公开(公告)号：EP1999616A2

公开(公告)日：2008-12-10

申请号：EP07752149.0

申请日：2007-03-01

申请人： Telcordia Technologies, Inc.

发明人： BASSU, Devasis ,  AGRAWAL, Hira ,  JAIN, Ashish ,  LONDON, Saul ,  LOTT, Chris

IPC分类号： G06F15/16

CPC分类号： G06F9/546 ,  G06F8/30 ,  G06F8/38 ,  G06F9/541 ,  H04L41/0226 ,  H04L41/22 ,  H04L41/5045 ,  H04L41/5054 ,  H04L67/36 ,  H04Q3/0054

摘要： A service creation and execution platform provides a unified representation for messages and network protocols. Specifically, the platform is flexible and relies on a bootstrapping approach which enables incorporation of new message formats and protocols. Additional capabilities of the platform include a Graphical User Interface which makes specification of network services easier.

公开(公告)号：EP2030132A2

公开(公告)日：2009-03-04

申请号：EP07777361.2

申请日：2007-06-01

申请人： Telcordia Technologies, Inc.

发明人： BEHRENS, Clifford, A. ,  EGAN, Dennis ,  BASSU, Devasis

IPC分类号： G06F17/30

CPC分类号： G06F17/30746 ,  G06F17/30681

摘要： Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme/document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme/document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and/or documents with the highest cosine value.

公开(公告)号：EP1618467A2

公开(公告)日：2006-01-25

申请号：EP04750497.2

申请日：2004-04-23

申请人： Telcordia Technologies, Inc.

发明人： BEHRENS, Clifford, A. ,  BASSU, Devasis

IPC分类号： G06F7/00

CPC分类号： G06F17/3071 ,  Y10S707/99935 ,  Y10S707/99943

摘要： The use of latent semantic indexing (LSI) for information retrieval and text mining operations is adapted to work on large heterogeneous data sets by first partitioning the data set into a number of smaller partitions having similar concept domains. A similarity graph network is generated in order to expose links between concept domains which are then exploited in determining which domains to query as well as in expanding the query vector. LSI is performed on those partitioned data sets most likely to contain information related to the user query or text mining operation. In this manner LSI can be applied to datasets that heretofore presented scalability problems. Additionally, the computation of the singular value decomposition of the term-by-document matrix can be accomplished at various distributed computers increasing the robustness of the retrieval and text mining system while decreasing search times.