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  <front>
    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>OntoMathEdu: Towards an Educational Mathematical Ontology</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Alexander Kirillovich</string-name>
          <email>alik.kirillovich@gmail.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Olga Nevzorova</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Marina Falileeva</string-name>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Evgeny Lipachev</string-name>
          <email>elipachev@gmail.com</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Liliana Shakirova</string-name>
          <email>liliana008@mail.ru</email>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Joint Supercomputer Center of the Russian Academy of Sciences</institution>
          ,
          <addr-line>Kazan</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Kazan Federal University</institution>
          ,
          <addr-line>Kazan</addr-line>
          ,
          <country country="RU">Russia</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2019</year>
      </pub-date>
      <fpage>8</fpage>
      <lpage>12</lpage>
      <abstract>
        <p>We present OntoMathEdu, a new educational mathematical ontology. This ontology is intended to be a Linked Open Data hub for mathematical education, a linguistic resource for intelligent mathematical language processing and an end-user reference educational database. OntoMathEdu is organized in three layers: a foundational ontology layer, a domain ontology layer and a linguistic layer. The domain ontology layer, in turn, consists of the following modules: a kind hierarchy, a hierarchy of reified relationships, a roles hierarchy, and a network of points of view. Currently, OntoMathEdu covers Euclidean plane geometry only, but we plan to extend it to the whole secondary school mathematics curriculum. We consider our work as a part of long-established trend of using Linked Open Data and ontologies in educational environments.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>Introduction</title>
      <p>We present OntoMathEdu (https://github.com/CLLKazan/OntoMathEdu), a new educational mathematical
ontology. The ontology is intended to be:</p>
      <p>This ontology is a central component of the digital educational platform under development, which is
intended for solving such tasks as: (1) automatic knowledge testing; (2) automatic recommendation of educational
materials according to an individual study plan; (3) semantic annotation of educational materials.</p>
      <p>
        In the development of OntoMathEdu we would rely on our experience of the development of OntoMathP RO
(http://ontomathpro.org/) [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ], an ontology of professional mathematics. This ontology underlies a semantic
publishing platform [
        <xref ref-type="bibr" rid="ref10 ref11 ref12">10-12</xref>
        ], that takes as an input a collection of mathematical papers in LATEX format and
builds their ontology-based Linked Open Data representation. The semantic publishing platform, in turn, is a
central component of OntoMath digital ecosystem [
        <xref ref-type="bibr" rid="ref13 ref14">13, 14</xref>
        ], an ecosystem of ontologies, text analytics tools, and
applications for mathematical knowledge management, including semantic search for mathematical formulas [
        <xref ref-type="bibr" rid="ref15">15</xref>
        ]
and a recommender system for mathematical papers [
        <xref ref-type="bibr" rid="ref16">16</xref>
        ].
      </p>
      <p>
        Despite the fact that OntoMathP RO has proved to be effective in several educational applications, such as
assessment of the competence of students [
        <xref ref-type="bibr" rid="ref9">9</xref>
        ] and recommendation of educational materials in Virtual Learning
Communities [
        <xref ref-type="bibr" rid="ref17 ref18 ref19 ref20">17-20</xref>
        ], its focus on professional mathematics rather than on education prevents it to be a strong
foundation for the digital educational platform. The main differences between OntoMathP RO and a required
educational ontology are the following:
– Conceptualization. OntoMathP RO ontology specifies a conceptualization of professional mathematics, whilst
the required educational ontology must specify a conceptualization of school mathematics. These
conceptualizations are noticeably different, for example, in school conceptualization, Number is a primitive notion,
while in professional conceptualization it is defined as a subclass of Set.
– Selection of concepts. The required educational ontology must contain concepts from a school mathematics
curriculum.
– Terminology. Concepts of OntoMathP RO ontology are denoted by professional terms, whilst concepts of the
required educational ontology must be denoted by school math terms. There isn’t so much difference between
professional and educational terminology in English, but this difference is more salient in such languages
as Russian or Tatar. For example, the term ‘многочлен’ (the native word for ‘polynom’) should be used
instead of the professional term ‘полином’ (the Greek loan word with the same meaning) in educational
environment.
