Mining information across multiple domains: A case study of application to patent laws and regulations in biotechnology |
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| Authors: | Hang Yu Siddharth Taduri Jay Kesan Gloria Lau Kincho H Law |
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| Institution: | 1. Department of Medicine, Arizona College of Medicine, University of Arizona, 1501 N. Campbell Avenue, PO Box 245017, Tucson, AZ 85724, United States;2. Mel and Enid Zuckerman College of Public Health, University of Arizona, 1295 N. Martin Avenue, PO Box 245163, Tucson, AZ 85724, United States;3. Department of Medicine, Cleveland Clinic Foundation, 9500 Euclid Avenue, NA 10, Cleveland, OH 44195, United States;4. University of Arizona College of Pharmacy, 1295 N. Martin Avenue, PO Box 210202, Tucson, AZ 85721, United States;5. Department of Medicine, Nishtar Medical College and Hospital, Nishtar Road, Multan, Pakistan;6. Department of Cardiology, Sarver Heart Center, University of Arizona, 1501 N. Campbell Avenue, Tucson, AZ 85724, United States;1. University of New Haven, United States;2. Penn State University, United States |
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| Abstract: | In this paper, we present a framework that can process a user query for retrieval of information from documents of different properties across multiple domains, with specific application to patent laws and regulations. The framework has three basic components. The first component is ontology mapping and generation. What happens is that the keywords entered by users are mapped into a subset of relevant keywords. This step is performed by looking up those words in an ontology database. The second component is the joint and cross search in various document domains; in our case, they are patents and scientific publications. The last component is to modify the search results by applying user feedback statistics. The results of feedback will be saved as metadata for future uses.A case example is given to demonstrate how results from multiple domain searches can be combined using ontology and cross referencing. We use an example of well-known biotechnology patents on erythropoietin (EPO) and give detailed analysis on each document domain with this keyword. Relationships between each domain are demonstrated.A user feedback mechanism is also discussed in this paper. The ability to take user feedback into the framework is important. There is no doubt that domain knowledge from expert or experienced users could be a very good compliment to the proposed system. Both direct and indirect user feedbacks are discussed. |
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