International Business Machines Corporation

Chen-Yu Huang

June-Ray Lin

Ying-Chen Yu

Ci-Hao Wu

Hsieh-Lung Yang

Kuei-Ching Lee

Chia-Heng Lin

Chien-Chiao Tu

Sheng-Wei Lee

Noon Ju Kim

Curtis Ch Wei

Provided are systems, methods, and media for multiphase graph partitioning for malware entity detection. An example method includes receiving an input string associated with the malware entity. A determination is made as to whether the input string includes a symbolic word, a non-symbolic word, a symbolic phrase, or a non-symbolic phrase. A branching graph is formed based on a combination of the input string and a plurality of stored strings that are each associated with the malware entity to determine whether the input string is a valid detection name of the malware entity, in which the branching graph is formed by at least performing a first graph partitioning stage and a second graph partitioning stage. The input string is then labeled based on the formed branching graph and then outputted to a malware detection engine.

Multiple phase graph partitioning for malware entity detection

A method, computer system, and a computer program product for crawling and extracting main content from a web page is provided. The present invention may include retrieving a HTML document associated with a web page. The present invention may then include identifying at least one entry point located in the retrieved HTML document by utilizing a self-adaptive entry point locator. The present invention may also include extracting a main content article associated with the retrieved HTML document based on the identified at least one entry point. The present invention may further include presenting the extracted main content associated with the retrieved HTML document to the user.

Self-adaptive web crawling and text extraction

A method, computer program product, and computing system device for receiving, on a computing device, a plurality of webpages. At least one webpage may be filtered from the plurality of webpages into at least one set of webpages using a decision tree algorithm. At least one remaining webpage may be filtered from the plurality of webpages into the at least one set of webpages using a supported vector machine (SVM) algorithm.

System and method for filtering excerpt webpages

Whenever a document is going to be included into the textual database, a semantic binder is used to associate the document with one or more semantic nodes which are defined in a semantic taxonomy. When a search is performed, a search application looks through a semantic dictionary (which contains a table mapping queries to nodes on the semantic taxonomy) to see whether any corresponding semantic node can be found for the searchers query. If a match is found, the search application transforms the user's query into ['original query' OR 'semantic node'] so that relevant documents, even they do not contain any user's keyword, can also be found in the database. The system binds semantic nodes arranged in a hierarchical structure of the taxonomy using a Log Analyzer which periodically looks through the system log for new queries and through textual indices for documents added to the database to generate the semantic dictionary and to bind the semantic nodes to the queries in the textual indices of the documents.

Method of search content enhancement

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Taipei, Taiwan

Chen-Yu Huang