METHOD AND SYSTEM FOR CONSTRUCTING DYNAMIC ONTOLOGY INSTANCE BASED ON SEMI-STRUCTURED DATA

Hereinafter the exemplary only off, the contents of the principle of the invention. Therefore one skilled in the art although the present specification the not shown or described the principle of the invention but of the invention general outline various included within the scope and invention a device can the recording operation.. Furthermore, the present specification listed in the all conditional terms and in the embodiment are in principle, of the invention general outline is appreciated only to expressly which is intended, particularly such listed in the embodiment and conditions of examples but not limited to a should understood.

Purposes aforementioned, a reviewing features and benefits of the following in connection with drawing rotating via the an clearly, the invention is in the field of the technical idea of the invention is in person with skill in the art to facilitate is may embodiment.

Furthermore, invention describes in publicly known invention associated with a description is the techniques for preventing needless subject matter of invention when a mobile station is determined to wall of the rectangular blur rotating the a to omit. Hereinafter reference to the drawing based on a text content of the a preferred embodiment of the present invention rapidly and to reduce a memory focuses..

Figure 1 shows a a are also constructing instances ontology according to one embodiment of the invention is the flow indicating method. Embodiment when a consumer reference 1 also: an ontology instances constructing the ontology instances acquisition step method, ontology instances comparing step, data refining rule definition step, includes updating step instances ontology.

First ontology instances acquisition step can attempt to acquire the attributes defined to information which is used to extract the field of the input according to a pre-determined data refining having a number 1 the inputted variable follows an input format for a number 1. value is obtained.

The present in the embodiment in ontology instance knowledge information existing in a network of the specific general outline or object which analyses the content and water, substantially such as event type as instances generating knowledge entity, instance knowledge defined between instances is, therefore, related to the. object.

I.e., the present in the embodiment used in purified instance ontology instances data is analyzed by analyzer types of structures may display a resulting knowledge is formed a instances, instance is not set, the attribute of the types, a number of which is the ontology instances format to a monitor by converting a is formed.

The present in the embodiment in creating a instance information existing in a network using an, preferably using a (semi-structured data) data semi-quantitatively. Database relational data type semi or other types of data table of shaping structures or more signal selectors coupled to the of the comb-shaped hung out against data model, capable of optimizing a are in the form of aqueous of the data. However tag, and optionally a other markers semantic certain size is spread on the adhesive the words in the text meta-divides a signal received from the broadcasting element records and fields to protect user's private life. forcibly layer.

Same data semi a to the terminal, referring to a class values included grouped together entity can take different characteristics each, insignificant not go and the order of characteristics.

Semi data a client by means increasing then appearing in programs, text and wherein a unique longer database form of data of which is at an information individual applications for exchanging mediators. in need. In object oriented database can be often data type semi-quantitatively.

Representative semi data on-line dictionary to surface, accelerating and angular velocity to the wick and fluidly producer Oh and such as online dictionary can be modified scheme is representation through line connectivity, and can be to confirm the details of.

Therefore, the present invention refers to online pre is transformed into state semi, such as that the data is subject matter of automatically extracting. In the case of documents producer self-will to the wick and fluidly, input field is defined classification page of box and and nongraphic table for recording information category consists of link is such semi state by the processing result data.

Therefore, the present in the embodiment which is defined in relation to information in their attributes are producer self-will to the wick and fluidly with info-box during contents reading can be corresponding to each item of, attribute extracting field of the input according to a pre-determined data refining rule, on a network from information the rules for extracting a a desired value or not pre-pre to direct Conference 1 rule generator process can be produced.

In other words, , attributes are thing in the with info-box during contents reading is included each attribute values are any purification the data is a rule that it becomes, parsing can be information is.

For example ' this sprout new' page 'persona information' if there are with info-box during contents reading that, 'persona information' with info-box during contents reading is' career 'as having a property capable of being utilized in pre-defined rules by employee, in values' -natal non- datedate'and' death ' vehicle speed is lower than the extracted a module for are specified in rule also is necessary may be proposed.

Therefore, instances acquisition step (S100) of ontology instances as the with info-box during contents reading for the inputted variable follows an input format number 1 number 1. value is obtained.

Furthermore, the information (S200) comparing step instances ontology additional or modified of input field attribute according to number 2 number 1 number 2 value and compares an value.

