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The Use of Resources for Intelligent Information Access

Intelligent Information Access (IIA) refers to technologies that aim to provide effective and efficient access to large, distributed, heterogeneous and multilingual (and at this time mainly text) information, and to satisfy users’ information needs by making use of human knowledge or human-like intelligence. In other words, any information access technologies involving applying human knowledge to retrieve/understand/synthesis/extract information are considered as Intelligent Information Access. Particularly, IIA includes technologies on Cross-Language Information Retrieval (CLIR), Automatic Question Answering (QA), Automatic Classification and Clustering, Text Summarization, and Information Extraction.

IIA research typically makes use of various resources in order to design, construct, and evaluate their algorithms and systems. Here resource is broadly defined as any knowledge sources such as ontology, annotated corpus, test collections and various software systems such as information retrieval (IR) systems or search engines, natural language processing (NLP) tools, classification systems, and/or machine translation systems. Due to the fact that the tasks underlying IIA subfields are normally complex and require sophisticated application of human knowledge, the researchers need to develop appropriate resources themselves and/or find appropriate resources that have been developed by others. More and more researchers choose to make use of freely available resources on the Internet or to collaborate on resource development.

This research project aims to analyze and summarize the use of resources for IIA. The objectives of our project include: 1) to discover what kinds of resources have been used in IIA research and how they have been used; 2) to investigate IIA researcher's information needs and the challenges he or she  found as it relates to the use of resources in the individual’s research; and (3) to systematically organize resources that have been used in IIA research so that researchers can easily find and evaluate them.  

Current Project Members:

Jiangping Chen (jpchen@unt.edui)

Fei Li (fl0030@unt.edu)

Interested in Joining our Team? Please contact Dr. Jiangping Chen (jpchen@unt.edu)

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