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    <journal-meta />
    <article-meta>
      <title-group>
        <article-title>Closed-World Semantics for Conjunctive Queries with Negation over ELH⊥ Ontologies (Abstract)?</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Chair for Automata Theory</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Technische Universität Dresden</string-name>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Germany firstname.lastname@tu-dresden.de</string-name>
        </contrib>
      </contrib-group>
      <abstract>
        <p>The biomedical domain is a fruitful area for ontology-mediated query answering (OMQA) methods, due to the availability of large ontologies covering a multitude of topics1 and the demand for managing large amounts of patient data, in the form of electronic health records (EHRs) [7]. For example, for the preparation of clinical trials2 a large number of patients need to be screened for eligibility, and an important area of current research is how to automate this process [4, 13, 16-18].3 However, ontologies and EHRs mostly contain positive information, while clinical trials also require certain exclusion criteria to be absent in the patients. For example, we may want to select only patients that have not been diagnosed with cancer,4 but such information cannot be entailed from the given knowledge. The culprit for this problem is the open-world semantics, which considers a cancer diagnosis possible unless it has been explicitly ruled out. We consider here the problem of answering conjunctive queries with (guarded) negation (NCQs) [3] over ontologies formulated in ELH⊥, which covers many biomedical ontologies.</p>
      </abstract>
    </article-meta>
  </front>
  <body>
    <sec id="sec-1">
      <title>-</title>
      <p>
        Epistemic logics are another way to give a closed-world-like semantics to
negated formulas. There, one can formulate queries like “no cancer diagnosis is
known” using the epistemic knowledge modality K. The semantics of this operator
checks whether the inner formula is true in a specified set of possible worlds (e.g.
the set of all models of the given knowledge base [
        <xref ref-type="bibr" rid="ref6">6</xref>
        ]). However, such formalisms
are also unable to deal with closed-world knowledge over anonymous objects [
        <xref ref-type="bibr" rid="ref19">19</xref>
        ],
because the behavior of a given anonymous object cannot be compared among
multiple models.
      </p>
      <p>One way to fix this is to Skolemize the knowledge base, effectively introducing
a unique identifier (consisting of nested Skolem functions and an individual name)
for each relevant anonymous object, allowing us to keep track of the object when
comparing multiple (Herbrand) models. The problem with this approach is that
all existential restrictions on the right-hand side of concept inclusions need to be
Skolemized, and corresponding objects are forced to exist in all Herbrand models.
However, some of these objects may be redundant and may lead to spurious
answers to queries containing negation.</p>
      <p>
        Most closely related to our proposal are Datalog-based semantics for negation,
based on the (Skolem) chase construction [
        <xref ref-type="bibr" rid="ref11 ref2">2, 11</xref>
        ]. The important feature here
is that a single canonical model is used for all inferences. However, using the
Skolem chase suffers from the same drawback of Skolemization described above.
One can avoid the creation of spurious objects with chase variants such as the
restricted chase [
        <xref ref-type="bibr" rid="ref10">10</xref>
        ] or the core chase [
        <xref ref-type="bibr" rid="ref8">8</xref>
        ], which, however, do not always produce
a unique canonical model. Moreover, to the best of our knowledge, there exist no
results on query answering in Datalog-based languages with negation over these
other chase variants.
      </p>
      <p>
        Our Contribution
The contribution of this paper is a new closed-world semantics for answering
NCQs over ELH⊥ ontologies. Our semantics is based on the minimal canonical
model, which is a unique representation of all inferences of the ontology, in the
most concise way possible. In order to properly handle negative knowledge about
anonymous objects, we have to be careful in the construction of the minimal
canonical model, in particular about the number and types of anonymous objects
that are introduced. Instead of open-world semantics, we use a minimal-world
semantics, in which NCQs are evaluated directly over the minimal canonical
model. For the purposes of answering standard CQs without negation, the
minimal canonical model behaves as a usual canonical model, which means that
our semantics generalizes the standard open-world semantics. Since in general
the minimal canonical model is infinite, we develop a rewriting technique, in the
spirit of the combined approach of [
        <xref ref-type="bibr" rid="ref12 ref15">12, 15</xref>
        ], and most closely inspired by [
        <xref ref-type="bibr" rid="ref5 ref9">5, 9</xref>
        ],
which allows us to evaluate rooted NCQs over a finite part of the canonical model
using traditional database techniques.
      </p>
      <p>The full version of the paper, including all proofs, can be found at https:
//tu-dresden.de/inf/lat/papers.</p>
      <p>Closed-World Semantics for ELH⊥ Ontologies (Abstract)</p>
    </sec>
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