Mainstream media report hot-spot analyzing system based on studying type web ontology language (OWL) modeling

A mainstream media, hot-spot technology, applied in the field of network computers, can solve the problems of inability to extend concepts and correlation analysis, omission of articles, etc.

Active Publication Date: 2014-12-31
江苏联著实业股份有限公司
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Problems solved by technology

However, this hotspot analysis method cannot achieve concept extension and correlation analysis, such as: Guo Meimei and the Chinese Red Cross? Who benefits from Gaddafi's death? European debt and the world financial crisis, the impact of the US economy on China, etc.
Although some articles do not directly appear a certain keyword, but it still says the same thing, using the traditional hotspot analysis method will miss such articles

Method used

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  • Mainstream media report hot-spot analyzing system based on studying type web ontology language (OWL) modeling

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Embodiment Construction

[0015] The present invention is the same as the traditional news hotspot analysis method, and the news hotspot analysis system based on the OWL (Ontology of Web Language) knowledge model also first obtains a large amount of news information through a search engine, and also counts the frequency of dissemination, attention, and comments It is the main basis for heat estimation. The difference is that traditional statistical objects are keyword groups, essays, or articles, but this patent uses a combination of (related) concepts based on OWL, namely: OWL knowledge model.

[0016] In order to obtain an accurate OWL knowledge model, it is first necessary to convert the massive news information text obtained by the search engine into an OWL ontology instance, see the patent "Internet Text Analysis and OWL Converter Based on OWL", and then convert the OWL ontology representing the massive news information The instance library is used as an ontology meta-inverted index table, see the...

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Abstract

The invention discloses a mainstream media report hot-spot analyzing system based on studying type web ontology language (OWL) modeling. The system is characterized by comprising the following functional modules: 1), an OWL ontology instance transforming module; 2), an invert index module; 3), an ontology element frequency counting module, which is used for performing the ontology element frequency counting on the OWL ontology invert index table and sequencing according to the size of the frequency; 4), an OWL seed model generating module; 5), a knowledge ontology model polymerizing module; 6), an OWL hot model counting module; 7), a news hot frequency counting module. For utilizing the method of the OWL ontology model analysis, the invention promotes the internet news hot-spot analysis to the concept hierarchy; some related hot-spot concepts are polymerized by using the relationship between the concepts to form the news hot, thereby overcoming the shortcoming due to partial hot-spot analyzing in traditional method.

Description

technical field [0001] The invention relates to a mainstream media report hotspot analysis system, which belongs to the technical field of network computers. Background technique [0002] The traditional analysis of Internet news hotspots is estimated based on the frequency of keyword groups or articles being quoted (reprinted) by other websites and queried by users. Recently, the "hotness" of some short articles can also be seen by using the statistics of the frequency of some short articles being reposted, followed and commented on Weibo. It is effective to estimate the popularity of news reports based on these keyword groups, essays, and articles, such as: the Guo Meimei incident, a two-year-old child was hit by a car and many people passed by without rescue, and so on. However, this hotspot analysis method cannot achieve concept extension and correlation analysis, such as: Guo Meimei and the Chinese Red Cross? Who benefits from Gaddafi's death? European debt and the w...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30
Inventor 王楠
Owner 江苏联著实业股份有限公司
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