KR101264898B1 - Apparatus and method for extracting prospective business items from information of technology and market trends - Google Patents

Abstract

The present invention relates to an apparatus and method for extracting and presenting promising commercialized items to individual operators based on technology and market information, and displaying the supporting data together.
Prospective commercialized item extraction apparatus according to an embodiment of the present invention is a data collector for collecting the structured or unstructured data from a web page or an external database, a data storage unit for storing the collected data and based on the language pattern or frequency from the stored data It includes a data analysis unit to extract the prospective commercialization items to generate a ranking result, and to quantify the relevant data of the promising commercialization items as the basis data.

Description

Apparatus and method for extracting prospective business items from information of technology and market trends}

The present invention relates to an apparatus and method for extracting and presenting promising commercialized items to individual operators based on technology and market information, and displaying the supporting data together.

The conventional method of extracting a promising commercialized item was made through the investigation of marketability and technology development status of each commercialized item. It is often insufficient in terms of manpower, period, and cost in order to determine the feasibility of business by investigating each commercialized item at the individual or individual company level for a plurality of commercialized items that are socially issued. As a result, individuals or individual companies that want to obtain information on promising commercialized items often only conduct research on limited items, and even in this case, it is difficult to obtain sufficient data.

In addition, the above method is possible only when there is information or a keyword about the commercialization item, and when there is no information about this, it is difficult to know where and how to determine the commercialization item. Large corporations are pioneering many business areas and possess sufficient information on their own, which makes it difficult to research, analyze, and select new business items. Because most of them. It is also difficult to keep an eye on how business is practical and how market conditions are changing, even with information.

As described above, the existing commercialized item extraction apparatus or method had a problem that the information on the commercialized item for which the individual entrepreneur or the individual company was in issue was required, and it required a lot of time and cost to generate supporting data. Have

In order to solve the above problems of the present invention, the technical problem to be achieved in the present invention is a promising commercialized item extraction apparatus and method, so that it is possible to present a promising commercialized item to the user without suffering the above-described problems. It is.

In order to solve the above technical problem, a prospective commercialized item extraction apparatus according to an embodiment of the present invention is a data collection unit for collecting the structured or unstructured data from a web page or an external database, a data storage unit for storing the collected data, It includes a data analysis unit for generating the ranking results by extracting the promising commercialized items based on the language pattern or frequency from the stored data, and digitizing the relevant data of the promising commercialized items as the basis data.

In addition, the prospective business extraction apparatus according to an embodiment of the present invention is characterized in that it further comprises a visualization unit for displaying the ranking results and evidence.

In addition, the prospective business extraction apparatus according to an embodiment of the present invention is characterized in that it further comprises a data management unit for updating the data of the collected promising commercialization items.

In addition, the prospective business extracting apparatus according to an embodiment of the present invention is characterized in that the basis data includes at least one of time series frequency data, marketability data, technical competitiveness data, human network data, or institutional network data.

In addition, the prospective business extraction apparatus according to an embodiment of the present invention is characterized in that the language pattern includes at least one of a demand pattern, a technology pattern, or an environment pattern type, and extracts a promising commercialization item based on this.

In addition, in the prospective business extraction apparatus according to an embodiment of the present invention, the environmental pattern is a culture / environmental threats pattern, a threat of substitution pattern, a threat of entry pattern, or an internal competition. (Internal Rivalry) characterized in that it comprises at least one of the patterns.

In order to solve the above technical problem, a prospective business extraction method according to an embodiment of the present invention is to collect the structured or unstructured data from a web page or an external database, storing the collected data, language patterns from the stored data Or generating a ranking result by extracting the promising commercialized items based on the frequency and generating the evidence data by quantifying the related data of the promising commercialized items.

In addition, the prospective business extraction method according to an embodiment of the present invention is characterized in that it further comprises a visualization step of displaying the ranking results and supporting data.

In addition, the prospective business extraction method according to an embodiment of the present invention is characterized in that it further comprises the step of updating the data of the collected promising commercialization items.

In addition, the prospective business extraction method according to an embodiment of the present invention is characterized in that the basis data includes at least one of time series frequency data, marketability data, technical competitiveness data, human network data or institution network data.

In addition, the prospective business extraction method according to an embodiment of the present invention is characterized in that the language pattern includes at least one of a demand pattern, a technology pattern, and an environment pattern type, and extracts a promising commercialization item based on this.

