CN102567787A - Knowledge representation dynamic frame model for land use changes - Google Patents
Knowledge representation dynamic frame model for land use changes Download PDFInfo
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- CN102567787A CN102567787A CN2011104564993A CN201110456499A CN102567787A CN 102567787 A CN102567787 A CN 102567787A CN 2011104564993 A CN2011104564993 A CN 2011104564993A CN 201110456499 A CN201110456499 A CN 201110456499A CN 102567787 A CN102567787 A CN 102567787A
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Abstract
The invention discloses a knowledge representation dynamic frame model for land utilization changes, and the knowledge representation dynamic frame model includes nodes, connecting sides and a probability parameter set, wherein the probability parameter set is located nearby the nodes; the nodes are used for representing the land use patterns, and include the time attributes and the area characteristics of corresponding land use patterns; the connecting sides are connected with the nodes, representing the existence of the conversion relationship between the connected nodes; the arrow directions of the connecting sides represent the conversion direction between the connected nodes; and the probability parameter set represent the conversion intensity between the nodes. The model can efficiently represent various knowledge patterns of the land use changes, uses the nodes and directed edges to represent the qualitative knowledge of the land use changes, uses the probability parameter set to represent the quantitative knowledge, establishes the frame model integrally representing the qualitative knowledge and the quantitative knowledge, and realizes the organic combination of representation of the qualitative knowledge and the quantitative knowledge.
Description
Technical field
The present invention is the main domain knowledge that utilization changes towards the soil; A kind of knowledge representation method of model Network Based is proposed; The Qualitative Knowledge that realization soil utilization changes is represented the organic unity with the quantitative representation of knowledge, and this has important scientific meaning for knowledge reasoning and the expert system structure that the soil utilization changes.Belong to field of earth sciences.
Background technology
The soil utilization is human regulation measure and the activity in production of the soil being taked in order to satisfy society need, and the soil utilization changes and reflected that the different times mankind are for various purposes to the change of soil management mode.Along with becoming increasingly conspicuous of China's population, resource and environmental problem; Inner link between soil utilization variation and socio-economic development and the industry restructuring receives common concern, and the soil utilization changes research and also becomes the research content in the regional sustainable development.It is a complex environment ecological process that the soil utilization changes, and its essence is that the soil from the evolutionary process of a state exchange for another state, relates to information elements such as soil change type, soil varied number and soil variable gradient.The representation of knowledge is the prerequisite basis of knowledge use and knowledge reasoning, the research knowledge representation method that utilization changes towards the soil, and the field of knowledge reasoning and expert system structure change to(for) the soil utilization have important practical significance.
The representation of knowledge is exactly one group of agreement about how representing that knowledge is done; It is the process of knowledge symbolism; Its essence is exactly with human knowledge formalization or modelling, comprises at present that production representation, predicate logic are represented, frame representation, semantic net is represented and method such as body.For knowledge representation method; Mainly from whether representing fully that aspects such as domain knowledge, understanding and realization complexity and knowledge utilization efficient consider; Every kind of method all has the different features and the scope of application; Like production knowledge representation method easy to understand, but work efficiency is not high, can not show contact between the things with structural relation.The predicate logic representation clear in structure does not rely on specific field knowledge, still, is difficult to represent process heuristic knowledge and uncertain knowledge.Body is as a kind of knowledge representation method, is suitable for representing the inherent feature of entity in the structure, the fields such as relation between the notion of notion, and is difficult to the inner link between the presentation-entity.
The representation of knowledge to soil utilization variation field comprises the determinacy knowledge and the uncertain representation of knowledge, relates to qualitative part description and quantitatively partly representes, like the aspect knowledge such as trend direction, conversion quantity and gradient information of representing that land use pattern changes.Qualitative Knowledge and quantitative knowledge in order to represent that effectively the soil utilization changes need research and explore new knowledge representation method, make up a representation of knowledge frame model that utilization changes towards the soil.
Summary of the invention
The present invention proposes the dynamic frame model of the representation of knowledge that the utilization of a kind of soil changes; Represent the type that the soil utilization changes with node; Fillet between the link node is represented the variation relation between the land use pattern, the directivity that on behalf of land use pattern, the arrow of fillet change.Default connection then representes do not have transformational relation between the pairing land type between the node.Transition probability with between the probability parameter set representations land use pattern is a change intensity.This model can be represented the Qualitative Knowledge and quantitative knowledge that the soil utilization changes effectively, realizes that the soil utilizes the formalized description and the expression of change information, will quantitative basis be provided for understanding better with research soil utilization evolution rule and characteristic.
Technical scheme of the present invention is:
The dynamic frame model of the representation of knowledge that the soil utilization changes includes node, fillet and probability parameter collection, and the probability parameter collection is positioned at the next door of node;
Said node is used to represent land use pattern, and comprises the time attribute and the area features of corresponding land use pattern;
There is transforming relationship in said fillet link node between the node that expression is connected;
Conversion direction between the node of representing to be connected with the direction of arrow of fillet;
Conversion strength between the probability parameter set representations node.
