Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams
The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmo...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| التنسيق: | Online |
| اللغة: | الإنجليزية |
| منشور في: |
KIT Scientific Publishing
2021
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | ONIX_20210816_9783731510765_10 |
| الوسوم: |
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| _version_ | 1869530256915824640 |
|---|---|
| author | Frank, Matthias T. |
| author_browse | Frank, Matthias T. |
| author_facet | Frank, Matthias T. |
| author_sort | Frank, Matthias T. |
| collection | Directory of Open Access Books |
| description | The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data. |
| format | Online |
| id | doab-20.500.12854ir-71661 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | KIT Scientific Publishing |
| publisherStr | KIT Scientific Publishing |
| record_format | ojs |
| spelling | doab-20.500.12854ir-716612025-08-13T14:10:54Z Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams Frank, Matthias T. Internet der Dinge Linked Open Data Datenstromverarbeitung Wissensgraph Sensordatenharmonisierung Internet of Things data stream processing corporate knowledge graph sensor data harmonization thema EDItEUR::K Economics, Finance, Business and Management::KC Economics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics The rise of the Internet of Things leads to an unprecedented number of continuous sensor observations that are available as IoT data streams. Harmonization of such observations is a labor-intensive task due to heterogeneity in format, syntax, and semantics. We aim to reduce the effort for such harmonization tasks by employing a knowledge-driven approach. To this end, we pursue the idea of exploiting the large body of formalized public knowledge represented as statements in Linked Open Data. 2021-08-17T04:00:30Z 2021-08-17T04:00:30Z 2021-08-16T09:31:21Z 2021 book ONIX_20210816_9783731510765_10 OCN: 1272923367 https://library.oapen.org/handle/20.500.12657/50449 9783731510765 https://directory.doabooks.org/handle/20.500.12854/71661 eng open access image/jpeg image/jpeg image/jpeg image/jpeg n/a n/a n/a n/a https://library.oapen.org/bitstream/20.500.12657/50449/1/9783731510765.pdf https://library.oapen.org/bitstream/20.500.12657/50449/1/9783731510765.pdf https://library.oapen.org/bitstream/20.500.12657/50449/1/9783731510765.pdf https://library.oapen.org/bitstream/20.500.12657/50449/1/9783731510765.pdf KIT Scientific Publishing KIT Scientific Publishing 10.5445/KSP/1000128146 10.5445/KSP/1000128146 68fffc18-8f7b-44fa-ac7e-0b7d7d979bd2 9783731510765 AG Universitätsverlage KIT Scientific Publishing 236 Karlsruhe open access |
| spellingShingle | Internet der Dinge Linked Open Data Datenstromverarbeitung Wissensgraph Sensordatenharmonisierung Internet of Things data stream processing corporate knowledge graph sensor data harmonization thema EDItEUR::K Economics, Finance, Business and Management::KC Economics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics Frank, Matthias T. Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams |
| title | Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams |
| title_full | Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams |
| title_fullStr | Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams |
| title_full_unstemmed | Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams |
| title_short | Knowledge-Driven Harmonization of Sensor Observations: Exploiting Linked Open Data for IoT Data Streams |
| title_sort | knowledge driven harmonization of sensor observations exploiting linked open data for iot data streams |
| topic | Internet der Dinge Linked Open Data Datenstromverarbeitung Wissensgraph Sensordatenharmonisierung Internet of Things data stream processing corporate knowledge graph sensor data harmonization thema EDItEUR::K Economics, Finance, Business and Management::KC Economics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics |
| topic_facet | Internet der Dinge Linked Open Data Datenstromverarbeitung Wissensgraph Sensordatenharmonisierung Internet of Things data stream processing corporate knowledge graph sensor data harmonization thema EDItEUR::K Economics, Finance, Business and Management::KC Economics thema EDItEUR::K Economics, Finance, Business and Management::KC Economics |
| url | ONIX_20210816_9783731510765_10 |
| work_keys_str_mv | AT frankmatthiast knowledgedrivenharmonizationofsensorobservationsexploitinglinkedopendataforiotdatastreams |