– Didactic relationships. The required educational ontology must contain didactic relationships between
concepts. A didactic relationship between two concepts represents the fact, that the first concept can’t be
learned until the second one is learned. For example, comprehension of the Addition concept is required
to grasp the concept of Multiplication, and, more interesting, to grasp the very concept of Function, even
though, from the logical point of view the later concept is more fundamental and is used in the definitions
of the first two. So, didactic relationships are orthogonal to the logical ones, and are similar to prerequisite
relationships in MOOC or narrative relationships in OMDoc documents.
– Points of view. In addition to universal statements, the required educational ontology must contain
statements relativized to particular points of view, such as different educational levels. For example, a concept
can be defined differently on different educational stages; and a statement can be considered as an axiom
according to one axiomatization, and as a theorem according to another.
      </p>
      <p>With regard to the foregoing, there is a need for developing a new educational ontology OntoMathEdu. In
the rest of the paper we describe our experience of developing a part of this ontology, covering Euclidean plane
geometry.
2</p>
    </sec>
    <sec id="sec-2">
      <title>Ontology structure</title>
      <p>
        According to the project, OntoMathEdu ontology will be organized in three layers:
1. Foundational ontology layer, where a chosen foundational ontology is UFO [
        <xref ref-type="bibr" rid="ref21">21</xref>
        ].
2. Domain ontology layer, which contains language-independent math concepts from the secondary school
mathematics curriculum. The concepts are grouped into several modules, including the general concepts
module and modules for disciplines of mathematics, e.g. Arithmetic, Algebra and Plane Geometry. The
concepts will be interlinked with external LOD resources, such as DBpedia [
        <xref ref-type="bibr" rid="ref22">22</xref>
        ], ScienceWISE [
        <xref ref-type="bibr" rid="ref23">23</xref>
        ] and
OntoMathP RO. Additionally, relaying on the MMT URIs scheme [
        <xref ref-type="bibr" rid="ref24">24</xref>
        ], the concepts can be aligned with
MitM ontology [
        <xref ref-type="bibr" rid="ref25">25</xref>
        ], and through it with the concepts of several computer algebra systems.
3. Linguistic layer, containing multilingual lexicons, that provide linguistic grounding of the concepts from
the domain ontology layer. The lexicons will be expressed in terms of Lemon [
        <xref ref-type="bibr" rid="ref26 ref27">26, 27</xref>
        ], LexInfo and OLiA
[
        <xref ref-type="bibr" rid="ref28">28</xref>
        ] ontologies. A lexicon consists in (a) lexical entries, denoting mathematical concepts; (b) forms of lexical
entries; (c) syntactic trees of multi-word lexical entries, (d) and syntactic frames. A syntactic frame contains
a subcategorization model for a particular lexical entry and its mapping to parameters of a corresponding
math concept (for example, in the “Riemann integral of f over x from a to b” lexical entry, the “from a”
dependent constituent expresses the lower limit of integration). The lexicons will be interlinked with the
external lexical resources from the Linguistic Linked Open Data (LLOD) cloud [
        <xref ref-type="bibr" rid="ref30 ref31">29, 30</xref>
        ], first of all in English
[
        <xref ref-type="bibr" rid="ref32 ref33">31, 32</xref>
        ], Russian [
        <xref ref-type="bibr" rid="ref34">33</xref>
        ] and Tatar [
        <xref ref-type="bibr" rid="ref35">34</xref>
        ].
      </p>
      <sec id="sec-2-1">
        <title>This three-layered structure is represented at Figure 1.</title>
        <p>3</p>
      </sec>
    </sec>
    <sec id="sec-3">
      <title>Domain ontology layer structure</title>
      <p>
        The domain ontology layer of OntoMathEdu is being developed according to the following modelling principles:
1. Common mathematical language conceptualization. OntoMathEdu reflects the conceptualization of the
Common mathematical language (CML) [
        <xref ref-type="bibr" rid="ref36">35</xref>
        ], not that of the language of fully formalized mathematics.
These conceptualizations are very different. For example, according to the fully formalized mathematics
conceptualization, the Set concept subsumes the Vector concept, but in the CML conceptualization Vector
is constituted by Set, and is not subsumed by it. More important, in contrast to the fully formalized
mathematics conceptualization, according to the CML conceptualization, mathematical objects are neither
necessary nor timeless, and the domain of discourse can expand in a process of problem-solving.
