CN103324790A - Ontology model establishment method and device of business process - Google Patents
Ontology model establishment method and device of business process Download PDFInfo
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- CN103324790A CN103324790A CN2013102184096A CN201310218409A CN103324790A CN 103324790 A CN103324790 A CN 103324790A CN 2013102184096 A CN2013102184096 A CN 2013102184096A CN 201310218409 A CN201310218409 A CN 201310218409A CN 103324790 A CN103324790 A CN 103324790A
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Abstract
The invention provides an ontology model establishment method and device of a business process. The ontology model establishment method comprises dividing the business process into a plurality of processes, distributing process identifications for the business process and distributing a process identification for every process; establishing mapping relations between the process identifications and every process identification and sequential relations between the process identifications; distributing input data identifications and output data identifications for input data and output data of every process; establishing first input mapping relations between every process identification and corresponding input data identifications and first output mapping relations between every process identification and corresponding output data identifications; distributing an execute mechanism identification and a corresponding operation identification for an executing mechanism of every process; establishing mapping relations among the execute mechanism identifications, the operation identifications and the process identifications. The ontology model establishment method and device of the business process can be used for guiding an establishing process of an ontology model of the business process and achieving the development of a domain ontology.
Description
Technical field
The present invention relates to areas of information technology, relate in particular to a kind of ontology model method for building up and device of operation flow.
Background technology
Body is a kind of for describing in the different application field, and the set of the phylogenetic relationship between business and the business is the expression of professional Relations Among between descriptive system.
In the prior art, the foundation of ontology model all is for the different application field, lacks unified standard or criterion, and therefore, the ontology model of each application can't be applied to other field.
Summary of the invention
The invention provides a kind of ontology model method for building up and device of operation flow, in order to the process of setting up of the ontology model of service guidance flow process.
On the one hand, the invention provides a kind of ontology model method for building up of operation flow, comprising:
Operation flow is divided into a plurality of processes, and is described flow process allocation flow sign and is each described course allocation process identification (PID);
Set up the mapping relations between described process identification and each the described process identification (PID), and set up the sequential relationship between the described process identification (PID);
Analyze input data and the output data of each described process, and be described input data and described output data allocations input Data Identification and the output Data Identification of each described process;
Set up the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and set up first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations;
Determine the performed operation of topworks of each described process, and be that described topworks distributes topworks's sign and corresponding operation mark;
Set up the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
On the other hand, the invention provides a kind of ontology model apparatus for establishing of operation flow, comprising:
Divide module, be used for operation flow is divided into a plurality of processes, and be described flow process allocation flow sign and be each described course allocation process identification (PID);
First sets up module, is used for setting up the mapping relations between described process identification and each the described process identification (PID), and sets up the sequential relationship between the described process identification (PID);
Analysis module is used for analyzing input data and the output data of each described process, and is described input data and described output data allocations input Data Identification and the output Data Identification of each described process;
Second sets up module, is used for setting up first between each described process identification (PID) and the corresponding described input Data Identification and inputs mapping relations, and set up first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations;
Determination module is used for determining the performed operation of topworks of each described process, and is that described topworks distributes topworks's sign and corresponding operation mark;
The 3rd sets up module, is used for setting up the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
Ontology model method for building up and the device of operation flow provided by the invention can be used for instructing the process of setting up of the ontology model of operation flow, realize the exploitation of domain body.
Description of drawings
Fig. 1 is the schematic flow sheet of an embodiment of ontology model method for building up of operation flow provided by the invention;
Fig. 2 is the structural representation of the ontology model of the operation flow set up of the ontology model method for building up of operation flow embodiment illustrated in fig. 1;
Fig. 3 is the structural representation of an embodiment of ontology model apparatus for establishing of operation flow provided by the invention.
Embodiment
Below by specific embodiment and accompanying drawing, technical scheme of the present invention is described in further detail.
Fig. 1 is the schematic flow sheet of an embodiment of ontology model method for building up of operation flow provided by the invention.As shown in Figure 1, the executive agent of each step is specifically as follows and has the various device that ontology model is set up function among the following methods embodiment, for example: mobile phone, PC, PAD etc.The method can comprise:
S101 is divided into a plurality of processes with operation flow, and for flow process allocation flow sign and be each course allocation process identification (PID);
Concrete, process identification is specially the term name into the operation flow definition, is used for this operation flow of sign; Process identification (PID) is specially the term name into each process definition of operation flow, is used for each process of this operation flow of sign.
