Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Andrew Zitzelberger"'
Publikováno v:
Journal on Data Semantics. 4:213-229
Keyword search suffers from a number of issues: ambiguity, synonymy, and an inability to handle semantic constraints. Semantic search helps resolve these issues but is limited by the quality of annotations which are likely to be incomplete or impreci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1bfa774db253835e841697a713cee362
https://doi.org/10.1007/s13740-014-0046-4
https://doi.org/10.1007/s13740-014-0046-4
Autor:
Deryle Lonsdale, Joseph Park, David W. Embley, Stephen W. Liddle, Andrew Zitzelberger, Byung-Joo Shin
Publikováno v:
Conceptual Modeling ISBN: 9783642340017
ER
ER
The growth of multilingual web content and increasing internationalization portends the need for cross-language information retrieval. As a solution to this problem for narrow-domain, data-rich web content, we offer ML-HyKSS: MultiLingual Hybrid Keyw
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::652306f31db5cb931f4f261594bf41c6
https://doi.org/10.1007/978-3-642-34002-4_15
https://doi.org/10.1007/978-3-642-34002-4_15
Autor:
Spencer Machado, Thomas L. Packer, Joseph Park, Stephen W. Liddle, David W. Embley, Andrew Zitzelberger, Nathan Tate, Deryle Lonsdale
Publikováno v:
HIP@ICDAR
Building a database of facts extracted from historical documents to enable database-like query and search would reduce the tedium of gleaning facts of interest from historical documents. We propose a solution in which historical documents themselves
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a80a77911080fbeaca3620d982692d4a
https://doi.org/10.1145/2037342.2037353
https://doi.org/10.1145/2037342.2037353
Autor:
David W. Embley, Andrew Zitzelberger
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783642118289
FoIKS
FoIKS
The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f35a08635df6464e665349bd19877e1b
https://doi.org/10.1007/978-3-642-11829-6_15
https://doi.org/10.1007/978-3-642-11829-6_15
Autor:
Stephen W. Liddle, George Nagy, Zonghui Lian, Andrew Zitzelberger, Charla Woodbury, David W. Embley, Cui Tao, Robby Watts, Piyushee Jha, Deryle Lonsdale, Raghav Padmanabhan, Yihong Ding, Jeff Peters, Yuri A. Tijerino, Stephen Lynn, Robert Clawson, Jordan Crabtree
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540878766
ER
ER
The current web is a web of linked pages. Frustrated users search for facts by guessing which keywords or keyword phrases might lead them to pages where they can find facts. Can we make it possible for users to search directly for facts embedded in w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b54cbe0c1cc36d1f706d5ba8bc630acb
https://doi.org/10.1007/978-3-540-87877-3_47
https://doi.org/10.1007/978-3-540-87877-3_47