Titelaufnahme

Titel
Approach to leverage Websites to application programming interfaces through semantics / by Ioannis Stavrakantonakis
VerfasserStavrakantonakis, Ioannis
Begutachter / BegutachterinnenFensel, Anna ; Auer, Sören
Betreuer / BetreuerinnenFensel, Dieter
ErschienenInnsbruck, March 2017
Umfang244 Seiten : Illustrationen, Diagramme, Karte
HochschulschriftUniversity of Innsbruck, Dissertation, 2017
Datum der AbgabeJanuar 2017
SpracheEnglisch
DokumenttypDissertation
Schlagwörter (DE)vocabulary term / ontology term / ontology discovery / vocabulary discovery / semantic annotation / ontology and vocabulary / vocabulary ranking / ontology ranking / vocabulary term ranking / ontology term ranking
Schlagwörter (EN)vocabulary term / ontology term / ontology discovery / vocabulary discovery / semantic annotation / ontology and vocabulary / vocabulary ranking / ontology ranking / vocabulary term ranking / ontology term ranking
Schlagwörter (GND)Semantic Web / Ontologie <Wissensverarbeitung> / Begriff
Zugriffsbeschränkung
 Das Dokument ist ausschließlich in gedruckter Form in der Bibliothek vorhanden.
Links
Nachweis
Klassifikation
Zusammenfassung (Deutsch)

This manuscript describes a methodology designed and implemented to realise the recommendation of vocabularies based on the content of a given website. The goal of the proposed approach is to generate vocabularies by reusing existing schemas. The automatic recommendation helps to leverage websites to self-described web entities in the Web of Data; understandable by both humans and machines. In this direction, the implemented approach is wrapped within a broader methodology of turning a website in a machine understandable node by using technologies that have been developed in the scope of the Semantic Web vision. Transforming a website to a machine-understandable entity is the first step required by the websites side in order to narrow the gap with web agents and enable the structured content consumption without the need of implementing an Application Programming Interface (API) that would provide read-write functionality. The motivation of the thesis stems from the fact that the data provided via an API is already presented on the corresponding website in most of the cases.

Zusammenfassung (Englisch)

This manuscript describes a methodology designed and implemented to realise the recommendation of vocabularies based on the content of a given website. The goal of the proposed approach is to generate vocabularies by reusing existing schemas. The automatic recommendation helps to leverage websites to self-described web entities in the Web of Data; understandable by both humans and machines. In this direction, the implemented approach is wrapped within a broader methodology of turning a website in a machine understandable node by using technologies that have been developed in the scope of the Semantic Web vision. Transforming a website to a machine-understandable entity is the first step required by the websites side in order to narrow the gap with web agents and enable the structured content consumption without the need of implementing an Application Programming Interface (API) that would provide read-write functionality. The motivation of the thesis stems from the fact that the data provided via an API is already presented on the corresponding website in most of the cases.

Statistik
Das PDF-Dokument wurde 0 mal heruntergeladen.
Lizenz
CC-BY-SA-Lizenz (4.0)Creative Commons Namensnennung - Weitergabe unter gleichen Bedingungen 4.0 International Lizenz