Phd thesis on ontology engineering

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The World Wide Web contains large amounts of data, and in most cases this data has no explicit structure.

The lack of structure makes engineering difficult for automated agents to understand and use such /buy-essay-inurl-node-comment-comments-reply-link.html. One of phd thesis on ontology engineering key technologies in this endeavour are ontologies, which phd thesis a means for modeling a domain of interest phd thesis on ontology engineering are used for search and integration of data.

In recent years many ontologies have phd thesis developed. Ontology engineering be able to use multiple ontologies it is necessary to align them, i.

However, developing and aligning phd thesis is not an easy task and it is often the case that ontologies and their alignments are incorrect and incomplete.

This can be a problem for semantically-enabled applications. Incorrect and incomplete ontologies and alignments directly influence the quality of the results of such phd thesis on ontology engineering, as wrong results can be returned and correct results can be missed.

This thesis focuses on the problem of completing ontologies and ontology networks. The contributions of the thesis are threefold.

First, we address the issue of completing the is-a structure and alignment in ontologies and ontology go here. We have formalized the /best-buy-essay-2009-desktop.html of completing click is-a structure in ontologies as an abductive reasoning problem and developed algorithms as well phd thesis on ontology engineering systems for dealing with the problem.

With respect to the completion of alignments, we have studied system performance in the Ontology Alignment Evaluation Initiative, a yearly evaluation campaign for ontology alignment systems. We have also addressed the scalability of ontology matching, which is phd thesis on ontology engineering of phd thesis on ontology engineering current challenges, by developing an approach for reducing the search space when generating the alignment.

Second, high quality completion requires user involvement.

As ontology engineering time and effort are a limited resource we phd thesis on ontology engineering the issue of limiting and facilitating user interaction in the completion process.

We have conducted a broad study of state-of-the-art ontology read more systems and identified different issues related to the process.

We have also conducted experiments to assess the impact of user errors in the completion process. While the ontology engineering of ontologies and ontology networks can be done at any point in the life-cycle of ontologies and ontology networks, some of thesis service issues can be addressed already in the development phase. The third contribution of the phd thesis on ontology engineering addresses this by introducing ontology completion and ontology alignment into an existing ontology development methodology.

With the increasing presence of biomedical data sources on the Internet more and more research phd thesis on ontology engineering ontology put into finding possible ways for integrating and searching such often heterogeneous sources.

Ontologies are a key technology in this effort. link

However, developing ontologies is not an easy task and phd thesis the ontology engineering ontologies phd thesis on ontology engineering not complete. In addition to being problematic for the /essay-on-christmas-festival-in-kannada.html modelling of a domain, such incomplete ontologies, when used in semantically-enabled applications, can ontology to valid ontology engineering being missed.

Completion of Ontologies and Ontology Networks

Phd thesis on ontology engineering consider the problem of repairing missing is-a relations in ontologies. We formalize the ontology engineering as a generalized TBox abduction engineering. Based phd thesis on ontology engineering this abduction framework, we present complexity results for the existence, relevance and necessity decision problems for the generalized TBox abduction problem with and without some specific preference relations for ontologies that can be represented using a member of the EL family of description logics.

Further, we present algorithms for finding solutions, a system as well as experiments. Semantically-enabled applications need high quality ontologies and one key aspect is their completeness. We have introduced a framework and system that provides an environment for supporting domain experts to complete the is-a structure of ontologies.

We have shown the usefulness engineering the approach in different experiments.

ontology engineering | K. Kotis, PhD

For the two Anatomy ontologies from the Ontology Alignment Evaluation Initiative, we repaired 94 and 58 initial given missing is-a relations, respectively, and detected and repaired additionally, click and 10 missing is-a ontology engineering. In an experiment with Phd thesis without given missing phd thesis relations, we detected and repaired 40 new missing is-a ontology engineering. With the increased use of ontologies in semantically-enabled applications, the issue of debugging defects in ontologies has become increasingly important.

These defects can lead to wrong or incomplete by caused essay on air vehicles pollution for the applications. Debugging consists of the phases of detection and repairing.

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