Exploiting Data Semantics to Discover, Extract, and ModelWeb Sources Export

@inproceedings{Ambite08sadm, abstract = {We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an end-to-end solution to this problem possible. First, given an example source, DEIMOS finds other similar sources online. Second, it invokes and extracts data from these sources. Third, given the syntactic structure of a source, DEIMOS maps its inputs and outputs to semantic types. Finally, it infers the source's semantic definition, i.e., the function that maps the inputs to the outputs. DEIMOS is able to successfully automate these steps by exploiting a combination of background knowledge and data semantics. We describe the challenges in integrating separate components into a unified approach to discovering, extracting and modeling new online sources. We provide an end-toend validation of the system in two information domains to show that it can successfully discover and model new data sources in those domains.}, author = {Ambite, Jose L. and Knoblock, Craig A. and Lerman, Kristina and Plangprasopchok, Anon and Russ, Thomas and Gazen, Cenk and Minton, Steven and Carman, Mark}, booktitle = {Proceedings of ICDM workshop on Semantic Aspects of Data Mining}, citeulike-article-id = {4649393}, citeulike-linkout-0 = {http://www.isi.edu/~lerman/papers/ambite-DataSemantics.pdf}, keywords = {dataintegration, deimos, extraction, informationextraction, informationintegration, lerman, mysemanticmodeling, mysocialweb, semanticmodeling}, posted-at = {2009-05-27 23:14:46}, priority = {2}, title = {Exploiting Data Semantics to Discover, Extract, and ModelWeb Sources}, url = {http://www.isi.edu/~lerman/papers/ambite-DataSemantics.pdf}, year = {2008} }

TY - CONF ID - Ambite08sadm L3 - citeulike-article-id:4649393 N2 - We describe DEIMOS, a system that automatically discovers and models new sources of information. The system exploits four core technologies developed by our group that makes an end-to-end solution to this problem possible. First, given an example source, DEIMOS finds other similar sources online. Second, it invokes and extracts data from these sources. Third, given the syntactic structure of a source, DEIMOS maps its inputs and outputs to semantic types. Finally, it infers the source’s semantic definition, i.e., the function that maps the inputs to the outputs. DEIMOS is able to successfully automate these steps by exploiting a combination of background knowledge and data semantics. We describe the challenges in integrating separate components into a unified approach to discovering, extracting and modeling new online sources. We provide an end-toend validation of the system in two information domains to show that it can successfully discover and model new data sources in those domains. TI - Exploiting Data Semantics to Discover, Extract, and ModelWeb Sources T2 - Proceedings of ICDM workshop on Semantic Aspects of Data Mining KW - dataintegration KW - deimos KW - extraction KW - informationextraction KW - informationintegration KW - lerman KW - mysemanticmodeling KW - mysocialweb KW - semanticmodeling AU - Ambite, Jose AU - Knoblock, Craig AU - Lerman, Kristina AU - Plangprasopchok, Anon AU - Russ, Thomas AU - Gazen, Cenk AU - Minton, Steven AU - Carman, Mark PY - 2008/// UR - http://www.isi.edu/~lerman/papers/ambite-DataSemantics.pdf ER -