请设计两个函数，一个根据读入的“行号 列号 元素值”三元组构建十字链表表示的稀疏矩阵，另一个从矩阵中查询指定行列上元素的值。

在Python中，我们可以创建一个稀疏矩阵的数据结构，如十字链表，来存储非零元素及其位置。这里我将为您设计两个函数：

class Node:
    def __init__(self, row, col, value):
        self.row = row
        self.col = col
        self.value = value
        self.next_row = None
        self.next_col = None

class SparseMatrix:
    def __init__(self):
        self.head = None

    def insert(self, row, col, value):
        if not self.head:
            self.head = Node(row, col, value)
        else:
            current = self.head
            while True:
                if row == current.row and abs(col - current.col) == 1:
                    current.value += value
                    break
                elif row > current.row:
                    if not current.next_row:
                        next_node = Node(row, col, value)
                        current.next_row = next_node
                        break
                    else:
                        current = current.next_row
                else:
                    if not current.next_col:
                        next_node = Node(row, col, value)
                        current.next_col = next_node
                        break
                    else:
                        current = current.next_col

    def query_value(self, row, col):
        if not self.head:
            return 0
        current = self.head
        while current:
            if row == current.row and col == current.col:
                return current.value
            elif row > current.row or (row == current.row and col < current.col):
                current = current.next_row
            else:
                current = current.next_col
        return 0


# 使用示例
matrix = SparseMatrix()
matrix.insert(0, 0, 1)
matrix.insert(1, 0, 2)
matrix.insert(1, 1, 3)

print(matrix.query_value(0, 0))  # 输出：1
print(matrix.query_value(1, 0))