According to the above-mentioned, to the wick and fluidly with info-box during contents reading one of document function also with info-box during contents reading producer self-will name of or is changed can be change name attribute. Is such a to reduce all information, the mobile has a means for system is provided to enable a result, it is possible to. In addition each attribute value information receiving an optical pre-defined rules also since the heat analysis only after other representing manner the future notification start as to represent a feature values to extract the information opposite direction of the spring force direction is the deterioration sound may be hardly heard. The to solve a limit order. is sustained. Therefore, to recognize the attributes for the dynamic update in the embodiment a having a data refining a predetermined in a number 1 value and, change attributes according to number 2 at least one of the, finds attribute which is matched to the.

The present in the embodiment a purification of rules second arm contacts with the switch to for the dynamic update constructing instances information is used. Condition label has been of a document a quantity is modified at once even the total constructing compared to the information being having instance number of do not go. To thus established instance have altered information of checking for the category information or with info-box during contents reading a water case inferring the semantics of data semi can be.

Also refers to surface 5, for example, pre-online ' this sprout new' document (52) with info-box during contents reading present in (54) to 'career' attribute as (55) in death and date -natal non-value number 1 is recorded on a date located in a. Corresponding attribute (56) is changed so that the ' date of birth' and 'death the' when a print that allows the recorded is divided into, existing the information data refining rules, the mobile has a means for system is provided to enable separately. However in the present invention recorded on existing recorded in the machining program is a number 1 date -natal non-attribute information is a number 2 ' date of birth' and recorded on attribute, death date is' death the ' attribute recorded on. capable of confirming the.

Furthermore, data refining rule definition step (S300) which is matched to the value the number 1 number 2 number 1 rules data refining value defined the mapping value.

I.e. existing purification with info-box during contents reading recorded in the machining program defined rules with info-box during contents reading and lower attributes be established when rules herein, the data are transmitted to the client, which can be applied to, with info-box during contents reading permit addition and change of attribute, vehicles which may be itself with info-box during contents reading, this case connected to the a ontology instances.

The above-mentioned example is formed on the resultant structure not obtainable present in regular 'general information' are created on situation by with info-box during contents reading that, 'general information' with info-box during contents reading the ' date of birth' and 'death the' displays information of the, this value mating with the values of career, and records voices of users of, existing a triangle type wings' persona information 'of' career 'to effect an data refining rules and' general information date of birth the death 'of' 'and' ' to effect an data [...] composed of information for mapping between rules.

Also 6 of table such as for the inputted variable follows an input format number 1 number 1 number 2 input field attribute recorded value is changed of 360degree confirm that the user values allotted to the data number 2, number 1 number 2 rules data refining value per-value data refining rule mapping to.

Furthermore, the updating step (S400) ontology instances, additional other information attribute or modified according to number 2 input field of the number 2 position values in relation to the defined data refining rule composed a value extracted.

I.e., other field units using corresponding with info-box during contents reading in document ' date of birth' and 'death the' attribute to extract data checks that the existing the. handling dynamically process.

Also hereinafter by referring to 2, the present in the embodiment used in generating an ontology instance including a semantic web. as further described relative to method.

2 also refers to surface, ontology instantiated data entry steps pre the online method (S10), semi data separation steps (S20), data refining step (S30), ontology instances generating step includes (S40).

Online pre data entry steps of information on a network (S10) receives the steps of, disclosure of online version of file dumping is change to the latest identifying pre-online if the original data for and receives a.

Semi data separation steps on a network (S20) the property in the information representing a value according to a dividing type semi-quantitatively. The present in the embodiment includes separating an RFID circuit data semi in an input field matches a defined table-shaped information having number 1 format data and, receives on a network classification of the information from a computer with number 2 can be by format. Semi-like shape, the input from the data input terminal data capable of automatic analysis of includes separating an RFID circuit is format data number 1 to and box removal and nongraphic a format data number 2 to simply and quickly isolate a category can be constructed.

Data refining step (S30) the semi data to a predetermined data refining comply with the rules a purified liquid. Then ontology instances generating step (S40) the acid, are refined signaled for the instances are extracted from data type semi data type or attribute information of operation is set to a ontology generates instances.

Ontology is or multiple stages using instances, the present embodiment: an ontology instances constructing the method of checking for the category information or with info-box during contents reading the modified. inferring the semantics of data semi-quantitatively. In the present invention receives updated online dictionary constantly instantiated data is a set of process penetration hole while moving up and down.

Hereinafter, also 3 and 4 the above-mentioned embodiment by referring to:an ontology instances constructing a system for performing method relates to.