Take operation flow " diabetes risk assessment " as example: " diabetes risk assessment " is the process identification that this operation flow is distributed, the term name that defines for this operation flow in other words conj.or perhaps; Analyze the formation of this operation flow " diabetes risk assessment ", it is divided into a plurality of processes " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment ", wherein, " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment " are the process identification (PID) of each course allocation of this operation flow, are the term name of each process definition of this operation flow in other words conj.or perhaps.
S102, the mapping relations between Establishing process sign and each process identification (PID), and set up sequential relationship between the process identification (PID);
Concrete, the mapping relations between Establishing process sign and each process identification (PID) are specially: according to the component relationship between operation flow and its each process, set up corresponding process identification and the component relationship between each process identification (PID), i.e. mapping relations.
Set up the sequential relationship between the process identification (PID), be specially: according to the relation of the sequencing between each process of this operation flow, set up the sequencing relation between corresponding each process identification (PID), i.e. sequential relationship.
Still take operation flow " diabetes risk assessment " as example:
(1) sets up respectively operation flow " diabetes risk assessment " and process " information acquisition ", " diabetic/pre is judged ", component relationship between " diabetes B risk assessment ", be that operation flow " diabetes risk assessment " is by process " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment " form, and also namely set up respectively operation flow " diabetes risk assessment " and process " information acquisition ", " diabetic/pre is judged ", mapping relations between " diabetes B risk assessment ";
(2) sequencing of setting up between each process " information acquisition ", " diabetic/pre is judged " and " the diabetes B risk assessment " concerns, be to be process " diabetic/pre is judged " after the process " information acquisition ", be process " diabetes B risk assessment " after the process " diabetic/pre is judged ", also namely set up the sequential relationship between each process " information acquisition ", " diabetic/pre is judged " and " the diabetes B risk assessment ".
S103 analyzes input data and the output data of each process, and is input data and output data allocations input Data Identification and the output Data Identification of each process;
Concrete, the input Data Identification is specially the term name into the input data definition of each process of operation flow, is used for these input data of sign; The output Data Identification is specially the term name into the output data definition of each process of operation flow, is used for these output data of sign.
Still take operation flow " diabetes risk assessment " as example: input data and the output data of analyzing each process " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment ", and be input data and output data allocations input Data Identification and the output Data Identification of each process, concrete:
(1) the input data of analysis process " information acquisition " and output data, obtain this process without the input data, but output data " fasting plasma glucose " and " dextrose tolerance test in 2 hours (oral glucose tolerance test is called for short OGTT) plasma glucose " are arranged.Wherein, " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " is the output Data Identification of the output data allocations of process " information acquisition ", is the term name of the output data definition of process " information acquisition " in other words conj.or perhaps;
(2) the input data of analysis process " diabetic/pre is judged " and output data, obtaining this process has input data " fasting plasma glucose " and " 2 hours OGTT plasma glucoses ", and output data " diabetic ", " impaired glucose tolerance patient ", " IFG patient " and " non-diabetic pre " are also arranged.Wherein, " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " is the input Data Identification of the input data allocations of process " diabetic/pre is judged ", is the term name of the input data definition of process " diabetic/pre is judged " in other words conj.or perhaps.Wherein, " diabetic ", " impaired glucose tolerance patient ", " IFG patient " and " non-diabetic pre " are the output Data Identification of the output data allocations of process " diabetic/pre is judged ", are the term name of the output data definition of process " diabetic/pre is judged " in other words conj.or perhaps;
(3) the input data of analysis process " diabetes B risk assessment " and output data, obtaining this process has input data " non-diabetic pre ", and output data " low danger crowd " and " people at highest risk " are also arranged.Wherein, " non-diabetic pre " is the input Data Identification of the input data allocations of process " diabetes B risk assessment ", is the term name of the input data definition of process " diabetes B risk assessment " in other words conj.or perhaps.Wherein, " low danger crowd " and " people at highest risk " are the output Data Identification of the output data allocations of process " diabetes B risk assessment ", are the term name of the output data definition of process " diabetes B risk assessment " in other words conj.or perhaps.
