemented according to the same principle. As the quality of data is continually improved, more dimen-

The citation knowledge service system based on ontology introduces ontology-related theory and technology into citation knowledge organization and knowledge retrieval and constructs an ontology-based citation knowledge service system. This system introduces a lightweight cube ontology to organize, store, and query citation knowledge data in a machine-readable

sions of citation analysis can also be achieved in follow-up experiments.

**Figure 4.** Example citation network for citation function analysis and citation age analysis.

202 Scientometrics

**Figure 5.** SPARQL queries and the corresponding citation analysis type.

The data resource layer is at the bottom of the knowledge base and contains the citation knowledge base and the user database.

**Figure 6.** Citation knowledge service system framework.

The citation knowledge base provides data protection used for the construction of the domain ontology base, knowledge retrieval, knowledge recommendation, and other knowledge services. It stores the information about the citation resources gleaned during the knowledge acquisition. In addition to providing the user with the basis of the information, the citation knowledge base also contains other relevant information, such as the authors' personal profile, which allows it to reduce secondary retrieval.

The personal center provides new user registration and user data modification function. Platform management is the function of monitoring the entire knowledge service system that is used to operate the knowledge bases and databases. It mainly includes two modules: a knowledge base management module and a database management module. The knowledge service module includes the core functions of the knowledge service system, including ontology-based knowledge retrieval, knowledge navigation, and knowledge push modules.

The Impact on Citation Analysis Based on Ontology and Linked Data

http://dx.doi.org/10.5772/intechopen.76377

205

The functions of the proposed knowledge base include the following model: collecting literature from the citation database; extracting other relevant information from the authors' home page and organization page and other information carriers; introducing lightweight cube citation ontology to extract consensus citation elements; simplifying the entity level; organizing, storing, and querying data in a machine-readable mode to produce a list of concept features; establishing the relationship between the concept feature list and the domain ontology map; associating the citation knowledge data with the domain knowledge; performing the semantic processing of information after the semantic annotation, expansion, and synthesis; using ontology for formalization; mining implicit semantics through semantic reasoning; and forming a citation knowledge base ultimately. The model for citation

**4.5. The model for citation knowledge base**

knowledge base is shown in **Figure 7**.

**Figure 7.** The model for citation knowledge base.

The user database contains the registration information of the users. This system carries out a user demand investigation when the user registers. It can add user preferences and extract as a conceptual feature the input word phrase(s) of the user. It also performs ontological mapping.
