CN104331514A - Ontology-based information optimization processing method - Google Patents
Ontology-based information optimization processing method Download PDFInfo
- Publication number
- CN104331514A CN104331514A CN201410689815.5A CN201410689815A CN104331514A CN 104331514 A CN104331514 A CN 104331514A CN 201410689815 A CN201410689815 A CN 201410689815A CN 104331514 A CN104331514 A CN 104331514A
- Authority
- CN
- China
- Prior art keywords
- priority
- data
- information
- individual
- ontology
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/26—Visual data mining; Browsing structured data
Landscapes
- Engineering & Computer Science (AREA)
- Databases & Information Systems (AREA)
- Theoretical Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to an ontology-based information optimization processing method. The processing method comprises the following steps: building ontology to generate basic data; performing property priority setting on the data; then, when individual display is performed on the basic data with set priority, displaying ontology information according to the priority; displaying according to the priority when tabular display is performed on individual information, wherein the ontology is clear description of the conceptualization and the structuralization of the objective world, and is used for revealing the meaning of knowledge and the connection between the knowledge; one of ontology models comprises classes, object properties, data attributes, rules and the ontology. The ontology-based information optimization processing method disclosed by the invention has the beneficial effects that the object properties and the data attributes in the ontology are refined and organized through priority setting to help users to reconstruct, memorize and apply the knowledge, and retrieved information is not simply listed or displayed massively.
Description
Technical field
The present invention relates to a kind of Advance data quality disposal route based on body.
Background technology
Knowledge Visualization research more and more becomes trend, and Knowledge Visualization refers to all construction and diagram means passing on complicated knowledge of can being used for, and is conceived to the acquisition of knowledge, transmission, interchange etc.But Knowledge Visualization needs the problem considering ontology information amount while realizing.Time a domain body has that between huge class, individuality, object properties and data attribute and thousands of individual data items Information Ontology, relation is complicated, check that the relative individuality of certain individual possibility is very many, the attribute information page of itself is quite a lot of.When user carry out individual information graphical model check time, the full detail of body shows the image caused and blocks up and have impact on visual experience degree one by one, and too many limit and node also only can make user feel at a loss as to what to do; The common list of instant use represents information individual in body, numerous rambling data display also can allow user be difficult to catch information characteristics and emphasis, and when retrieving, the unordered of individual data items presents the efficiency also greatly reducing user search useful information.
Summary of the invention
For the weak point existed in the problems referred to above, the invention provides a kind of Advance data quality disposal route based on body.
For achieving the above object, the invention provides a kind of this disposal route of Advance data quality disposal route based on body to comprise the following steps:
Step 101: build Ontology learning master data;
Step 102: attribute priority setting is carried out to described data;
Step 103: when more individual body display being carried out to the described master data setting priority, according to priority show individual information;
Step 104: according to priority show when carrying out list display to individual information.
Improve further as the present invention, in a step 101: described body is to objective world generalities and structurizedly clearly describes, disclose the contact between the implication of knowledge own and knowledge, one of them ontology model comprises class, object properties, data attribute, rule, individuality.
Improve further as the present invention, in a step 102: when building body in systems in which, each object properties and data attribute have the priority given tacit consent to, but same attribute is different to inhomogeneous importance, the important information priority of class is set according to actual conditions, in class details, configures the priority of object properties and data attribute.
Improve further as the present invention, in step 103: in individual body display, when checking the information of single individuality, the object properties information that the main display priority of pel is higher and data attribute information, also check this individual full detail by button lists of links.
Improve further as the present invention, at step 104: carry out individual data items list and show when checking individual information, the height that individual object properties information and data attribute information are according to priority arranged is to show data message.
Beneficial effect of the present invention is: the object properties in body and data attribute are undertaken refining, organizing by priority setting, help user's reconstruct by this way, remember and apply these knowledge, the information after retrieval neither simply the enumerating and show of magnanimity information.
Accompanying drawing explanation
Fig. 1 is the FB(flow block) one of a kind of Advance data quality disposal route based on body of the present invention;
Fig. 2 is the FB(flow block) two of a kind of Advance data quality disposal route based on body of the present invention.
Embodiment
Embodiment 1, as shown in Figure 1, described a kind of Advance data quality disposal route based on body, this disposal route comprises the following steps:
Step 101: build Ontology learning master data;
Step 102: attribute priority setting is carried out to described data;
Step 103: when more individual body display being carried out to the described master data setting priority, according to priority show individual information;
Step 104: according to priority show when carrying out list display to individual information.
First object properties high for important priority and data attribute information are shown when individual details are in row.Important knowledge point is preferentially presented, improves the speed of user's acquisition and filter information.
Further, described body is to objective world generalities and structurizedly clearly describes, and disclose the contact between the implication of knowledge own and knowledge, one of them ontology model comprises class, object properties, data attribute, rule, individuality.
Further, when building body in systems in which, each object properties and data attribute have the priority given tacit consent to, but same attribute is different to inhomogeneous importance, the important information priority of class is set according to actual conditions, in class details, configures the priority of object properties and data attribute.The important information priority display of class is set according to actual conditions.Several the attribute informations that when individual information and knowledge query results are shown, always first display priority is higher.
Further, in individual body display, when checking the information of single individuality, the object properties information that the main display priority of pel is higher and data attribute information, also check this individual full detail by button lists of links.Determine which attribute information of display, after setting the priority of object properties and data attribute, reset a threshold value, when attribute priority exceedes threshold value, determine that this attribute is display properties, remaining is for hiding attribute.
Further, carry out individual data items list and show when checking individual information, the height that individual object properties information and data attribute information are according to priority arranged is to show data message.Easy-to-look-up useful information, simultaneously also directly carries out details to other individualities check by linking.