S104 sets up the first input mapping relations between each process identification (PID) and the corresponding input Data Identification, and sets up first between each process identification (PID) and the corresponding output Data Identification and export mapping relations;
Concrete, set up the first input mapping relations between each process identification (PID) and the corresponding input Data Identification, be specially: according to the input relation between each process and the corresponding input data, set up each corresponding process identification (PID) and concern with input between the corresponding input Data Identification, namely first input mapping relations.
Set up the first output mapping relations between each process identification (PID) and the corresponding output Data Identification, be specially: according to the output relation between each process and the corresponding output data, set up the output relation between each corresponding process identification (PID) and the corresponding output Data Identification, namely first export mapping relations.
Still take operation flow " diabetes risk assessment " as example:
(1) setting up respectively process " information acquisition ", " diabetic/pre judge " and " diabetes B risk assessment " concerns with input between the corresponding input data, concrete: set up the input relation between process " diabetic/pre is judged " and input data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses ", namely set up the first input mapping relations between process " diabetic/pre is judged " and input data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses "; Set up the input relation between process " diabetes B risk assessment " and the input data " non-diabetic pre ", namely set up the first input mapping relations between process " diabetes B risk assessment " and the input data " non-diabetic pre ".
(2) set up respectively output relation between process " information acquisition ", " diabetic/pre judge " and " diabetes B risk assessment " and the corresponding output data, concrete: set up the output relation between process " information acquisition " and output data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses ", namely set up the first output mapping relations between process " information acquisition " and output data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses "; Set up the output relation between process " diabetic/pre is judged " and output data " diabetic ", " impaired glucose tolerance patient ", " the IFG patient " and " non-diabetic pre ", namely set up the first output mapping relations between process " diabetic/pre is judged " and output data " diabetic ", " impaired glucose tolerance patient ", " the IFG patient " and " non-diabetic pre "; Set up the output relation between process " diabetes B risk assessment " and output data " low danger crowd " and " people at highest risk ", namely set up the first output mapping relations between process " diabetes B risk assessment " and output data " low danger crowd " and " people at highest risk ".
S105 determines the performed operation of topworks of each process, and distributes the operation mark of topworks's sign and correspondence for topworks;
Concrete, topworks's sign is specially the term name into topworks's definition of each process, is used for this topworks of sign; Operation mark is specially the term name into the performed Operation Definition of the topworks of each process, is used for the performed operation of this topworks of sign.
Still take operation flow " diabetes risk assessment " as example: analyze the performed operation of topworks and this topworks of each process " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment ", and distribute the operation mark of topworks's sign and correspondence for this topworks; Concrete:
(1) topworks of analysis process " information acquisition ", obtaining this process has topworks " health check-up mechanism " and " evaluated person ", and " health check-up mechanism " carries out is operating as " health check-up ", and " evaluated person " carries out is operating as " evaluated ".Wherein, " health check-up mechanism " and " evaluated person " is topworks's sign of topworks's distribution of process " information acquisition ", is the term name of topworks's definition of process " information acquisition " in other words conj.or perhaps.Wherein, " health check-up " and " evaluated " is the operation mark that the performed operation of the topworks of process " information acquisition " distributes, and is the term name of the performed Operation Definition of the topworks of process " information acquisition " in other words conj.or perhaps;
(2) topworks of analysis process " diabetic/pre is judged " obtains this process without topworks.
(3) topworks of analysis process " diabetes B risk assessment " obtains this process without topworks.
S106 sets up the mapping relations between topworks's sign, operation mark and the process identification (PID).
Concrete, set up the mapping relations between topworks's sign, operation mark and the process identification (PID), be specially: according to the mapping relations between the performed operation of each process and corresponding topworks and this topworks, set up that each corresponding process identification (PID) identifies with corresponding topworks, the mapping relations between the operation mark.
Still take operation flow " diabetes risk assessment " as example: set up the mapping relations between the performed operation of process " information acquisition " and corresponding topworks and this topworks, concrete: as to set up the mapping relations between process " information acquisition " and topworks " health check-up mechanism " and the operation " health check-up "; Set up the mapping relations between process " information acquisition " and topworks " evaluated person " and the operation " evaluated ".
