Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
The Journal of Machine Learning Research
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Computational Linguistics - Special issue on word sense disambiguation
Resource space model, its design method and applications
Journal of Systems and Software
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UAI '04 Proceedings of the 20th conference on Uncertainty in artificial intelligence
The Knowledge Grid
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Resource space model, OWL and database: Mapping and integration
ACM Transactions on Internet Technology (TOIT)
Learning to link with wikipedia
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A complex network approach to text summarization
Information Sciences: an International Journal
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Extracting key terms from noisy and multitheme documents
Proceedings of the 18th international conference on World wide web
Automatic Extraction of Useful Facet Hierarchies from Text Databases
ICDE '08 Proceedings of the 2008 IEEE 24th International Conference on Data Engineering
Using encyclopedic knowledge for automatic topic identification
CoNLL '09 Proceedings of the Thirteenth Conference on Computational Natural Language Learning
Topic identification using Wikipedia graph centrality
NAACL-Short '09 Proceedings of Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Companion Volume: Short Papers
Multidisciplinary instruction with the Natural Language Toolkit
TeachCL '08 Proceedings of the Third Workshop on Issues in Teaching Computational Linguistics
Natural Language Processing with Python
Natural Language Processing with Python
Topic models for image annotation and text illustration
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Semantic linking through spaces for cyber-physical-socio intelligence: A methodology
Artificial Intelligence
The Complex Semantic Space Model
WETICE '11 Proceedings of the 2011 IEEE 20th International Workshops on Enabling Technologies: Infrastructure for Collaborative Enterprises
A wikipedia based semantic graph model for topic tracking in blogosphere
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
Probabilistic Resource Space Model for Managing Resources in Cyber-Physical Society
IEEE Transactions on Services Computing
The Knowledge Grid: Toward Cyber-Physical Society
The Knowledge Grid: Toward Cyber-Physical Society
Semantic similarity estimation from multiple ontologies
Applied Intelligence
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Resource Space Model is a kind of data model which can effectively and flexibly manage the digital resources in cyber-physical system from multidimensional and hierarchical perspectives. This paper focuses on constructing resource space automatically. We propose a framework that organizes a set of digital resources according to different semantic dimensions combining human background knowledge in WordNet and Wikipedia. The construction process includes four steps: extracting candidate keywords, building semantic graphs, detecting semantic communities and generating resource space. An unsupervised statistical language topic model (i.e., Latent Dirichlet Allocation) is applied to extract candidate keywords of the facets. To better interpret meanings of the facets found by LDA, we map the keywords to Wikipedia concepts, calculate word relatedness using WordNet's noun synsets and construct corresponding semantic graphs. Moreover, semantic communities are identified by GN algorithm. After extracting candidate axes based on Wikipedia concept hierarchy, the final axes of resource space are sorted and picked out through three different ranking strategies. The experimental results demonstrate that the proposed framework can organize resources automatically and effectively.