Algorithm 1.

Match Generation Algorithm

1:	Input: input_headers, output_headers, simMatrix
2:	Output: matches
3:	matches ← empty list
4:	for all input ∈ input headers do
5:	MATCHINPUT(input, matches)
6:	end for
7:	return matches
8:
9:	procedure MATCHINPUT(input, matches)
10:	ops ← output headers with similarity values >= 0.5
11:	sort ops by descending similarity value
12:	for all output ∈ ops do
13:	sim ← simMatrix[input][output]
14:	currMatch ← [input, output, sim]
15:	if output is not already matched then
16:	matches.add(currMatch)
17:	return
18:	else
19:	find prevMatch of output from matches
20:	if prevMatch.sim < currMatch.sim then
21:	matches.add(currMatch)
22:	matches.remove(prevMatch)
23:	MATCHINPUT(prevMatch.input, matches)
24:	return
25:	end if
26:	end if
27:	end for
28:	return
29:	end procedure