Further, after the S104, the method can also comprise:
Set up the second input mapping relations between the output Data Identification of each process identification (PID) and other process identification (PID)s; Set up the second output mapping relations between the input Data Identification of each process identification (PID) and other process identification (PID)s.
Concrete, output data when certain process, identical with the input data of the process of sequential after this process, the output data of this process can simultaneously as the input data of the process of this sequential after this process, namely be set up the input of second between process identification (PID) corresponding to the process of this sequential after this process output Data Identification corresponding with the output data of this process mapping relations; For example: among the S104, data " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " are the output data of process " information acquisition ", simultaneously also be the input data of process " diabetic/pre is judged ", therefore can set up the output data " fasting plasma glucose " of process " information acquisition " and the second input mapping relations between " 2 hours OGTT plasma glucoses " and the process " diabetic/pre is judged ".
Input data when certain process, identical with the output data of the process of sequential before this process, the input data of this process can simultaneously as the output data of the process of this sequential before this process, namely be set up the second output mapping relations of this sequential between process identification (PID) corresponding to the process before this process input Data Identification corresponding with the input data of this process; For example: among the S104, data " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " are the input data of process " diabetic/pre is judged ", also be the output data of process " information acquisition " simultaneously, therefore can set up the input data " fasting plasma glucose " of process " diabetic/pre is judged " and the second output mapping relations between " 2 hours OGTT plasma glucoses " and the process " information acquisition ".
Fig. 2 is the structural representation of the ontology model of the operation flow set up of the ontology model method for building up of operation flow embodiment illustrated in fig. 1.As shown in Figure 2, the ontology model of this operation flow comprises:
Process identification: diabetes risk assessment 21;
Process identification (PID): information acquisition 22, diabetic/pre judgement 23, diabetes B risk assessment 24;
Input Data Identification: fasting plasma glucose 25,2 hours dextrose tolerance test plasma glucoses 26, non-diabetic pre 27;
Output Data Identification: fasting plasma glucose 25,2 hours dextrose tolerance test plasma glucoses 26, diabetic 28, impaired glucose tolerance patient 29, IFG patient 30, non-diabetic pre 27, low danger crowd 31, people at highest risk 32;
Topworks's sign: health check-up mechanism 33, evaluated person 34;
Operation mark: health check-up 35, evaluated 36;
And the first mapping relations of exporting between mapping relations, topworks's sign, operation mark and the process identification (PID) between the first input mapping relations between the mapping relations between process identification and each process identification (PID), the sequential relationship between each process identification (PID), each process identification (PID) and the corresponding input Data Identification, each process identification (PID) and the corresponding output Data Identification.
Further, after the S102, the method can also comprise:
Mapping relations between process identification and each process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between process identification and each process identification (PID), and rebulid the sequential relationship between the process identification (PID).
Further, after the S104, the method can also comprise:
To the first input mapping relations between each process identification (PID) and the corresponding input Data Identification, and each process identification (PID) is carried out integrality and correctness verification with the first output mapping relations between the corresponding output Data Identification, if verification is not passed through, then rebulid the first input mapping relations between each process identification (PID) and the corresponding input Data Identification, and set up first between each process identification (PID) and the corresponding output Data Identification and export mapping relations.
Further, after the S106, the method can also comprise:
Mapping relations between topworks's sign, operation mark and the process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between topworks's sign, operation mark and the process identification (PID).
Ontology model method for building up and the device of the operation flow that the present embodiment provides can be used for instructing the process of setting up of the ontology model of operation flow, realize the exploitation of domain body.
The structural representation of an embodiment of ontology model apparatus for establishing of Fig. 3 operation flow provided by the invention.As shown in Figure 3, the ontology model apparatus for establishing of the operation flow in the present embodiment is the special body of the ontology model method for building up of the above-mentioned operation flow of execution, specifically can comprise: divide module 41, first and set up that module 42, analysis module 43, second are set up module 44, determination module 45 and the 3rd is set up module 46, wherein:
Concrete, process identification is specially divides the term name that module 41 is the operation flow definition, is used for identifying this operation flow; Process identification (PID) is specially and divides module 41 is the term name of each process definition of operation flow, is used for each process of this operation flow of sign.
