Research of Conceptual Relation Extraction Based on Improved Hierar- chical Clustering Method
نویسندگان
چکیده
The main task of Ontology learning is concept extraction and conceptual relation extraction. This paper mainly studies the latter. Conceptual relation consists of taxonomic relation and non-taxonomic relation. It introduces hierarchy clustering method, and uses concept hierarchy clustering method which chooses different clustering standards in each hierarchy to obtain the taxonomic relation. It improves the accuracy of the relationship extraction. For extracting the nontaxonomic relation, this paper uses a extended association rule, this method can get concrete names of relation, and confirms the domain and range. In the end, the paper uses the introduced method of Ontology Learning to constructing a domain ontology in the law. And it completes the implementation of an Ontology-based semantic retrieval system. The final effect of this system application demonstrates that this Ontology learning method is efficient.
منابع مشابه
Assessment of the Performance of Clustering Algorithms in the Extraction of Similar Trajectories
In recent years, the tremendous and increasing growth of spatial trajectory data and the necessity of processing and extraction of useful information and meaningful patterns have led to the fact that many researchers have been attracted to the field of spatio-temporal trajectory clustering. The process and analysis of these trajectories have resulted in the extraction of useful information whic...
متن کاملEnvironmental Friendly Enterprise Evaluation Method Based on Hierar- chical Analysis and Neural Network
Evaluation of Agent Coalition is an important issue of complex control and decision-making, and fuzzy soft set is introduced for comprehensive evaluation of Agent Coalition. During the evaluation, personal evaluation index set of each expert is different, and there is overlapping among personal evaluation index sets of each expert, and then the fuzzy soft set is utilized to fuse information of ...
متن کاملExtraction of Respiratory Signal Based on Image Clustering and Intensity Parameters at Radiotherapy with External Beam: A Comparative Study
Background: Since tumors located in thorax region of body mainly move due to respiration, in the modern radiotherapy, there have been many attempts such as; external markers, strain gage and spirometer represent for monitoring patients’ breathing signal. With the advent of fluoroscopy technique, indirect methods were proposed as an alternative approach to extract patients’ breathing signals...
متن کاملAn improved opposition-based Crow Search Algorithm for Data Clustering
Data clustering is an ideal way of working with a huge amount of data and looking for a structure in the dataset. In other words, clustering is the classification of the same data; the similarity among the data in a cluster is maximum and the similarity among the data in the different clusters is minimal. The innovation of this paper is a clustering method based on the Crow Search Algorithm (CS...
متن کاملEnvironmental tranquility: A conceptual framework and urban architectural features
Stressful life and reduced well-being have always been an issue of lifestyle in modern society. Constructing a multidisciplinary conceptual framework of environmental tranquility and quality of life is required for the field of architectural development, improved environmental quality, and enhanced human well-being. This paper reviews the main concepts of tranquility, environmental quality, and...
متن کامل