COM-0779: Enriching document representation for information retrieval tasks Electronic information retrieval became an important part of our daily lives. However, not all of the information that exists in electronic databases is efficiently searchable for the average reader. This novel technology draws on the power of repositories of collective human knowledge and understanding (e.g. Wikipedia) to assist in retrieving documents more efficiently. It can also be used to enable answering questions asked in natural language or carry out categorization and analysis of complex texts. Read more...
COM-0913: Protection of copyrighted material on the web The internet is increasingly becoming a major source for knowledge and information. Search engines and other web sites that provide information invest extensive resources to meet the user’s demands. Currently, these efforts result in limited information or may lead to legal disputes. Our technology enables a content provider to provide all information without violation of any law. Read more...
COM-1094: Advanced query language for social networks As online social networks become increasingly popular, the amount of available data is constantly on the rise. Search options for end users, however, have remained limited. Our query language opens up new possibilities for retrieving useful data from these vast databases. This language enables new features not implemented today due to resource limitations, such as retrieving the shortest “acquaintance path” between users under various constraints. Read more...
COM-1197: Social networks interaction protocol Social network interaction protocol is an automated feature involving intelligent communication between large numbers of participants in social networks. Known implanted features like allow structured communication regarding events, but they are lack a wide range of communication and dissemination options. We managed to expand social network communication opportunities by creating a new generic protocol that can be modified by participants. Read more...
COM-1067: Maximizing restorable throughput in MPLS networks MPLS recovery mechanisms algorithms are used by large network operators to assure high QoS in case of failure by pre-establishing backup network paths. Current networks use simple methods for calculating feasible primary and backup paths. However, these paths may not efficiently use the network resources and may block other traffic from being serviced, thereby reducing profitability. Our highly efficient algorithm allows network operators to maximize their revenues by allocating primary and backup paths more efficiently without compromising QoS. Read more...
COM-0779: Enriching document representation for information retrieval tasks Electronic information retrieval became an important part of our daily lives. However, not all of the information that exists in electronic databases is efficiently searchable for the average reader. This novel technology draws on the power of repositories of collective human knowledge and understanding (e.g. Wikipedia) to assist in retrieving documents more efficiently. It can also be used to enable answering questions asked in natural language or carry out categorization and analysis of complex texts. Read more...
COM-0913: Protection of copyrighted material on the web The internet is increasingly becoming a major source for knowledge and information. Search engines and other web sites that provide information invest extensive resources to meet the user’s demands. Currently, these efforts result in limited information or may lead to legal disputes. Our technology enables a content provider to provide all information without violation of any law. Read more...
COM-1197: Social networks interaction protocol Social network interaction protocol is an automated feature involving intelligent communication between large numbers of participants in social networks. Known implanted features like allow structured communication regarding events, but they are lack a wide range of communication and dissemination options. We managed to expand social network communication opportunities by creating a new generic protocol that can be modified by participants. Read more...
COM-1094: Advanced query language for social networks As online social networks become increasingly popular, the amount of available data is constantly on the rise. Search options for end users, however, have remained limited. Our query language opens up new possibilities for retrieving useful data from these vast databases. This language enables new features not implemented today due to resource limitations, such as retrieving the shortest “acquaintance path” between users under various constraints. Read more...
COM-1150: Monitoring threshold functions over multiple nodes in distributed data sets Various systems and applications perform monitoring of data streams in a distributed environment. Such applications include, for example, sensor networked, distributed web-sites, etc. Existing methods for data stream monitoring require high computational costs when monitoring non-linear functions. They are also limited in the number of distributed nodes and monitored objects. This method employs a novel geometric approach to monitor the data stream at much greater efficiency and with many fewer restrictions. Read more...
COM-0812: Monitoring multi-variate threshold functions over distributed data streams A common requirement in many emerging applications is the ability to process, in real time, a continuous high-volume stream of data. Consequently, data stream monitoring in a distributed system is the focus of much research in recent years. Examples of such applications are sensor networks, real-time analysis of financial data and intrusion detection. We present a novel geometric approach utilizing naive, centralized algorithms for efficient arbitrary threshold functions monitoring over distributed data streams without requiring the very high communication overhead common in other methods. Read more...
COM-1351: Learning adaptive personalized terms semantic relatedness measurement from examples Semantic relatedness is the quantification of the intensity with which two objects are related to each other. In recent years, the problem of automatically determining semantic relatedness has been steadily gaining attention among statistical natural language processing and artificial intelligence researchers. This method is a novel structure –free supervised approach to learning semantic relatedness from examples. With this model, semantic relatedness learning is treated as a binary classification problem where each instance encodes the relative relatedness of two term pairs. Read more...
COM-0944: XPathL – logical language for integrating relational and XML databases The joint processing of XML and relational data is of major importance in information and knowledge management. Many database management systems support XML data, which is the de facto standard for data representation and exchange over the web. Our method handles conjunctive queries, comprising relational predicates and external predicates, such as XML predicates. The language can be utilized as a target language for higher level constructs or as an embedded query language. Read more...
COM-1204: Multi-core XML query processing Multi-core XML processing is a method that allows better processing performance of an XML Twig Pattern query. The known processing method use sequential algorithms that deal with a single query processing, but since modern computers have multi-core processors we managed to optimize the processing performance of a twig pattern XML query by parallelizing two existing sequential algorithms and in this way create new novel and efficient algorithms . Read more...
