An Ontology-Based Approach to Model the Interconnections between Research Artifacts

  • Tamer Adli Ibrahim Khrais -----> Dr. Iyad Mohammed Al Agha

 A huge amount of research artifacts (e.g. papers, journals) is published on the web,
and there is an emerging need to link these artifacts in a suitable way. While this scholarly
record represents a great source of knowledge, new researchers are struggling to explore
these artifacts, find out the relations between them and determine how they build on each
other. Without doing so, new researchers will not be able to identify research
contributions. Existing digital libraries that archive research papers may provide access
to references or related papers without identifying how and why these references are cited
and used.
While few existing works have addressed the issue of modeling research arguments
(e.g. how researchers interlinked existing research efforts), few research efforts have
discussed how the semantic modeling can be employed in practice to enhance the
research process in practice. The approach of this study builds using an Ontology model
that is main target to offer a practical evidence of the potential of modeling research
arguments for researchers. Example of the solutions we aim to support by utilizing the
model of research argument include: 1) classify research papers based on the degree of
matching in-between them. 2) Match researchers with similar/related/complementary
interests according to the research arguments they give. 3) Identify the successive
research efforts that build on each other and lean to a particular research contribution.
The approach of this study offers several benefits for researchers: First, it will
enable researchers to quickly explore the research domain and recall the relationships
between independent works rapidly. Second, it support collaborative research and
brainstorming by matching and linking researchers who share the same or related
interests, a thing that can be powerful to the research community.