Scheme further is: node quantity is corresponding with the quantity of land use pattern, and every kind of land use pattern is corresponding to a node.
Scheme further is: the time attribute of corresponding land use pattern and area features are the area features of the corresponding land use pattern of expression in special time.
Scheme further is: the direction of arrow of fillet representes that it is to carry out along the direction of fillet arrow that node transforms;
Scheme further is: the ratio of the quantity before the quantity that conversion strength has transformed through node transforms with node is represented.
The technical scheme of more refinement of the present invention is:
1), utilize the variable and the set of state, uses node V in order to represent the soil
1, V
2..., V
nRepresent that it is land use pattern that various soils utilize state, like farming land, building site, unused land, waters and greenery patches etc.Simultaneously, node can comprise time attribute and area features.
It is a collective concept as a whole that the soil utilizes state, is meant the formed various forms set in the process to soil utilization and transformation the mankind.Land use pattern is corresponding to the node in the frame model, and these nodes constitute the variables set that the soil utilization changes the field, corresponding to the nodal set of network model.Promptly represent that with nodal set the soil utilizes state set: V={V
1, V
2..., V
n.
2), the transforming relationship between the expression land use pattern.
Represent the soil with there being transforming relationship between the type with the fillet between the node, default connection then representes do not have transforming relationship between the pairing land use pattern between the node.Like V
1Expression land use pattern " farming land ", V
2Expression land use pattern " building site " then can be used fillet " V
i-V
j" there is transforming relationship between expression " farming land " and " building site ".If between land use pattern " farming land " and " building site " transforming relationship does not take place, then node " V
i" and " V
j" between do not have fillet.
3), the trend and direction of expression land use pattern variation.
The soil utilizes and has certain directivity in the change procedure, for the trend and direction of representing that land use pattern changes, representes to point to the land use pattern that changes over to by the land use pattern that produces with the arrow of fillet.Fillet with directivity is defined as directed edge, and therefore, relation and trend that land use pattern changes can be represented with the set of directed edge.Be that the Qualitative Knowledge that the soil utilization changes can be described as:
L＝{(V
i→V
j)|V
i，V
j∈V}。
4), expression the land use pattern amplitude and the quantity that change, represent that promptly the soil utilization changes the quantitative knowledge in field.
With the quantitative knowledge in probability parameter set representations soil utilization variation field, i.e. conversion strength between the land use pattern.Probability parameter is represented the transition probability between father node and its child node, and probability parameter is the accurate expression to conversion strength between the land use pattern (node), belongs to the part of quantitative knowledge description.Like V
2Expression land use pattern " farming land ", V
1Expression land use pattern " building site ", then probable value P (V
2/ V
1) expression is converted into the probability and the intensity of " building site " from land use pattern " farming land ".Therefore, the soil utilization change quantitative knowledge can (Probability Set PS) representes, i.e. P={P (V with the probability parameter collection
i| V
j), V
i, V
j∈ V}.
In sum, for the domain knowledge that the soil utilization changes, can use mathematical symbolism is following model M:
M＝(V，L，P)
Wherein: V={V
1, V
2..., V
n}
L＝{(V
i→V
j)|V
i，V
j∈V}
P＝{P(V
i|V
j)，V
i，V
j∈V}
This model can represent effectively that the soil utilization changes the knowledge in field, realizes the combination of qualitative representation and quantificational expression, and utilization node and directed edge are represented Qualitative Knowledge, i.e. transforming relationship between the land use pattern and evolutionary process etc.The quantitative knowledge of utilization probability parameter set representations, parameter has embodied quantity and the intensity that transforms between the land use pattern.It utilizes the qualitative and quantitative knowledge in the change procedure to show with succinct graph model in the soil; Expression is semantic clear, directly perceived naturally; Be convenient to explain and easy to understand; Be a kind of effective knowledge representation method, can solve the problem that in time to monitor the change situation of land use pattern in the practical work process intuitively, very big application prospect is arranged.
This model can be represented the various knowledge types that the soil utilization changes effectively, comprises determinacy knowledge and uncertain knowledge, like the trend and direction that the soil utilization changes, and feature knowledge such as intensity that land use pattern transforms and probability.This model is represented the Qualitative Knowledge that the soil utilization changes with node and directed edge; With the quantitative knowledge of probability parameter set representations; A Qualitative Knowledge and the unified frame model of representing of quantitative knowledge have been set up; Realize the combination of the qualitative and quantitative representation of knowledge, embodied great dirigibility and ubiquity.Can guarantee the science and the accuracy of the representation of knowledge like this, for expert system makes up and intelligent reasoning provides a kind of new thinking and method.
Description of drawings
Fig. 1 is a structure of models synoptic diagram of the present invention.
Embodiment
The area in somewhere building site, farming land, unused land, greenery patches and waters is respectively 245km
2, 150km
2, 90km
2, 100km
2, 180km
2, after one section development in period, variation has taken place in land use pattern, and the scale of building site is in continuous expansion, and farming land, unused land, greenery patches have 18km respectively
2, 27.9km
2And 9km
2Be converted into building site, water surface area has reduced 32.4km
2, all be converted into building site.15km is arranged in the farming land
2Be converted into the greenery patches, unused land has 11.7km
2And 14.4km
2Be converted into farming land and greenery patches.
