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Dive into the research topics where Jianchang Mao is active.

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Featured researches published by Jianchang Mao.


ACM Queue | 2004

Enterprise Search: Tough Stuff

Rajat Mukherjee; Jianchang Mao

The last decade has witnessed the growth of information retrieval from a boutique discipline in information and library science to an everyday experience for billions of people around the world. This revolution has been driven in large measure by the Internet, with vendors focused on search and navigation of Web resources and Web content management. Simultaneously, enterprises have invested in networking all of their information together to the point where it is increasingly possible for employees to have a single window into the enterprise. Although these employees seek Web-like experiences in the enterprise, the Internet and enterprise domains differ fundamentally in the nature of the content, user behavior, and economic motivations.


conference on information and knowledge management | 2002

Thematic mapping - from unstructured documents to taxonomies

Christina Chung; Raymond Lieu; Jinhui Liu; Alpha Luk; Jianchang Mao; Prabhakar Raghavan

Verity Inc. has developed a comprehensive suite of tools for accurately and efficiently organizing enterprise content which involves four basic steps: (i) creating taxonomies, (ii) building classification models, (iii) populating taxonomies with documents, and (iv) deploying populated taxonomies in enterprise portals. A taxonomy is a hierarchical representation of categories. A taxonomy provides a navigation structure for exploring and understanding the underlying corpus without sifting through a huge volume of documents. Thematic Mapping automatically discovers a concept tree from a corpus of unstructured documents and assigns meaningful labels to concepts based on a semantic network. Integrating with Verity Intelligent Classifiers user-friendly GUI, a user can drill down a concept tree for navigation, perform a conceptual search to retrieve documents pertaining to a concept, build a taxonomy from the concept tree, as well as edit a taxonomy to tailor it into various views (customized taxonomies) of the same corpus. Classification rules can be generated automatically from concepts. These classification rules can be used for populating documents into the taxonomy.


web intelligence | 2005

Intelligent Taxonomy Management Tools for Enterprise Content

Mani Abrol; Bhavin Doshi; Jim Kanihan; Amit Kumar; Jinhui Liu; Jianchang Mao

The taxonomy is the most popular way for organizing a large volume of content. A taxonomy, which is typically a hierarchical representation of categories, provides a navigation structure for exploring and understanding the underlying corpus without sifting through a huge volume of documents. Creating and maintaining taxonomies with a large volume of documents remains a daunting task facing many enterprises. Content organization process typically involves four basic steps: (i) creating taxonomies; (ii) building classification models; (iii) populating taxonomies with documents; and (iv) deploying populated taxonomies in enterprise portals. Each step in the process may have unique requirements that determine what techniques and tools are suitable for the tasks. In this paper, we present a comprehensive suite of tools developed by Verity Inc. for accurately, collaboratively, and efficiently organizing enterprise content.


Archive | 2002

System and method for automatically discovering a hierarchy of concepts from a corpus of documents

Christina Chung; Jinhui Liu; Alpha Luk; Jianchang Mao; Sumit Taank; Vamsi Vutukuru


Archive | 2001

Apparatus and method for adaptively ranking search results

Jianchang Mao; Mani Abrol; Rajat Mukherjee; Michel Tourn; Prabhakar Raghavan


Archive | 2003

Method and system for naming a cluster of words and phrases

Jianchang Mao; Sumit Taank; Christina Chung; Alpha Luk


Archive | 2001

Application caching system and method

Ashok K. Chandra; Neil Latarche; Jianchang Mao; Prabhakar Raghavan


Archive | 2001

Method and apparatus for merging result lists from multiple search engines

Jianchang Mao; Rajat Mukherjee; Prabhakar Raghavan; Panayiotis Tsaparas


very large data bases | 2001

Navigating large-scale semi-structured data in business portals

Mani Abrol; Neil Latarche; Uma Mahadevan; Jianchang Mao; Rajat Mukherjee; Prabhakar Raghavan; Michel Tourn; John Wang; Grace Zhang


Archive | 2006

Regulating access to shared content using visibility tokens

Jianchang Mao; Zhichen Xu; Chad Walters; John Wang; Albert Meltzer

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