In addition, the prospective business extraction method according to an embodiment of the present invention, the environmental pattern is a culture / environmental threats (Culture / Environmental Threats) pattern, Threat of substitution pattern, Threat of Entry pattern or internal competition (Internal Rivalry) characterized in that it comprises at least one of the patterns.

According to an embodiment of the present invention, it is possible to extract promising commercialization items and present evidence data on them.

According to an embodiment of the present invention, the evidence data distributed in a web page or the like may be collected to present a promising commercialization item to the user.

According to an embodiment of the present invention, the promising commercialization item may be presented even before the user searches for the keyword related to the promising commercialization item.

1 is a view showing an apparatus for extracting a prospective commercialization item according to an embodiment of the present invention.
2 is a diagram illustrating a data analyzer according to an exemplary embodiment of the present invention.
3 is a diagram illustrating a screen for providing a prospective commercialized item extraction web service according to an embodiment of the present invention.
4 is a flowchart illustrating a method for extracting a prospective commercialized item according to an embodiment of the present invention.

Hereinafter, embodiments of the present invention will be described in detail with reference to the accompanying drawings and accompanying drawings, but the present invention is not limited to or limited by the embodiments.

As used herein, terms used in the present invention are selected from general terms that are widely used in the present invention while taking into account the functions of the present invention. However, these terms may vary depending on the intention of a person skilled in the art, custom or the emergence of new technology. In addition, in certain cases, there may be a term arbitrarily selected by the applicant, in which case the meaning thereof will be described in the description of the corresponding invention. Therefore, it is intended that the terminology used herein should be interpreted based on the meaning of the term rather than on the name of the term, and on the entire contents of the specification.

The present invention improves an existing method for deriving promising commercialized items through keyword search, and proposes an apparatus and method for suggesting promising commercialized items using data and other data of a web page or a database by the system itself. Through this, an individual or an individual company can be provided with information on promising commercialized items that are socially issued or marketable at that time without having to search for keywords related to promising items.

1 is a view showing an apparatus for extracting a prospective commercialization item according to an embodiment of the present invention.

The promising commercialized item extraction apparatus 1030 of the present invention uses the technology trend information or the market trend information related data of the web page 1010 or the external database 1020. The prospective commercialized item extraction apparatus 1030 may include a data collector 1031, a data storage 1032, a data analyzer 1033, a data manager 1034, and / or a visualization 1035.

The data collector 1031 may function as a web crawler and collect technology and market trend information from a web page. It is also possible to collect information stored in an external database rather than a web page. In other words, it is possible to collect structured data that is formatted and stored according to a format specified in an external database, as well as to collect various types of unstructured data that can be collected on a web page regardless of the data type.

The collected information is stored in the data storage 1032. The data storage unit may store information collected from web pages or external data as it is. In addition, it is also possible to store the information in a data format analyzed and organized by the data analysis unit 1033 or the data management unit 1034 to be described below.

The data analysis unit 1033 extracts promising commercialized items based on the statistics-based search for calculating the frequency of occurrence of a specific word from the data stored in the data storage 1032 or using the pattern-based search using language patterns. Can be ranked.

In the case of using a statistical-based search that calculates the frequency of appearance, it is possible to analyze how often a particular commercialized item is mentioned in data collected during a certain period of time, thereby analyzing the business feasibility of the item or related industry interest.

The data analysis unit 1033 analyzes and extracts the commercialization item and the time of creation or presentation of the data from the data stored in the data storage unit 1032 and from this, how many data the commercialization item is mentioned within a specific period of time. Can be analyzed.

In the case of such an appearance frequency, it is possible to determine and analyze the analysis period, and to select a specific field and calculate the frequency of occurrence in the field. The business item with the highest frequency of appearance occupies the highest rank.

In addition, the statistical-based search of the present invention does not use the appearance frequency itself, but it is possible to determine the ranking by calculating the increase rate of each commercialized item based on the appearance frequency data. The ranking based on the growth rate divides a specific period into N sections and calculates an increase rate of the frequency of appearance in each section to rank each commercialized item according to the prospect.

In the case of a pattern-based search using a language pattern to extract promising commercialized items, each item may be ranked according to the prospects based on demand patterns, technology patterns, and environment pattern types. When words belonging to each pattern appear in the data collected by the data collection unit 1031 in relation to the commercialization item, a method of increasing the probability of the pattern is used.

