Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-ranking and Adaptive Learning and Extension
Başlık:
Domain-Specific Knowledge Exploration with Ontology Hierarchical Re-ranking and Adaptive Learning and Extension
Yazar:
Zhao, Grace, author. (orcid)0000-0002-3998-0988
ISBN:
9780438117983
Yazar Ek Girişi:
Fiziksel Tanımlama:
1 electronic resource (119 pages)
Genel Not:
Source: Dissertation Abstracts International, Volume: 79-11(E), Section: B.
Advisors: Xiaowen Zhang Committee members: Theodore Brown; Xiangdong Li; Lixin Tao; Xiaowen Zhang.
Özet:
The goal of this research project is the realization of an artificial intelligence-driven lightweight domain knowledge search framework that returns a domain knowledge structure upon request with highly relevant web resources via a set of domain-centric re-ranking algorithms and adaptive ontology learning models. The re-ranking algorithm, a necessary mechanism to counter-play the heterogeneity and unstructured nature of web data, uses augmented queries and a hierarchical taxonomic structure to get further insight into the initial search results obtained from credited generic search engines. A semantic weight scale is applied to each node in the ontology graph and in turn generates a matrix of aggregated link relation scores that is used to compute the likely semantic correspondence between nodes and documents. Bootstrapped with a light-weight seed domain ontology, the theoretical platform focuses on the core back-end building blocks, employing two supervised automated learning models as well as semi-automated verification processes to progressively enhance, prune, and inspect the domain ontology to formulate a growing, up-to-date, and veritable system.
The framework provides an in-depth knowledge search platform and enhances user knowledge acquisition experience. With minimum footprint, the system stores only necessary metadata of possible domain knowledge searches, in order to provide fast fetching and caching. In addition, the re-ranking and ontology learning processes can be operated offline or in a preprocessing stage, the system therefore carries no significant overhead at runtime.
Notlar:
School code: 0046
Tüzel Kişi Ek Girişi:
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Yer Numarası | Demirbaş Numarası | Shelf Location | Lokasyon / Statüsü / İade Tarihi |
---|---|---|---|
XX(694387.1) | 694387-1001 | Proquest E-Tez Koleksiyonu | Arıyor... |
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