Take operation flow " diabetes risk assessment " as example: " diabetes risk assessment " namely divides the process identification that module 41 is distributed as this operation flow, divides in other words conj.or perhaps module 41 and is the term name of this operation flow definition; Divide module 41 and analyze the formation of this operation flow " diabetes risk assessment ", it is divided into a plurality of processes " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment ", wherein, " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment " are namely divided module 41 and are the process identification (PID) of each course allocation of this operation flow, divide in other words conj.or perhaps module 41 and are the term name of each process definition of this operation flow.
First sets up module 42, is used for the mapping relations between Establishing process sign and each process identification (PID), and sets up the sequential relationship between the process identification (PID).
Concrete, first sets up the mapping relations between module 42 Establishing process sign and each process identification (PID), be specially: first sets up module 42 according to the component relationship between operation flow and its each process, set up corresponding process identification and the component relationship between each process identification (PID), i.e. mapping relations.
First sets up module 42 sets up sequential relationship between the process identification (PID), is specially: first sets up module 42 according to the relation of the sequencing between each process of this operation flow, sets up the sequencing relation between corresponding each process identification (PID), i.e. sequential relationship.
Still take operation flow " diabetes risk assessment " as example:
(1) first sets up module 42 sets up respectively operation flow " diabetes risk assessment " and process " information acquisition ", " diabetic/pre is judged ", component relationship between " diabetes B risk assessment ", be that operation flow " diabetes risk assessment " is by process " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment " form, and also namely set up respectively operation flow " diabetes risk assessment " and process " information acquisition ", " diabetic/pre is judged ", mapping relations between " diabetes B risk assessment ";
(2) first set up module 42 sets up sequencing relation between each process " information acquisition ", " diabetic/pre judge " and " diabetes B risk assessment ", be to be process " diabetic/pre is judged " after the process " information acquisition ", be process " diabetes B risk assessment " after the process " diabetic/pre is judged ", also namely set up the sequential relationship between each process " information acquisition ", " diabetic/pre is judged " and " the diabetes B risk assessment ".
Concrete, the input Data Identification is specially analysis module 43 and is the term name of the input data definition of each process of operation flow, is used for these input data of sign; The output Data Identification is specially analysis module 43 and is the term name of the output data definition of each process of operation flow, is used for these output data of sign.
Still take operation flow " diabetes risk assessment " as example: analysis module 43 is analyzed input data and the output data of each process " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment ", and be input data and output data allocations input Data Identification and the output Data Identification of each process, concrete:
(1) the input data of analysis module 43 analysis process " information acquisition " and output data, obtain this process without the input data, but output data " fasting plasma glucose " and " dextrose tolerance test in 2 hours (oral glucose tolerance test; be called for short OGTT) plasma glucose " are arranged, wherein, " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " is that analysis module 43 is the output Data Identification of the output data allocations of process " information acquisition ", or perhaps analysis module 43 is the term name of the output data definition of process " information acquisition ";
(2) the input data of analysis module 43 analysis process " diabetic/pre is judged " and output data, obtaining this process has input data " fasting plasma glucose " and " 2 hours OGTT plasma glucoses ", and output data " diabetic ", " impaired glucose tolerance patient ", " IFG patient " and " non-diabetic pre " are also arranged.Wherein, " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " is that analysis module 43 is the input Data Identification of the input data allocations of process " diabetic/pre is judged ", or perhaps analysis module 43 is the term name of the input data definition of process " diabetic/pre is judged ".Wherein, " diabetic ", " impaired glucose tolerance patient ", " IFG patient " and " non-diabetic pre " are that analysis module 43 is the output Data Identification of the output data allocations of process " diabetic/pre is judged ", or perhaps analysis module 43 is the term name of the output data definition of process " diabetic/pre is judged ";
(3) the input data of analysis module 43 analysis process " diabetes B risk assessment " and output data, obtaining this process has input data " non-diabetic pre ", and output data " low danger crowd " and " people at highest risk " are also arranged.Wherein, " non-diabetic pre " is that analysis module 43 is the input Data Identification of the input data allocations of process " diabetes B risk assessment ", or perhaps analysis module 43 is the term name of the input data definition of process " diabetes B risk assessment ".Wherein, " low danger crowd " and " people at highest risk " are that analysis module 43 is the output Data Identification of the output data allocations of process " diabetes B risk assessment ", or perhaps analysis module 43 is the term name of the output data definition of process " diabetes B risk assessment ".