The present embodiment the online system for constructing instances: an ontology extracted previously, the part (100), online pre [...] (200), ontology instances generation unit (400), data refining rules analysis unit (300) includes.

The present in the embodiment online in extracted previously, the part (100) the version management system by automatic sensing in a (110) provided so that a user can listen pre (10) file dumping is disclosure of identifying change to the latest version of the system is moved data extractor (120) for pre-provided so that a user can listen the original by extracting original data database (130), and writes the data in a.

Online pre [...] (200) with the recording from the data input terminal-like form, semi automatic analysis of data capable of so as to separate the input grooves, specifically with info-box during contents reading for separating parser (210) and a category for separating parser (220) includes. Thus separated by parser with info-box during contents reading each data database (411,421) and categories are stored in.

Ontology instances generation unit (400) the semi data to a predetermined data refining comply with the rules the purifying and, signaled for the instances are extracted from data type semi data type or attribute information of operation is set to a ontology generates instances.

Also refers to surface 4, the present embodiment: an ontology instances generation unit (400) the with info-box during contents reading refiner (410), category refiner (420), integrated refining online pre database (430), instances analyzer (440), instances generator (450) may comprise an.

With info-box during contents reading refiner (410) with info-box during contents reading the database (411) in which data recorded on a with info-box during contents reading purification rules database (412) is applied purification module (413,414) is purified.

With info-box during contents reading integrated refining module (413) all with info-box during contents reading for information to, the, with info-box during contents reading-property view pair purification module (414) a particular with info-box during contents reading a predetermined period of a necessary only pair-property view performs.

Category refiner (420) the category database (421) in which data recorded on a purification rules database is (422) is applied purification module (423) is purified.

Refiner and categories with info-box during contents reading (410,420) and acrylic acid purified by this process database (430) pre online integrated refining data is recorded at instances analyzer (440) connected to another end of the second to form a knowledge types of structures may.

Instances analyzer (440) other components type the instance attribute setup process divided into pre-determined type, which works with info-box during contents reading and category-based type analyzer (443,444) is type mapping rules database (442) by applying a to the new address of the metadata instances, other attribute setup attributes mapper (445) is set and by, category with instances of integrator with info-box during contents reading (446) two establishing by results of metadata instances integrated database (447) and recorded to.

Instances generator (450) has instances metadata database (447) data ontology instances format in order to transform the ontology converter (451) and in ontology by, URI (Uniform Resource Identifier) refiner (452) is URI which can recognize that a form which for purifying, verifier instances same (453) is formed of a pressure sensor applying test a.

The database (500) instances the verified ontology instance is stored in, on-line data instances specifically established by the communication standard and extraction process attributes for classes the instances database (510) instances extraction attributes for classes online logon and other [...] or other ontology predetermined number established by the communication standard and database (520) instances other logon and the instances are stored in.

Then data refining rules analysis unit (300) has for the bows at least in a door 1 according to data refining defining rules as a step in, verifier rules (310) and rules by analyzing a redefined a rule converter (320) includes. I.e., rules verifier (310) ontology instances established via a utilizing data refining which can verify the validity of rules, rules converter (320) according to change attributes of the with info-box during contents reading the data refining of rules is redefined and level same if necessary, ontology instances constructing a.

According to the above-mentioned embodiment, generated number 1 ontology instance, additional data semi attribute or modified according to number 2 ontology instances of input field compared to rules data refining instance in ontology number 2 number 1 a defined mapping instance in ontology.

Furthermore, a low cost does not shown, the present invention according to ontology other system for constructing instances additional data semi attribute or modified according to number 2 input field of the number 2 for instances ontology defined data refining rule a ontology instances extracted further updating unit updating may include.

Or more according to the present invention, online to design a instances of the process water continuously delivered to the existing data refining the users determine a structure of basic managing for the dynamic management of regulation can be thus, processed to the entrance and for values, an instance purpose: an instrument for an endoscope.

Or more description techniques of the present invention describes illustratively event efficacy as an anti-to a modem, the present invention is in the field of the typically encountered in having knowledge of the current source from deviating from an essential element of the present invention grow within such a range that causes no various modification, change and substituted will capable.

Therefore, the present invention to a disclosure of the present invention are in the embodiment and appends a drawing and to limit the slimly is supported by the upper case and for described, such a and appends in the embodiment of the present invention by drawing slimly range of limited not. If of the present invention scope of protection which must be interpreted by, and equivalent that lie within the ranges included within the scope rights of all technical idea of the present invention should be interpreted to will.