Abstract:
A system (200) and method (300) for dynamic generation of distribution plan for intensive social network analysis (SNA) tasks in a distributed environment comprising at least one Processing Environment Profiler (202); at least one Network Graph Analysis Task Profiler (204); at least one Resource Cost Analyzer (206); at least one Distribution Planner (208); and at least one Task Distributer (210). The at least one Network Graph Analysis Task Profiler (204) further comprises at least one Network Graph Pruning module having means to eliminate unnecessary links and nodes from network graph to produce accurate analysis. A distribution plan for Intensive Social Network (SNA) Tasks is achieved by utilizing a pruned network which extracts the Sub Graph from network graph based on feature set extraction (non-dependent Sub Graph) and estimating the resource cost required to perform each of the given tasks which further map the said task to the appropriate server.
Abstract:
A system (100) for distributed querying of linked semantic webs (110) comprising at least one LOD ontologies index (120) comprising LOD ontologies and metadata relating to said LOD ontologies; at least one concept index (130) comprising concepts and corresponding URIs; at least one relation index (140) comprising relations and corresponding URIs; query interface (160) for entering SPARQL queries; and a distributed query engine (150) in communication with said LOD ontologies index (120), concept index (130) and relations index (140) and adapted to receive queries from said query interface (160); characterised in that said distributed query engine (150) is adapted to: parse and rewrite queries received from said query interface (160) and generate a plurality of sub-queries; identify dependencies within said sub-queries and chunk sub-queries based on ontology; execute sub-queries by sending to relevant source ontology; and merge results obtained from execution of said sub-queries.
Abstract:
A semantic organization and retrieval system (100, 200) of text based web artifacts is provided, the system (100,200) includes a knowledge base (126), a plurality of semantic processors connectable to the knowledge base (126), a semantic organizer (110) connectable to the plurality of semantic processors and a semantic retriever (210) connectable to the plurality of semantic processors.
Abstract:
The present invention relates to a system and method for linguistic processing. The system (100) comprises a representation processor (110) having an abstractor component (120) and a specializer component (130), a stored mappings database (140), a standard vocabularies database (150), and a linguistic ontologies database (160). The abstractor component (120) transforms a linguistic representation into an abstract representation by using abstraction rules. The abstractor component (120) includes a concepts and properties extractor component (121), a verb determinator component (122), a schemas extractor component (123), a schemas mapper component (124), and a concepts and properties matcher component (125). The specializer component (120) transforms an abstract representation into a linguistic representation by using specialization rules. The specializer component (130) includes a triple extractor component (131), a property matcher component (132), a verb determinator component (133), a verb mapper component (134), a semantic roles mapper component (135) and a triple assembler component (136).
Abstract:
A semantic interpretation system (200) based on word linkage information (201) and contextual meaning of a plurality of natural language sentences from a syntactic tree structure (203) is provided, the system (200) includes a semantic interpretation processor (120), which further includes a compiler (205) connectable to a linkage operation module (202) and a syntax operation module (204), a conceptual graph processor (209) connectable to the semantic interpretation processor (120) and a means to access a knowledge base (211), connectable to the conceptual graph processor (209), wherein an output of the semantic interpretation processor (120) is at least one conceptual graph and a plurality of inputs to the system (200) further include word linkage information (201) and syntactic tree structure (203).
Abstract:
A method (100) and an apparatus for user assisted deductive reasoning using a plurality of semantic network refinement iterations (102) comprises performing a user assisted query (104) to ascertain at least one valid node from a plurality of nodes of a semantic network, reducing a solution space of the semantic network (106) by disregarding at least one invalid node from the plurality of nodes of the semantic network and pruning the semantic network (108) based on the at least one valid node from the plurality of nodes of the semantic network. Pruning the semantic network (108) further comprises querying a knowledge base (200) to ascertain a plurality of hypothesis and a corresponding plurality of antecedents for the at least one valid node and constructing a refined semantic network (214) based on the plurality of hypothesis and the corresponding plurality of antecedents for the at least one valid node.
Abstract:
The present invention relates to a system and method for interpreting logical connectives in natural language query. The system (100) and method identify and interpret logical connectives in a natural language query to produce query syntaxes. The system (100) comprises of a morphological analyser (110), a query structure interpreter (120), logical connective interpreter (130), a query enricher (140), a query processor (150) and an answer generator (160).
Abstract:
The present invention relates to an assessment system (102) and method for innovative learning in an e-learning system which (102) comprises a profiling module (104), a planning module (106), a display module (108) and an assessment module (110). The profiling module (104) comprises means for profiling the user based on a psychometric profile. The planning module (106) comprises means for selecting learning material based on the psychometric profile. The display module (108) comprises means for displaying the learning material to the user. The assessment module (110) comprises means for assessing the user by randomly selecting a plurality of questions for display to the user, scoring a plurality of answers from the user using weighted scoring, determining a proficiency level of the user and suggesting a learning pathway to the user based on the proficiency level.
Abstract:
A method (100) and system (200) for ontology navigation and visualization, the system (200) comprises an ontology navigator (202). The ontology navigator (202) comprises means for graphically displaying a plurality of concepts (102) of at least one ontology knowledge base (206), receiving a user query of at least one concept from the plurality of concepts (104), identifying a visualization application (204) for visualizing the at least one concept (106), generating an information set (108) of the at least one concept recognized by the visualization application (204), and forwarding the information set (110) of the at least one concept to the visualization application (204).