Second sets up module 44, is used for setting up first between each process identification (PID) and the corresponding input Data Identification and inputs mapping relations, and set up first between each process identification (PID) and the corresponding output Data Identification and export mapping relations;
Concrete, second sets up module 44 sets up the first input mapping relations between each process identification (PID) and the corresponding input Data Identification, be specially: second sets up module 44 according to the input relation between each process and the corresponding input data, set up each corresponding process identification (PID) and concern with input between the corresponding input Data Identification, namely first input mapping relations.
Second sets up module 44 sets up the first output mapping relations between each process identification (PID) and the corresponding output Data Identification, be specially: second sets up module 44 according to the output relation between each process and the corresponding output data, set up the output relation between each corresponding process identification (PID) and the corresponding output Data Identification, namely first export mapping relations.
Still take operation flow " diabetes risk assessment " as example:
(1) second sets up module 44 sets up respectively process " information acquisition ", " diabetic/pre judge " and " diabetes B risk assessment " concerns with input between the corresponding input data, concrete: second sets up module 44 sets up input relation between process " diabetic/pre is judged " and input data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses ", namely sets up process " diabetic/pre is judged " and inputs first between data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses " and input mapping relations; Second sets up module 44 sets up input relation between process " diabetes B risk assessment " and input data " non-diabetic pre ", namely sets up first between process " diabetes B risk assessment " and the input data " non-diabetic pre " and inputs mapping relations.
(2) second set up module 44 sets up respectively output relation between process " information acquisition ", " diabetic/pre judge " and " diabetes B risk assessment " and the corresponding output data, concrete: second sets up module 44 sets up output relation between process " information acquisition " and output data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses ", namely sets up process " information acquisition " and exports first between data " fasting plasma glucose " and " the 2 hours OGTT plasma glucoses " and export mapping relations; Second sets up module 44 sets up output relation between process " diabetic/pre judge " and output data " diabetic ", " impaired glucose tolerance patient ", " the IFG patient " and " non-diabetic pre ", namely sets up process " diabetic/pre is judged " and exports first between data " diabetic ", " impaired glucose tolerance patient ", " the IFG patient " and " non-diabetic pre " and export mapping relations; Second sets up module 44 sets up output relation between process " diabetes B risk assessment " and output data " low danger crowd " and " people at highest risk ", namely sets up first between process " diabetes B risk assessment " and output data " low danger crowd " and " people at highest risk " and exports mapping relations.
Concrete, topworks's sign is specially determination module 45 for the term name of topworks's definition of each process, is used for this topworks of sign; Operation mark is specially determination module 45 and is the term name of the performed Operation Definition of the topworks of each process, is used for the performed operation of this topworks of sign.
Still take operation flow " diabetes risk assessment " as example: determination module 45 is analyzed the performed operation of topworks and this topworks of each process " information acquisition ", " diabetic/pre is judged " and " diabetes B risk assessment ", and identifies and corresponding operation mark for this topworks distributes topworks; Concrete:
(1) topworks of determination module 45 analysis process " information acquisition ", obtain this process topworks " health check-up mechanism " and " evaluated person " are arranged, " health check-up mechanism " carries out is operating as " health check-up ", and " evaluated person " carries out is operating as " evaluated ".Wherein, " health check-up mechanism " and " evaluated person " is that determination module 45 is topworks's sign of topworks's distribution of process " information acquisition ", or perhaps determination module 45 is the term name of topworks's definition of process " information acquisition ".Wherein, " health check-up " and " evaluated " is the operation mark that determination module 45 distributes for the performed operation of the topworks of process " information acquisition ", or perhaps determination module 45 is the term name of the performed Operation Definition of the topworks of process " information acquisition ";
(2) topworks of determination module 45 analysis process " diabetic/pre is judged " obtains this process without topworks;
(3) topworks of determination module 45 analysis process " diabetes B risk assessment " obtains this process without topworks.
The 3rd sets up module 46, is used for setting up the mapping relations between topworks's sign, operation mark and the process identification (PID).