Land use pattern situation of change for directly perceived, clear and definite expression this area; The dynamic frame model of the representation of knowledge that the soil utilization of foundation shown in accompanying drawing 1 changes; Include arrow, the probability parameter collection of node, fillet and fillet; Fillet and be used for link node, the conversion direction between the node that the fillet direction of arrow is represented to be connected, the probability parameter collection is positioned at the node next door;
Said node is used to represent land use pattern, and comprises the time attribute and the area features of corresponding land use pattern, uses V
1, V
2, V
3, V
4, V
5Represent building site, farming land, unused land, waters and greenery patches respectively.The soil utilizes state set V={V
1, V
2..., V
5}={ building site, farming land, unused land, waters, greenery patches }.
There is transforming relationship in said fillet link node between the node that expression is connected, and V is arranged
1-V
2, V
1-V
3, V
1-V
4, V
1-V
4, V
2-V
3, V
2-V
4, V
3-V
4Totally seven fillets.
Conversion direction between the node that the direction of arrow of fillet is represented to be connected; Represent to point to the land use pattern that changes over to the arrow of fillet, obtain the set of directed edge: L={V by the land use pattern that produces
2→ V
1, V
3→ V
1, V
4→ V
1, V
5→ V
1, V
3→ V
2, V
2→ V
4, V
3→ V
4.
Conversion strength between the probability parameter set representations node, i.e. the amplitude and the quantity of land use pattern variation are represented the transition probability between father node and its child node with probability parameter, can obtain P (V
1| V
2)=0.12, P (V
1| V
3)=0.31, P (V
1| V
4)=0.09, P (V
1| V
5)=0.18, P (V
4| V
2)=0.10, P (V
2| V
3)=0.13, P (V
4| V
3)=0.16.
Just can observe intuitively from this model, in this special time, building site node V
1Area constantly enlarge waters node V
5, unused land node V
3Area constantly reduce farming land node V
2With greenery patches node V
4Area change, need through probability parameter collection quantitative test situation of change.Node V
1Other probability parameter collection can quantitatively find out, has 12% farming land, 31% unused land, 9% greenery patches and 18% water surface area to be converted into the building site area; Through greenery patches node V
4Other probability parameter collection can quantitatively find out have 10% farming land, 16% unused land area to be converted into greenery area; Through farming land node V
2Other probability parameter collection can quantitatively find out, has 13% unused land to be converted into farming land.Judge that based on this model on general trend, the building site scale enlargement is rapid; Unused land obtains further development and utilization, and regional greening work obtains paying attention to, and greenery area constantly increases; And farming land and waters should cause the great attention and the concern of relevant departments in continuous minimizing.
Claims (5)
1. the dynamic frame model of the representation of knowledge of soil utilization variation is characterized in that including node, fillet and probability parameter collection, and the probability parameter collection is positioned at the next door of node;
Said node is used to represent land use pattern, and comprises the time attribute and the area features of corresponding land use pattern;
There is transforming relationship in said fillet link node between the node that expression is connected;
Conversion direction between the node of representing to be connected with the direction of arrow of fillet;
Conversion strength between the probability parameter set representations node.
2. the dynamic frame model of the representation of knowledge that soil according to claim 1 utilization changes, it is characterized in that: node quantity is corresponding with the quantity of land use pattern, and every kind of land use pattern is corresponding to a node.
3. the dynamic frame model of the representation of knowledge that soil according to claim 1 utilization changes is characterized in that: the time attribute of corresponding land use pattern and area features are the area features of the corresponding land use pattern of expression in special time.
4. the dynamic frame model of the representation of knowledge that soil according to claim 1 utilization changes is characterized in that: the direction of arrow of described fillet representes that it is that direction along the arrow of fillet is carried out that node transforms.
5. the dynamic frame model of the representation of knowledge that changes according to the utilization of the said soil of claim 1 is characterized in that: the ratio of the quantity before the quantity that described conversion strength has transformed through node transforms with node is represented.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413293A (en) * | 2013-07-09 | 2013-11-27 | 武汉理工大学 | Method for obtaining urban land use landscape pattern intrinsic observation scale |
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Non-Patent Citations (7)
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|---|
| 《地理科学进展》 20090930 朱利凯等 "国际LUCC模型研究进展及趋势 第783页 1-5 第28卷, 第5期 * |
| 《水土保持研究》 20061231 李春华等 基于知识的遥感影像的BAYES分类方法研究--以福州市琅歧岛土地覆盖/土地利用类型为例 第126-132页 1-5 第13卷, 第6期 * |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103413293A (en) * | 2013-07-09 | 2013-11-27 | 武汉理工大学 | Method for obtaining urban land use landscape pattern intrinsic observation scale |
| CN103413293B (en) * | 2013-07-09 | 2016-03-02 | 武汉理工大学 | The acquisition methods of urban land use landscape pattern intrinsic observation scale |
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