The demand pattern quantifies the prospect of each item based on the data on which words related to demand appear. The demand patterns can be further subdivided into two categories: demand trend patterns, demand patterns at demand sources, and market patterns.

For example, the demand trend pattern may include words such as trend and trend, and the demand pattern at the source of demand may include words such as demand and business opportunity, and the market pattern may include market profit, market opportunity, market size, and business feasibility. , Growth, growth, sales, and so on. Each of these words can be the basis for supporting the demand patterns in which they are included.

The environmental pattern determines the promisingness of each item based on data on which words related to the environment appear. The environmental patterns can be further subdivided into three categories: Culture / Environmental Threats, Threat of substitution, Threat of Entry, and Internal Rivalry.

For example, cultural / environmental threat patterns may include words such as subsidies, support ($ 100 million / $ 100 million), new growth drivers, mid- to long-term roadmaps, policy support, mandatory installation, and regulatory regulation. The substitute threat pattern may include words such as substitute material, and the entry threat pattern may include words such as entry barriers. In addition, internal competition patterns may include words such as market creation.

The description pattern determines the prospect of each item based on data on which words related to the description appear. Technology patterns include words such as% efficiency, new technology, promising technology, future technology, innovation technology, technology innovation, trends, existing technology, competitive technology, floating technology, and so on. It can be used as a basis for promising quantification.

The data analyzer 1033 may analyze a commercialization item of data including the words belonging to each pattern described above, and extract and rank promising items based on language patterns.

The method of extracting promising items from the pattern-based search uses a ranking method using technology competitiveness index or annual average growth rate.

The technology competitiveness index can calculate the technology competitiveness index by averaging the evaluation indices according to the evaluation factors obtained through information extraction, and rank each commercialized item according to the prospects.

Evaluation factors are shown in the following table.

Evaluation factor Synonyms or related words Assessment terminology Technical demand demand Increase technology Technology, technology, demand related technology Development, various, new, development, competitiveness, applicable marketability Market scale, market opportunity, business opportunity, business, commercialization, feasibility, advancement, market growth Excavation, growth, rod, zoom in, provide, sufficient, quite Technology cost Development cost, development cost Saving, reduction, cheap Technology attraction Attention, Potential, Importance Sudden rise, recognition, knit, high, maximization, increase Technology water soluble Installation, dissemination, application, equipment, reflection, introduction, usability, introduction, dissemination rate Mandatory, increase, promote, spread, need, acceleration Technology development Power generation Propel, fast, pull Technical productivity Mass production, Commercialization Plan, goal Technology investment Investment amount, investment scale, subsidies, construction Increase, approve, receive Technology innovation New technology, research, development Success, enlarge, new Technology growth M & A, growth, growth, new growth, growth rate Rapid, promotion, promotion, continue, benefit Technical Competitiveness Price Competitiveness, Market Competitiveness, Competitiveness Excellence, Improvement Technology profitability Profitability, Sales, Yield, Expected Revenue, Net Income, Expected Return, Sales Growth, Profit Growth, Economic Value Considerable, creation Technology economy Economical, low cost, efficient, efficient application Amazing, achieving, first, increase, benefit

The data analysis unit 1033 calculates an evaluation index for each evaluation element located in the first column of the table. In this case, the calculation method is a method of increasing the evaluation index when each evaluation element, its similar words, and related words exist in the collected data and the evaluation description term located in the third column of the table adjacent to the word exists.

At this time, the evaluation element and its analogous words, related words and evaluation description terms do not necessarily need to be adjacent to each other, so that the user or administrator sets a range to use the evaluation description terms located within a set number of words.

As an example of the above method for calculating the evaluation index, if the collected data indicates that "the market competitiveness of photovoltaic technology in 2012 has been greatly improved," the "technology of the photovoltaic" commercialization item There is a term for 'enhancement' in terms of 'competition'. Therefore, the evaluation index of the technology competitiveness evaluation factor of the commercialized item increases. After evaluating the evaluation factor evaluation index for each commercialized item for the data collected in this way, the technical competitiveness index of the commercialized item can be obtained as an average value.

In the ranking using the compound annual growth rate (CAGR), the following equation is used.

Here, V (t0) means a growth rate value of the starting point to investigate the annual average growth rate, and V (tn) means a growth rate value of the end point. In addition, tn-t0 means the value calculated by the period of a year to investigate the annual average growth rate.