Concrete, the 3rd sets up module 46 sets up mapping relations between topworks's sign, operation mark and the process identification (PID), be specially: the 3rd sets up module 46 according to the mapping relations between the performed operation of each process and corresponding topworks and this topworks, sets up that each corresponding process identification (PID) identifies with corresponding topworks, the mapping relations between the operation mark.
Still take operation flow " diabetes risk assessment " as example: the 3rd sets up module 46 sets up mapping relations between the performed operation of process " information acquisition " and corresponding topworks and this topworks, concrete: the 3rd sets up module 46 sets up mapping relations between process " information acquisition " and topworks " health check-up mechanism " and the operation " health check-up "; The 3rd sets up module 46 sets up mapping relations between process " information acquisition " and topworks " evaluated person " and the operation " evaluated ".
Further, second set up module 44 and can also be used for:
In the first input mapping relations of setting up between each process identification (PID) and the corresponding input Data Identification, and set up after the first output mapping relations between each process identification (PID) and the corresponding output Data Identification, set up the second input mapping relations between the input Data Identification of each process identification (PID) and other process identification (PID)s, set up second between the output Data Identification of each process identification (PID) and other process identification (PID)s and export mapping relations.
Concrete, output data when certain process, identical with the input data of the process of sequential after this process, the output data of this process can be simultaneously as the input data of the process of this sequential this process after, namely second set up module 44 and set up second between process identification (PID) corresponding to the process of this sequential after this process output Data Identification corresponding with the output data of this process and input mapping relations; For example: data " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " are the output data of process " information acquisition ", simultaneously also be the input data of process " diabetic/pre is judged ", therefore second set up module 44 and can set up second between the output data " fasting plasma glucose " of process " information acquisition " and " 2 hours OGTT plasma glucoses " and the process " diabetic/pre is judged " and input mapping relations.
Input data when certain process, identical with the output data of the process of sequential before this process, the input data of this process can be simultaneously as the output data of the process of this sequential before this process, namely second set up module 44 and set up this sequential and between process identification (PID) corresponding to the process before this process input Data Identification corresponding with the input data of this process, second export mapping relations; For example: data " fasting plasma glucose " and " 2 hours OGTT plasma glucoses " are the input data of process " diabetic/pre is judged ", also be the output data of process " information acquisition " simultaneously, therefore second set up module 44 and can set up second between the input data " fasting plasma glucose " of process " diabetic/pre is judged " and " 2 hours OGTT plasma glucoses " and the process " information acquisition " and export mapping relations.
Further, first set up module 42 and can also be used for:
In the mapping relations of setting up between described process identification and each the described process identification (PID), and set up after the sequential relationship between the described process identification (PID), mapping relations between described process identification and each the described process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between described process identification and each the described process identification (PID), and set up the sequential relationship between the described process identification (PID).
Further, second set up module 44 and can also be used for:
In described the first input mapping relations of setting up between each described process identification (PID) and the corresponding described input Data Identification, and set up after described the first output mapping relations between each described process identification (PID) and the corresponding described output Data Identification, to described the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and each described process identification (PID) is carried out integrality and correctness verification with described the first output mapping relations between the corresponding described output Data Identification, if verification is not passed through, then rebulid described the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and set up described first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations.
Further, the 3rd set up module 46 and can also be used for:
Set up after the mapping relations between described topworks sign, described operation mark and the described process identification (PID), mapping relations between described topworks sign, described operation mark and the described process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
The ontology model apparatus for establishing of the operation flow that the present embodiment provides can be used for carrying out the process of setting up of the ontology model of operation flow, realizes the exploitation of domain body.
It should be noted that at last: above each embodiment is not intended to limit only in order to technical scheme of the present invention to be described; Although with reference to aforementioned each embodiment the present invention is had been described in detail, those of ordinary skill in the art is to be understood that: it still can be made amendment to the technical scheme that aforementioned each embodiment puts down in writing, and perhaps some or all of technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the scope of various embodiments of the present invention technical scheme.
