Enhanced hypertext categorization using hyperlinks
SIGMOD '98 Proceedings of the 1998 ACM SIGMOD international conference on Management of data
A patent search and classification system
Proceedings of the fourth ACM conference on Digital libraries
Localization of Knowledge and the Mobility of Engineers in Regional Networks
Management Science
SIGIR '00 Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval
An introduction to support Vector Machines: and other kernel-based learning methods
An introduction to support Vector Machines: and other kernel-based learning methods
Proceedings of the 9th international World Wide Web conference on Computer networks : the international journal of computer and telecommunications netowrking
An Evaluation of Statistical Approaches to Text Categorization
Information Retrieval
Relational learning with statistical predicate invention: better models for hypertext
Machine Learning - Special issue on inducive logic programming
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
A Study of Approaches to Hypertext Categorization
Journal of Intelligent Information Systems
Composite Kernels for Hypertext Categorisation
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Hypertext Categorization using Hyperlink Patterns and Meta Data
ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
A survey of kernels for structured data
ACM SIGKDD Explorations Newsletter
Recombinant Uncertainty in Technological Search
Management Science
A Support Vector Machine with a Hybrid Kernel and Minimal Vapnik-Chervonenkis Dimension
IEEE Transactions on Knowledge and Data Engineering
Collaborative Networks as Determinants of Knowledge Diffusion Patterns
Management Science
A statistical framework for genomic data fusion
Bioinformatics
Protein function prediction via graph kernels
Bioinformatics
Link-based similarity measures for the classification of Web documents
Journal of the American Society for Information Science and Technology
Leveraging Tacit Organizational Knowledge
Journal of Management Information Systems
Situated Learning and the Situated Knowledge Web: Exploring the Ground Beneath Knowledge Management
Journal of Management Information Systems
Toward Virtual Community Knowledge Evolution
Journal of Management Information Systems
Generating and Browsing Multiple Taxonomies Over a Document Collection
Journal of Management Information Systems
Price Mechanism for Knowledge Transfer: An Integrative Theory
Journal of Management Information Systems
Classification from full text: a comparison of canonical sections of scientific papers
JNLPBA '04 Proceedings of the International Joint Workshop on Natural Language Processing in Biomedicine and its Applications
Discriminative probabilistic models for relational data
UAI'02 Proceedings of the Eighteenth conference on Uncertainty in artificial intelligence
Patent co-citation networks of Fortune 500 companies
Scientometrics
Sentimental Spidering: Leveraging Opinion Information in Focused Crawlers
ACM Transactions on Information Systems (TOIS)
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Knowledge management is essential to modern organizations. Due to the information overload problem, managers are facing critical challenges in utilizing the data in organizations. Although several automated tools have been applied, previous applications often deem knowledge items independent and use solely contents, which may limit their analysis abilities. This study focuses on the process of knowledge evolution and proposes to incorporate this perspective into knowledge management tasks. Using a patent classification task as an example, we represent knowledge evolution processes with patent citations and introduce a labeled citation graph kernel to classify patents under a kernel-based machine learning framework. In the experimental study, our proposed approach shows more than 30 percent improvement in classification accuracy compared to traditional content-based methods. The approach can potentially affect the existing patent management procedures. Moreover, this research lends strong support to considering knowledge evolution processes in other knowledge management tasks.