Classification and Intelligent Search on Information in XML

XML将成为在产品目录、数字图书馆、科学数据存储库和Web上表示各种文档的首选方法。然而，仅仅将所有文档转换为XML格式并不一定使文档的语义明确，也不一定更适合有效的信息搜索。相反，为了在全球范围内充分利用XML，需要在以下问题上取得重大进展：-提供一种易于使用但功能强大且有效的搜索语言，该语言结合了当前XML模式匹配语言的概念（例如，XPATH、XML-QL等）利用本体支持的信息检索式搜索结果排序，-通过构造结构和本体骨架（例如，以DTD的形式），其在更高的语义级别上描述数据并且还可以促进新形式的索引以提高效率，以及-根据给定的主题或个性化的分层本体对现有文档进行分类以使搜索更有效（例如，利用相关性反馈）和高效（例如，限制搜索焦点）。拟议的项目名为CLASSIX（XML信息的分类和智能搜索），将利用现有的模式提取、分类、模式匹配以及文本搜索和排名技术，解决所有三个相互关联的问题，并旨在将它们整合为智能处理XML文档的重要一步。来自不同领域的XML数据集合将作为一个实验测试平台，以评估和展示该项目的贡献。

XML will be the method of choice for representing all kinds of documents in product catalogs, digital libraries, scientific data repositories, and across the Web. However, merely casting all documents into XML format does not necessarily make a document's semantics explicit and more amenable for effective information searching. Rather, to fully leverage XML on a global scale, significant progress is needed on the following issues: - providing an easy-to-use yet powerful and efficient search language that combines concepts from current XML pattern-matching languages (e.g., XPATH, XML-QL, etc.) with ontology-backed information-retrieval-style search result ranking, - extracting more semantics from existing document collections by constructing structural and ontological skeletons (e.g., in the form of DTDs) that describe the data at a higher semantic level and can also facilitate new forms of indexing for efficiency, and - classifying existing documents according to a given thematic or personalized, hierarchical ontology to make searching more effective (e.g., exploit relevance feedback) and efficient (e.g., limit the search focus). The proposed project, coined CLASSIX (Classification and Intelligent Search on Information in XML), will address all three, mutually interrelated issues, leveraging existing techniques for pattern extraction, classification, pattern matching as well as text search and ranking, and aims to integrate them for a significant step towards intelligent handling of XML documents. Collections of XML data from different areas will serve as an experimental testbed to evaluate and demonstrate the project's contributions.