社会网络语义模型及语义搜索关键问题研究

The research on social network is a new area in which semantic model and semantic search have not yet achieved authoritative results. In this proposal, we conduct research on the semantic model and semantic search for social network based on the Information Networking Model proposed by the applicant. The objectives of the proposal are to generate foudamental research on modeling and searching the semantic information of social network and implement a general-purpose prototype system. First, we will conduct a systematic investigation on semantic information modeling and searching requirements for social network, identify various natural and complex semantic relationships between real-world entities in social networks, extend the Information Networking Model and its intelligent modeling language to represent these relationships, and design powerful structured query language, path query language and restricted natural language for different kinds of users to search the information based on these semantic relationships. Then we will perform in depth research on the implementation related issues, such as effitive large-grained cluster storage strategy and indexing mechanisms, efficient query process, optimization and inference techniques, and systematically implement a robust and efficient intelligent database management system based on Informaiton Networking Model to organize, manage, maintain, update, and search all kinds of complex data in social netowrk. The proposed research will enrich the theoretical and technical foundations of semantic search engine for social networks over the Internet.

社会网络是一个新兴的研究方向，目前该领域的语义模型和语义搜索还没有权威的研究成果。本项目以申请人提出的"信息网模型"为基础，研究社会网络语义模型及其搜索的关键问题。目标是产生社会网络语义建模和搜索领域的基础研究成果并实现其原型系统。深入系统地调查社会网络领域语义建模和语义搜索的需求；重点研究社会网络中各种实体之间复杂的语义关系并扩展"信息网模型"及其智能建模语言；设计结构化查询语言及适合不同层次用户使用的路径查询语言、受限自然语言查询语言及关键字查询。深入研究与系统实现相关的问题，如：大粒度聚簇存储策略及其索引机制、高效的查询优化算法。研发基于"信息网模型"的智能数据库管理系统用于组织、管理和搜索社会网络领域的复杂数据，为互联网上社会网络的语义搜索引擎研发提供理论和技术基础。

社会网络是一个新兴的研究方向，目前该领域的语义模型和语义搜索还没有权威的研究成果。本项目以申请人提出的“信息网模型”为基础，研究社会网络语义模型及其搜索的关键问题。目标是产生社会网络语义建模和搜索领域的基础研究成果并实现其原型系统。本项目首先深入系统地调查了学术社会网络领域信息的语义建模和语义搜索需求；重点研究了社会网络中各种实体之间复杂的语义关系并扩展“信息网模型”及其智能建模语言；设计了结构化查询语言及适合不同层次用户使用的路径查询语言、受限自然语言查询语言及关键字查询；深入地研究与系统实现相关的问题，如：大粒度聚簇存储策略及其索引机制、高效的查询优化算法；提出了社会网络领域信息的抽取与集成方法，开发了基于“信息网模型”的学术搜索引擎和基于学术社会网络的在线学习平台Weblearn。