Therefore, after obtaining a growth rate value in the collected data, it is possible to calculate the annual average growth rate for each item through the above formula and rank according to each result value.

The data analysis unit 1033 may extract and rank promising commercialization items as described above, and may quantify the related data of the promising commercialization items and document the statistics. In other words, the present invention is not limited to searching for a promising commercialized item, and may provide the user with the information about marketability or technical competitiveness related to the prospect of the item through the visualization unit 1035.

The data analysis unit 1033 uses the appearance frequency, growth rate, technical competitiveness index, or annual average growth rate for each commercialized item obtained in the ranking operation to document the evidence, and provides the user with the visualization unit 1035 to commercialize the promising business. Evidence of the selection of items can be presented and reliability can be increased.

It is also possible to provide the original text itself as evidence for the commercialization item without going through the documentation. In addition to the information stored in the data format analyzed and organized by the data analysis unit 1033 or the data management unit 1034, the data storage unit 1032 stores the original text of the external data collected by the data collection unit 1031 as it is. It is possible to provide the original text itself to the user as supporting data. Through this, the user can check the original text itself in addition to the analysis and cleanup data, thereby increasing the user's confidence in the analysis data of the promising commercialized item extraction device, and delivering accurate data to the user.

This allows you to generate supporting data for each commercialized item and, if the user requires detailed data for a specific commercialized item, improves the user's confidence in the results of the analysis by presenting quantitative and quantitative supporting data. The effect can be obtained.

The data management unit 1034 controls the data collection unit 1031 to collect the latest data as the basis data for extracting the promising commercialization item. Also, the data manager 1034 registers the result analyzed by the data analyzer 1033 and controls the data manager 1034 to be displayed by the visualization unit 1035.

The registration of the analysis result is a task for expressing the result analyzed by the data analysis unit 1033 in the visualization unit 1035. The data management unit 1034 organizes the data analysis results according to promising commercialization item rankings, and processes the data analysis results into information for presentation to the user in the visualization unit 1035 by linking the basis data related to each item.

The visualization unit 1035 displays the result data analyzed by the data analysis unit 1033 and registered by the data management unit 1034 to the user. The user may be provided with a list of promising commercialized items displayed by the visualization unit 1035 through the promising commercialized item extraction web service.

The user may receive a plurality of promising commercialized items extracted by the promising commercialized item extracting device described above together with the ranking through the promising commercialized item extraction web service 1040, and thereby may obtain item information about the new business.

As described above, the promising commercialized item extracting apparatus proposed by the present invention does not require a user's input of a search word or knowledge of a specific commercialized item, and based on the latest data collected, the most promising commercialized item is selected. It is possible to present. In addition, by collecting data periodically or non-periodically, it is possible to continuously and continuously track the recent social issues in line with market conditions or technological developments.

2 is a diagram illustrating a data analyzer according to an exemplary embodiment of the present invention. The data analysis unit of the present invention includes a search engine 2011 and an inference engine 2012.

The search engine (2011) searches the stored data to calculate the frequency of appearance of promising commercialization items and digitizes the evidence data using language patterns. Through this, we generate evidence data to map the result graph of marketability analysis, technology competitiveness analysis, market size analysis, growth rate analysis, sales analysis among visualization data to be provided to users.

The inference engine (2012) searches the stored data and builds the character and institution ontology for promising commercialization items.

The inference engine 2012 may generate person relation network information or institution network information. The person relation network refers to the relationship between those who are related to the authority, developers, investors, etc. for the commercialized item. In addition, the institutional network refers to related organizational information such as relevant government agencies, investment companies, technology leaders, starter companies, equipment manufacturing companies or their subcontractors for the commercialization items.

Person relationship and institutional network information may be used when a user is interested in a specific commercialized item and wants to commercialize the item. If the extraction of promising commercialized items is merely presenting the commercialized items, it is necessary to investigate data on the items and to investigate related companies and institutions in order to commercialize them. This is a double burden in terms of time and cost. Since the present invention provides such personal relationship and institutional network information at the same time as the extraction of the commercialized item, it is possible to provide an effect that allows the user to quickly commercialize when the user decides to commercialize the item.

3 is a diagram illustrating a screen for providing a prospective commercialized item extraction web service according to an embodiment of the present invention.