Embodiment 2, as shown in Figure 2, first open and start key and build body, default property processed is being carried out by building the data generated after body, in default property priority, object properties priority and setting data attribute priority are being set, only showing the process of priority height attribute the data after process are carried out volume visualization, only showing that the data after the process of priority height attribute are carrying out the display of list of persons attribute prioritization, finally terminate by individual volume visualization.
The foregoing is only the preferred embodiments of the present invention, be not limited to the present invention, for a person skilled in the art, the present invention can have various modifications and variations.Within the spirit and principles in the present invention all, any amendment done, equivalent replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (5)
1. based on an Advance data quality disposal route for body, it is characterized in that: this disposal route comprises the following steps:
Step 101: build Ontology learning master data;
Step 102: attribute priority setting is carried out to described data;
Step 103: when more individual body display being carried out to the described master data setting priority, according to priority show individual information;
Step 104: according to priority show when carrying out list display to individual information.
2. the Advance data quality disposal route based on body according to claim 1, it is characterized in that, in a step 101: described body is to objective world generalities and structurizedly clearly describes, disclose the contact between the implication of knowledge own and knowledge, one of them ontology model comprises class, object properties, data attribute, rule, individuality.
3. the Advance data quality disposal route based on body according to claim 1, it is characterized in that, in a step 102: when building body in systems in which, each object properties and data attribute have the priority given tacit consent to, but same attribute is different to inhomogeneous importance, the important information priority of class is set according to actual conditions, in class details, configures the priority of object properties and data attribute.
4. the Advance data quality disposal route based on body according to claim 1, it is characterized in that, in step 103: in individual body display, when checking the information of single individuality, the object properties information that the main display priority of pel is higher and data attribute information, also check this individual full detail by button lists of links.
5. the Advance data quality disposal route based on body according to claim 1, it is characterized in that, at step 104: carry out individual data items list and show when checking individual information, the height that individual object properties information and data attribute information are according to priority arranged is to show data message.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410689815.5A CN104331514A (en) | 2014-11-25 | 2014-11-25 | Ontology-based information optimization processing method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201410689815.5A CN104331514A (en) | 2014-11-25 | 2014-11-25 | Ontology-based information optimization processing method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104331514A true CN104331514A (en) | 2015-02-04 |
Family
ID=52406241
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201410689815.5A Pending CN104331514A (en) | 2014-11-25 | 2014-11-25 | Ontology-based information optimization processing method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104331514A (en) |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060116994A1 (en) * | 2004-11-30 | 2006-06-01 | Oculus Info Inc. | System and method for interactive multi-dimensional visual representation of information content and properties |
| CN102254017A (en) * | 2010-07-21 | 2011-11-23 | 微软公司 | Intelligent acquiescence for data visualization |
| CN103020441A (en) * | 2012-12-06 | 2013-04-03 | 国家电网公司 | Use-case-based tacit knowledge visualization method |
-
2014
- 2014-11-25 CN CN201410689815.5A patent/CN104331514A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20060116994A1 (en) * | 2004-11-30 | 2006-06-01 | Oculus Info Inc. | System and method for interactive multi-dimensional visual representation of information content and properties |
| CN102254017A (en) * | 2010-07-21 | 2011-11-23 | 微软公司 | Intelligent acquiescence for data visualization |
| CN103020441A (en) * | 2012-12-06 | 2013-04-03 | 国家电网公司 | Use-case-based tacit knowledge visualization method |
Non-Patent Citations (2)
| Title |
|---|
| 牛振州: "Windows运行过程的可视化研究", 《中国优秀硕士学位论文全文数据库 信息科技辑》 * |
| 郭小朝 等: "歼击机座舱通用显示信息及其优先级的确定", 《中华航空航天医学杂志》 * |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107066537A (en) | Hot news generation method, equipment, electronic equipment | |
| DE102017121712A1 (en) | Intelligent answers using a device-internal model | |
| CN102567304B (en) | Filtering method and device for network malicious information | |
| TWI501097B (en) | System and method of analyzing text stream message | |
| US20190151758A1 (en) | Unique virtual entity creation based on real world data sources | |
| CN104820677B (en) | A kind of subject level methods of exhibiting and system | |
| US20150310643A1 (en) | Methods and Software for Visualizing Data By Applying Physics-Based Tools To Data Objectifications | |
| US20160210021A1 (en) | Computer-Implemented Tools for Exploring Event Sequences | |
| CN105393200A (en) | Interference data acquisition method and device | |
| US20230080230A1 (en) | Method for generating federated learning model | |
| CN106126636B (en) | A kind of man-machine interaction method and device towards intelligent robot | |
| CN108228571A (en) | Generation method, device, storage medium and the terminal device of distich | |
| US8972242B2 (en) | Visual analysis of phrase extraction from a content stream | |
| CN106030570A (en) | Surfacing relationships between datasets | |
| Sheth et al. | Semantic filtering for social data | |
| CN107368506B (en) | Unstructured data analysis system and method | |
| Soares et al. | Visualizing multidimensional data in treemaps with adaptive glyphs | |
| CN112132980B (en) | Mind map operation method for psychological consultation | |
| JP2019212278A (en) | Accessible machine learning | |
| US9747375B2 (en) | Influence personal benefit from dynamic user modeling matching with natural language statements in reviews | |
| CN104331514A (en) | Ontology-based information optimization processing method | |
| Marino | Reading Culture through Code | |
| CN104243201B (en) | Network equipment detection use-case corresponds to the storage method and system of topological diagram | |
| US9940395B2 (en) | Influence business benefit from user reviews and cognitive dissonance | |
| CN105068992B (en) | A kind of search result display methods and device |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20150204 |
|
| RJ01 | Rejection of invention patent application after publication |