Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A new approach for measuring semantic similarity of ontology concepts
  using dynamic programming   Today, with the emergence of semantic web technologies and increasing of
information quantity, searching for information based on the semantic web has
become a fertile area of research. For this reason, a large number of studies
are performed based on the measure of semantic similarity. Therefore, in this
paper, we propose a new method of semantic similarity measuring which uses the
dynamic programming to compute the semantic distance between any two concepts
defined in the same hierarchy of ontology. Then, we base on this result to
compute the semantic similarity. Finally, we present an experimental comparison
between our method and other methods of similarity measuring. Where we will
show the limits of these methods and how we avoid them with our method. This
one bases on a function of weight allocation, which allows finding different
rate of semantic similarity between a given concept and two other sibling
concepts which is impossible using the other methods.

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The categories of this paper are: gr-qc
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The categories of this paper are: eess
2
The categories of this paper are: math
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The categories of this paper are: patt-sol
16
The categories of this paper are: stat
9
The categories of this paper are: nlin
18
The categories of this paper are: econ
4
The categories of this paper are: cond-mat
8
The categories of this paper are: hep-ex
17
The categories of this paper are: q-fin
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The categories of this paper are: comp-gas
22
The categories of this paper are: chao-dyn
28
The categories of this paper are: alg-geom
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The categories of this paper are: plasm-ph
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The categories of this paper are: acc-phys
3
The categories of this paper are: physics