摘要
知识图谱作为一种新型知识表示方法,以结构化的形式描述客观实体之间的关系。为推动知识图谱在服装领域的应用,文章首先阐述了知识图谱的基本概念、关键技术、构建方法及应用领域,随后阐述了知识图谱在服装领域中研究的必要性,综述了当前知识图谱在服装设计、服装生产及服装营销方面的研究进展,并分析目前服装知识图谱的优缺点,以及在构建服装领域知识图谱所遇到的挑战,同时指出服装领域中可构建知识图谱的方向与现实意义。研究认为,知识图谱在服装各个领域具有较大的发展前景,将服装知识图谱与人工智能等技术相结合,能够推动服装设计、制版等方面的智能化、自动化。
Knowledge graphs,as a novel knowledge representation method,originated from the fields of artificial intelligence and the semantic web.Its development can be traced back to the early 1990s.At that time,the rapid growth of the Internet led to an influx of massive information,but there lacked structured and semantic connections,making information retrieval and comprehension challenging.To address this issue,researchers began exploring a new representation method that could express the relationships between knowledge,thus introducing the concept of knowledge graphs.With the advancement of artificial intelligence technologies,particularly in natural language processing,graph databases,and machine learning,the application of knowledge graphs has expanded significantly.They are not only used for structured knowledge expression and querying but also extensively applied in areas such as search engine optimization,intelligent recommendation systems,and natural language understanding.Moreover,knowledge graphs have achieved remarkable success in industries such as healthcare,finance,and education.In the field of fashion,knowledge graph application has also shown immense potential and promising prospects.We firstly introduced the fundamental concepts,key technologies,and construction methods of knowledge graphs,along with their extensive applications in other fields.Subsequently,we focused on elucidating the necessity of researching knowledge graphs in the domain of fashion.With the rapid development of the fashion industry,intelligence and automation have become increasingly crucial.Knowledge graphs,as a powerful knowledge management and expression tool,are expected to further drive the digitization process in fashion design,production,and marketing.By structurally integrating data and knowledge from various aspects,the fashion industry can better grasp fashion trends,optimize the supply chain,promote sustainability,and offer personalized custom products and services.Currently,there have been several examples of applying kn
作者
贡沁茵
李小辉
GONG Qinyin;LI Xiaohui(College of Fashion and Design,Donghua University,Shanghai 200051,China;Key Laboratory of Clothing Design and Technology Ministry of Education,Donghua University,Shanghai 200051,China)
出处
《丝绸》
CAS
CSCD
北大核心
2023年第10期8-14,共7页
Journal of Silk
关键词
知识表示
知识图谱构建
服装知识图谱
服装智能化
智能制版
服装生产
knowledge representation
knowledge graph construction
clothing knowledge graph
clothing intelligence
intelligent plate making
clothing production
