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UID:calendar.361096.field_event_date.0@www.wright.edu
DTSTAMP:20260220T001005Z
CREATED:20190705T150122Z
DESCRIPTION:Committee:  Drs. Pascal Hitzler\, Advisor\, Mateen Rizki\, and 
 Yong PeiABSTRACT: Over the years\, the semantic web has emerged as a new g
 eneration of the world wide web featuring advanced technologies and resear
 ch contributions. It has revolutionized the usage of information by allowi
 ng users to capture and publish machine-understandable data and expedite m
 ethods such as ontologies to perform the same.  These ontologies help in t
 he formal representation of a specified domain and foster comprehensive ma
 chine understanding. Although\, the engineering of ontologies and usage of
  logic have been an integral part of the web semantics\, new areas of rese
 arch such as the semantic web search\, linking and usage of open data on t
 he web\, and the subsequent use of these technologies in building semantic
  web applications have also become significant in recent times. One such r
 esearch contribution that we are going to focus on is the browsing of link
 ed RDF data.Semantic web advocates the methodology of linked data to publi
 sh structured data on the web. Most of the linked data is available as bro
 wsable RDF data which is built using triples that define statements in the
  form of subject-predicate-object.  These triples can be tabulated by sort
 ing the three parts into separate columns. To browse the linked data of se
 mantic web\, several web browsers such as CubicWeb\, VisiNav and Pubby wer
 e designed. These browsers provide the users with a tabular browsing exper
 ience displaying the data in nested tables. Also\, they help users navigat
 e through various subjects and their respective objects with the help of l
 inks associated with them. Several other browsers such as Tabulator were d
 eveloped which enable real-time editing of semantic web resources.However\
 , with the tabulated interface\, users may sometimes find it difficult to 
 realize the relationships between the various documents. Also navigating u
 sing the links between subjects and its predicates inside the documents is
  more time consuming which makes the overall user experience tedious. To i
 mprove this\, a linked data browser called Lodmilla is designed. Loadmilla
  provides a graph-based navigation where users can search and extract data
  associations that are hidden inside the linked data with the help of node
 s.  Although this method includes a better user interface\, it does not di
 splay the data that is underlying in the distinct documents. In this paper
 \, we illustrate the development of an interactive browser called the INKB
 rowser that navigates linked data using the schema diagram of a distinct o
 ntology. We have tried to combine the features of both the tabular and gra
 ph-based browsers to offer a schema to data navigation where users can fin
 d the relationships between various nodes in the graph along with the data
  contained in each node. We have evaluated our tool by comparing it with a
  similar browser that navigates without a schema view. In the end\, we pre
 sent the adequacy of both renderings. 
DTSTART;TZID=America/New_York:20190711T113000
DTEND;TZID=America/New_York:20190711T133000
LAST-MODIFIED:20190705T172934Z
LOCATION:304 Russ Engineering
SUMMARY:Masters Thesis Defense “Leveraging Schema Information for Improved 
 Knowledge Graph Navigation” By Rama Someswar Chittella
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 leveraging-schema-information-improved-knowledge-graph-navigation%E2%80%9D
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