2. Strict adherence to ontological distinctions provided by the foundational ontology. For example, we explicitly
mark concepts as Kinds or Roles.
3. Reification of domain relations. Mathematical relations are represented as concepts, not as object properties.
      </p>
      <p>Thus, the mathematical relationships between concepts are first-order entities, and can be a subject of a
statement.
4. Multilinguality. Concepts of ontology contains labels in English, Russian and Tatar.
5. Educational literature warrant. The ontology contains only those concepts, that are represented in actual
education literature.</p>
      <p>Current version of OntoMathEdu contains approximately 600 concepts from the secondary school Euclidean
plane geometry curriculum (5th–9th grades). Concepts are represented as ontology classes and have English,
Russian and Tatar labels. The ontology consists in the following modules: (1) hierarchy of kinds, (2) hierarchy
of roles, (3) hierarchy of reified relationships, and (4) network of points of view.
3.1</p>
      <sec id="sec-3-1">
        <title>Hierarchy of kinds</title>
        <p>
          The main hierarchy of the ontology is a hierarchy of kinds. A kind is a concept that is rigid and ontologically
independent [
          <xref ref-type="bibr" rid="ref21 ref37">21, 36</xref>
          ]. So, for example, the concept of “Triangle” is a kind, because any triangle is always a
triangle, regardless of its relationship with other figures.
        </p>
        <p>The top level of the kind hierarchy consists of the following classes:
1. “Plane figure”, with subclasses such as “Line”, “Polygon”, “Ellipse”, or “Angle”.
2. “Euclidean plane geometry axiom”, with subclasses such as “Axiom of construction of a circle with a given
center and radius”.
3. “Euclidean plane geometry theorem” with subclasses such as “Angle sum theorem of triangle” or “Pythagorean
theorem”.
4. “Euclidean plane geometry problem” with subclasses such as “Problem of straightedge and compass
construction” or “Heron’s problem”.
5. “Unit of measurement”, with subclasses such as “Centimeter”, “Radian”, or “Square meter”.
6. “Measurement and construction tool”, with subclasses such as “Protractor”, “Astrolabe”, “ ‘T-square”, “Sliding
T bevel”, or “Marking gauge”.</p>
        <sec id="sec-3-1-1">
          <title>A fragment of the hierarchy of kinds is represented at the Figure 2.</title>
          <p>3.2</p>
        </sec>
      </sec>
      <sec id="sec-3-2">
        <title>Hierarchy of roles</title>
        <p>
          A role is a concept that is anti-rigid and ontologically dependent [
          <xref ref-type="bibr" rid="ref21 ref37">21, 36</xref>
          ]. An object can be an instance of a role
class only by virtue of its relationship with another object. So, for example, the concept “median” is a role, since
a line segment is a median not by itself, but only in relation to a certain triangle (Figure 3).
Relations between concepts are represented in ontology in a reified form, i.e. as ontological concepts, not as
ontological properties (such representation fits the standard ontological pattern for representing N -ary relation
with no distinguished participant [
          <xref ref-type="bibr" rid="ref38">37</xref>
          ], but is applied to binary relations too). Thus, the relationships between
concepts are first-order entities, and can be a subject of a statement.
        </p>
        <p>The top level of the hierarchy of reified relationships consists of the following classes:
1. “Mutual arrangement of geometric figures on a plane”, with subclasses such as “Inscribed polygon” or
“Triangle with vertices at Euler points”.
2. “Comparison relation between plane figures”, with subclasses such as “Congruent triangles” or “Similar
polygons”.
3. “Plane transformation”, with subclasses such as “Translation” or “Axial symmetry”.
4. “Metric property of a plane figure”, with subclasses such as “Length of a circle”, “Tangent of acute angle in
right triangle”, or “Eccentricity of an ellipse”.
Reified relationships are linked to their participants by object properties (Figure 4).</p>
        <p>A fragment of the hierarchy of reified relationships is represented at the Figure 5.
3.4</p>
      </sec>
      <sec id="sec-3-3">
        <title>Network of points of view</title>
        <p>
          In addition to universal statements, an ontology contains statements relativized to particular points of view.