Claims (10)
1. the ontology model method for building up of an operation flow is characterized in that, comprising:
Operation flow is divided into a plurality of processes, and is described flow process allocation flow sign and is each described course allocation process identification (PID);
Set up the mapping relations between described process identification and each the described process identification (PID), and set up the sequential relationship between the described process identification (PID);
Analyze input data and the output data of each described process, and be described input data and described output data allocations input Data Identification and the output Data Identification of each described process;
Set up the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and set up first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations;
Determine the performed operation of topworks of each described process, and be that described topworks distributes topworks's sign and corresponding operation mark;
Set up the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
2. method according to claim 1, it is characterized in that, described the first input mapping relations of setting up between each described process identification (PID) and the corresponding described input Data Identification, and set up after the first output mapping relations between each described process identification (PID) and the corresponding described output Data Identification, also comprise:
Set up the second input mapping relations between the output Data Identification of each described process identification (PID) and other process identification (PID)s;
Set up the second output mapping relations between the input Data Identification of each described process identification (PID) and other process identification (PID)s.
3. method according to claim 1 and 2 is characterized in that, the described mapping relations of setting up between described process identification and each the described process identification (PID), and set up after the sequential relationship between the described process identification (PID), also comprise:
Mapping relations between described process identification and each the described process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between described process identification and each the described process identification (PID), and set up the sequential relationship between the described process identification (PID).
4. method according to claim 1 and 2, it is characterized in that, described the first input mapping relations of setting up between each described process identification (PID) and the corresponding described input Data Identification, and set up after the first output mapping relations between each described process identification (PID) and the corresponding described output Data Identification, also comprise:
To described the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and each described process identification (PID) is carried out integrality and correctness verification with described the first output mapping relations between the corresponding described output Data Identification, if verification is not passed through, then rebulid described the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and set up described first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations.
5. method according to claim 1 and 2 is characterized in that, after the described mapping relations of setting up between described topworks sign, described operation mark and the described process identification (PID), also comprises:
Mapping relations between described topworks sign, described operation mark and the described process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
6. the ontology model apparatus for establishing of an operation flow is characterized in that, comprising:
Divide module, be used for operation flow is divided into a plurality of processes, and be described flow process allocation flow sign and be each described course allocation process identification (PID);
First sets up module, is used for setting up the mapping relations between described process identification and each the described process identification (PID), and sets up the sequential relationship between the described process identification (PID);
Analysis module is used for analyzing input data and the output data of each described process, and is described input data and described output data allocations input Data Identification and the output Data Identification of each described process;
Second sets up module, is used for setting up first between each described process identification (PID) and the corresponding described input Data Identification and inputs mapping relations, and set up first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations;
Determination module is used for determining the performed operation of topworks of each described process, and is that described topworks distributes topworks's sign and corresponding operation mark;
The 3rd sets up module, is used for setting up the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
7. device according to claim 6 is characterized in that, described second sets up module also is used for:
In described the first input mapping relations of setting up between described each described process identification (PID) and the corresponding described input Data Identification, and set up after described the first output mapping relations between each described process identification (PID) and the corresponding described output Data Identification, set up the second input mapping relations between the input Data Identification of each described process identification (PID) and other process identification (PID)s, set up second between the output Data Identification of each described process identification (PID) and other process identification (PID)s and export mapping relations.
8. according to claim 6 or 7 described devices, it is characterized in that, described first sets up module also is used for:
In the mapping relations of setting up between described process identification and each the described process identification (PID), and set up after the sequential relationship between the described process identification (PID), mapping relations between described process identification and each the described process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between described process identification and each the described process identification (PID), and set up the sequential relationship between the described process identification (PID).
9. according to claim 6 or 7 described devices, it is characterized in that, described second sets up module also is used for:
In described the first input mapping relations of setting up between each described process identification (PID) and the corresponding described input Data Identification, and set up after described the first output mapping relations between each described process identification (PID) and the corresponding described output Data Identification, to described the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and each described process identification (PID) is carried out integrality and correctness verification with described the first output mapping relations between the corresponding described output Data Identification, if verification is not passed through, then rebulid described the first input mapping relations between each described process identification (PID) and the corresponding described input Data Identification, and set up described first between each described process identification (PID) and the corresponding described output Data Identification and export mapping relations.
10. according to claim 6 or 7 described devices, it is characterized in that, the described the 3rd sets up module also is used for:
Set up after the mapping relations between described topworks sign, described operation mark and the described process identification (PID), mapping relations between described topworks sign, described operation mark and the described process identification (PID) are carried out integrality and correctness verification, if verification is not passed through, then rebulid the mapping relations between described topworks sign, described operation mark and the described process identification (PID).
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