The promising commercialized item extraction web service simultaneously displays the promising commercialized item ranking result 3010 based on statistical search and the ranking result 3020 based on pattern based search. Each ranking result may be limited to a period or a field to provide detailed ranking results for a region desired by a user.

For example, you can obtain information on commercialized items that have been recently issued rapidly by limiting the period to one week, and identify the long-term and overall trend of commercialized items by limited to one year. Sector-specific limitations also enable new commercialized items to be searched for within individual business areas. On the contrary, if it is determined that the current business area is already saturated, it is possible to extract the ranking result except for the specific area.

The in-depth analysis 3030 screen includes time series frequency data 3031, marketability / competition data 3032, and / or textual viewing data 3033.

The time series frequency data 3031 shows the frequency and cumulative frequency of each item for a designated time. Here, the frequency means the frequency in which the corresponding item appears in the data within the designated period among the collected data, and the cumulative frequency means the sum of the frequencies for each period. Frequency can be expressed as a bar graph, and cumulative frequency can be expressed as a line graph. In addition, when a plurality of commercialized items are selected, the time series frequency data 3031 may be separately displayed in the same graph for each item.

The user can grasp the trend of each commercialized item by year through the time series frequency data 3031 visualized as a graph, and the frequency can be compared among a plurality of commercialized items, and thus the user can use the evidence as a basis for determining the commercialized item. have.

The marketability / competitiveness data 3032 may be expressed as a marketability analysis graph indicating a market size of each commercialization item and a competitiveness analysis graph indicating competitiveness. The marketability analysis graph shows the market size by year of each commercialized item. Competitiveness analysis graphs quantify marketability, technology, technology, technology acceptability and / or technical demand. Similar to the time series frequency data 3031, the marketability / competition data 3032 can also be displayed separately in one graph for each item when a plurality of commercialized items are selected.

The user can check the market size or competitive value of each commercialized item through the marketability / competition data 3032 visualized in a graph, and can receive a comparative advantage between a plurality of commercialized items.

Original text data 3033 may provide the user with the title and some original text of the external data material used to extract each commercialized item. The user can find the original text of the relevant material that is the basis for extracting each commercialized item without searching separately.

Such web services can be provided in separate domains, but it is also possible to provide promising commercialized item extraction services in connection with portal sites.

For example, if a word indicating a promising commercialization item is included in an article or a document of a portal site, the above service may be provided by clicking it. If the word is clicked, the user can provide information such as marketability and sales for the promising commercialized item by presenting the basis data as shown in FIG. 3 together with the ranking diagram to which the item belongs.

4 is a flowchart illustrating a method for extracting a prospective commercialized item according to an embodiment of the present invention.

The data collector collects a web document or an external database document from a web page or an external database (S4010). Data collected here is collected without distinguishing the structured data or unstructured data.

The data collected above is stored by the data storage unit (S4020). The data storage unit is in the form of a database, and can store not only the collected web documents and external documents but also the data analysis results described below.

The stored data are classified by the automatic document classification process and the data analysis and promising commercialized item extraction step collected by the data analysis unit is performed (S4030). This step analyzes the data related to individual commercial items from the structured or unstructured external documents and web documents collected. In this step, each commercialized item information is extracted and ranked through a statistical-based search or a pattern-based search method.

In the case of statistics-based search, ranking results are generated by calculating statistics such as the appearance frequency and the increase rate of the appearance frequency for each commercialized item. In the case of pattern-based search, data on technical competitiveness or marketability is analyzed using language patterns, and then ranking results are generated based on this.

Search engines and inference engines are used to generate these ranking results, and the search engines are responsible for the frequency data and marketability / competition data among the evidence data for promising commercialized items. In charge of.

When the ranking result generation for each commercialization item is completed, the result data is visualized (S4040). The result data of the present invention may include not only ranking for promising commercialization items but also supporting data supporting the ranking of each commercialization item.

Evidence data organized by the two engines supports the ranking results for promising commercialization items by the visualization unit, thereby providing an effect of improving the reliability of ranking results.

As described above, the method and apparatus for extracting the promising commercialization item of the present invention provides the general user with the most promising commercialization item at this point in time, so that the user is provided with the promising commercialization item even if the user does not have any knowledge of the relevant field. The effect can be confirmed in real time. As a result, the present invention can provide a reliable and promising commercialized item extraction service to individuals or companies who want to start a new business.