Points of view are represented using the “Descriptions and Situations” design pattern, and are based on the
top-level ontology DOLCE + DnS Ultralite [
          <xref ref-type="bibr" rid="ref39 ref40 ref41">38-40</xref>
          ].
        </p>
        <p>At present, there are the following types of point of view:
1. Definitions. One and the same concept may be defined in different ways from different points of view. For
example, according to one definition, a concept A is defined by a concept B, and according to another
definition, the concept B is defined by the concept A.
2. Educational levels.</p>
        <sec id="sec-3-3-1">
          <title>Currently, development of the network of points of view is at an early stage.</title>
          <p>3.5</p>
        </sec>
      </sec>
      <sec id="sec-3-4">
        <title>Relations</title>
        <p>The ontology contains the following relations, represented by object properties:
1. Part-whole relation. For example, a “Vertex of a triangle” is a part of a “Triangle”.
2. “Determined by” relation, that holds between a figure and an element, that determines this figure, but is
not its part. For example, a “Circle” is determined by a “Centre of a circle” and a “Radius of a circle”.
3. Relations of ontological dependence that bind a role concept to its depended concept. For example, the
“Focus of an ellipse” concept depends on the “Ellipse” concept and the “Chord of a circle” concept depends
on the “Circle” concept.
4. “Theorem-property” relation, that holds between a figure and a theorem stating a property of this figure.</p>
        <p>For example, a “Triangle” is related to the “Triangle inequality” and the “Theorem on the sum of acute angles
of a right triangle” theorems.
5. “Theorem-criterion” relation, that holds between a figure and a theorem stating a criterion of this figure.
6. “Is expressed by the formula” relation, that holds between a metric property of a geometric figure and a
formula for calculation of this property value. For example, an “Area of a polygon” is related to “Heron’s
formula”.
3.6</p>
      </sec>
      <sec id="sec-3-5">
        <title>External links</title>
        <p>
          Currently, the OntoMathEdu ontology has been interlinked only with DBpedia. The mapping was constructed
semi-automatically on the base of the method proposed in [
          <xref ref-type="bibr" rid="ref42">41</xref>
          ] and then manually verified. This mapping contains
142 connections.
        </p>
        <p>
          Now we are working on interlinking the concepts of OntoMathEdu with the Kind and Role concepts defined
by the UFO foundational ontology. The obtained links can be formalized by the MLT Ontology [
          <xref ref-type="bibr" rid="ref43 ref44">42, 43</xref>
          ] and then
be used to verify the correctness of the OntoMathEdu hierarchies according to the OntoClean methodology [
          <xref ref-type="bibr" rid="ref45">44</xref>
          ].
4
        </p>
      </sec>
    </sec>
    <sec id="sec-4">
      <title>Conclusions</title>
      <p>In this paper, we present a new educational mathematical ontology OntoMathEdu, clarify the context of its
development and describe its current version.</p>
      <p>While there are many educational ontologies on the one hand, and several mathematical ontologies on the
other, to our knowledge, OntoMathEdu is the first general-purpose educational mathematical ontology.
Additionally, it is the first Linked Open Data mathematical ontology, intended to: (1) respect ontological distinctions
provided by a foundational ontology; (2) represent mathematical relationships as first-oder entities; and (3)
provide strong linguistic grounding for the represented mathematical concepts.</p>
      <p>The ontology is under development now, so our first priority is to release its stable version. After that, our
future work will be undertaken in two directions: Firstly, we are going to further develop this ontology according
to the above-mentioned plan. Secondly, we are going to apply the modeling principles, drafted on this project,
in the development of the new revised version of the ontology of professional mathematics OntoMathP RO.</p>
      <p>Acknowledgements. The first part of the work, the development of the domain ontology layer, was funded
by the subsidy allocated to Kazan Federal University for the state assignment in the sphere of scientific activities,
grant agreement no. 1.2368.2017, and Russian Foundation for Basic Research and the government of the region of
the Russian Federation, grant no. 18-47-160007. The second part of the work, the development of the linguistic
layer, was funded by Russian Science Foundation according to the research project no. 19-71-10056.</p>
    </sec>
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