Institute for Information Industry

Ping-I Chen

Meng-Jung Shih

Tai-Chun Wang

Wen-Nan Wang

Chi-Hung Tsai

Zon-Yin Shae

Ko-Yang Wang

Yen-Heng Tsao

Chu-Chun Huang

Ya-Hui Chan

You-Cyuan Yang

Shi-Jen Lin

Wen-Fa Huang

Ting-Chieh Tu

Chun-Yen Chu

Shao-Hua Cheng

Hsin-Yi Kuo

Tai-Ta Kuo

Zonyin Shae

A multimodal method for detecting video includes following step of: receiving a message to be detected to obtain a multimodal association result, which message to be detected corresponds to a video to be detected; generating a plurality of detecting conditions according to multimodal association result; searching a plurality of videos in a video detection database to obtain a target video in videos according to detecting conditions, which each of videos includes a plurality of video paragraphs respectively, which each of video paragraphs includes a piece of multimodal related data respectively; comparing detecting conditions and piece of multimodal related data of video paragraphs to obtain a matching video paragraph and using video corresponding to matching video paragraph as the target video; and outputting the target video and the video to be detected to a display device for display.

Multimodal method for detecting video, multimodal video detecting system and non-transitory computer readable medium

A knowledge graph generating apparatus, method and non-transitory computer readable storage medium thereof are provided. The apparatus marks an entity-relationship of the template of goods information in the template of webpage according to the operating signal and generates an extraction rule set, wherein the template of webpage is one of multiple goods webpages and has a template format. The apparatus extracts a plurality of first product information of the first goods webpages according to the extraction rule set, wherein the first goods webpages have the template format and are selected from the goods webpages. The apparatus generates a classified goods information result through a product information classification model, wherein the product information classification model is generated based on the first product information and the entity-relationship of the template of goods information. The apparatus converts the classified goods information result into several semantic triples to generate a knowledge graph.

Knowledge graph generating apparatus, method, and non-transitory computer readable storage medium thereof

A display system for an issue comprises an input unit, a display unit and an processing unit. The input unit receives an initial keyword corresponding to an issue. The display unit displays at least a derivative issue generated from the issue during a time period according to time-based characteristics. The processing unit coupled to the input unit and the display unit obtains tags of subject contents of web pages, and obtains a present keywords group according to co-occurrence correlation of the tags. The processing unit analyzes the correlation between the present keywords calculated based on social voice, analyzing overlap rate for the present keywords compared with the initial keywords, and compares correlation between the present keywords with correlation between the initial keywords calculated based on social voice, in order to determine whether at least one of the derivative issue is generated.

Display system, method and computer readable recording media for an issue

A recommendation method includes providing an ontology database, in which the ontology database includes a plurality of entities, and the entities are arranged in an ontology hierarchy structure with N hierarchy levels; storing a plurality of jlevel user data respectively corresponding to a plurality of users; generating a plurality of klevel user data according to the jlevel user data respectively; clustering the klevel user data; and recommending the entities in the ontology database to the users according to a clustering result.

Recommendation system, method and non-transitory computer readable storage medium for storing thereof

A service requirement analysis system includes a service provider database and an analysis server. The service provider database stores multiple service provider data entries, and is connected to a client device. The analysis server receives a service requirement string, and performs segmentation and filtering to obtain requirement keywords. The correlation values quantifying semantic relatedness between any two of the requirement keywords are calculated to construct a requirement keyword connected graph for dividing the requirement keywords into one or more requirement keyword groups associated with one or more concepts in the service requirement string. A semantic hierarchical structure of each of the requirement keyword groups is constructed for searching the service provider database to obtain service provider data entries matching the service requirement string. The matched entries are displayed on the client device.

Service requirement analysis system, method and non-transitory computer readable storage medium

An electronic computing device, a personalized information providing method thereof, and a non-transitory machine-readable medium thereof are provided. The electronic computing device establishes a first and a second tree structure data according to a first data of a first user and a second data of a second user arranged in a period respectively by using an ontology construction algorithm, and calculates a similarity between the first and the second tree structure data by using a similarity evaluating algorithm, and then analyzes the similarity to subsume the first and the second tree structure data into a group by using a clustering algorithm. The electronic computing device determines difference between the first and the second tree structure data according to the group and generates recommending information corresponding to the first user which is arranged in the period according to the difference, and then enables a monitor to display the recommending information.

Electronic computing device, personalized data recommending method thereof, and non-transitory machine-readable medium thereof

A method for providing article information includes the following steps: an article request for obtaining an article to be read is received through a network from a present client. The article is analyzed to obtain several potential keywords from the article. An internal database is searched to obtain at least one representative keyword, which the potential words belong to, and transformation information between the at least one representative keyword and each potential keyword. A number of search results of the at least one representative keyword is obtained by searching an external database for calculating a number of search results of each potential keyword. Article-related information related to the article is generated according to the number of search results of the potential keywords. The article and the article-related information are combined to generate a web page for being transmitted to the present client through the network.

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Taipei, Taiwan

Ping-I Chen