While the invention has been shown and described with reference to certain preferred embodiments thereof, it will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims. This is possible. Therefore, the scope of the present invention should not be limited by the described embodiments, but should be determined by the equivalents of the appended claims, as well as the appended claims.

Description of the symbols for the main parts of the drawings is as follows.
1010: Web Page 1020: External Database
1030: promising commercialized item extraction device 1031: data collection unit
1032: data storage unit 1033: data analysis unit
1034: data management unit 1035: visualization unit
1040: Promising Commercialization Item Extraction Web Service

Claims (12)

A data collection unit collecting the structured or unstructured data from a web page or an external database;
A data storage unit for storing the collected data; And
A data analysis unit for generating a ranking result by extracting promising commercialization items based on the language pattern of the stored data, wherein the language pattern includes at least one of a demand pattern, a technology pattern and an environment pattern type,
The data analysis unit determines whether the language pattern is included in the stored data, extracts the promising commercialized items, and determines whether a predetermined evaluation factor exists for the extracted promising commercialized items to calculate a technical competitiveness index. Generate the ranking result according to the calculated technical competitiveness index;
The technical competitiveness index is determined as an average value of the evaluation index calculated according to the evaluation factor,
The evaluation element includes a basic evaluation element, a synonym or related word, and an evaluation description term,
The data analysis unit is a prospective commercialized item extraction apparatus, characterized in that to generate the basis data by digitizing the relevant data of the promising commercialization item. The method of claim 1,
The promising commercialized item extracting apparatus further includes a visualization unit displaying the ranking result and the evidence data. The method of claim 1,
The promising commercialized item extracting apparatus further includes a data management unit for updating data of the collected promising commercialized items. The method of claim 1,
The evidence data may include at least one of time series frequency data, marketability data, technology competitiveness data, person network data, and institution network data. The method of claim 1,
The data analysis unit first determines whether the basic evaluation element, the similar word, or the related word exists with respect to the promising commercialization items, and if the basic evaluation element, the similar word, or the related word exists, the evaluation description term within a predetermined number of words. And determining whether an index exists of the promising commercialized items according to the determination result. The method of claim 1,
The environmental pattern includes a promising commercialization including at least one of a Culture / Environmental Threats pattern, a Threat of substitution pattern, a Threat of Entry pattern, and an Internal Rivalry pattern. Item extraction device. A data collecting unit collecting the structured or unstructured data from a web page or an external database;
A data storage unit storing the collected data;
Generating a ranking result by a data analyzing unit extracting promising commercialization items based on the language pattern of the stored data; And
As the step of generating the base data by digitizing the relevant data of the promising commercialization item,
The language pattern includes at least one of a demand pattern, a technology pattern, and an environment pattern type.
Generating a ranking result by extracting promising commercialization items based on the language pattern of the stored data;
Determining whether the language pattern is included in the stored data and extracting the promising commercialization items;
Calculating a technical competitiveness index by determining whether a predetermined evaluation factor exists for the extracted promising commercialization items; And
Generating the ranking result according to the calculated technical competitiveness index, wherein the technical competitiveness index is determined as an average value of the evaluation index calculated according to the evaluation factor, and the evaluation factor is a basic evaluation factor, a synonym, or a related word. And evaluating description terminology. 8. The method of claim 7,
The promising commercialization item extraction method further includes a visualization step of displaying a ranking result and the base material by the visualization unit. 8. The method of claim 7,
The promising commercialized item extracting method further comprises updating a data of the promising commercialized items collected by the data management unit. 8. The method of claim 7,
The evidence data may include at least one of time series frequency data, marketability data, technical competitiveness data, human network data, and institutional network data. 8. The method of claim 7,
Determining whether there is a predetermined evaluation factor for the extracted promising commercialization items, calculating the technical competitiveness index,
First determining, by the data analysis unit, whether the basic evaluation factor, the similar word, or the related word exists for the promising commercialization items;
Determining whether the evaluation description term exists within a predetermined number of words when the basic evaluation element, the similar word, or the related word exists; And
And calculating an evaluation index of the promising commercialized items according to the determination result. 8. The method of claim 7,
The environmental pattern includes a promising commercialization including at least one of a Culture / Environmental Threats pattern, a Threat of substitution pattern, a Threat of Entry pattern, and an Internal Rivalry pattern. How to extract items.

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