Ruben Verborgh’s data

Matches in Ruben’s data for { <https://ruben.verborgh.org/publications/haesendonck_w3cwot_2019/#publication> ?p ?o }

• publication author me.
• publication author gerald_haesendonck.
• publication author me.
• publication author me.
• publication creator me.
• publication creator gerald_haesendonck.
• publication creator me.
• publication creator me.
• publication about IoT.
• publication about Communication.
• publication about reasoning.
• publication about Linked_Data.
• publication about World_Wide_Web.
• publication author me.
• publication author gerald_haesendonck.
• publication author me.
• publication author me.
• publication coparticipatesWith me.
• publication coparticipatesWith gerald_haesendonck.
• publication coparticipatesWith me.
• publication coparticipatesWith me.
• publication type ScholarlyArticle.
• publication type Article.
• publication type Document.
• publication type Document.
• publication type Document.
• publication type Q386724.
• publication type CreativeWork.
• publication type Work.
• publication P50 me.
• publication P50 gerald_haesendonck.
• publication P50 me.
• publication P50 me.
• publication maker me.
• publication maker gerald_haesendonck.
• publication maker me.
• publication maker me.
• publication title "Linked Data in the Web of Things".
• publication isPartOf proceedings_of_the_second_w3c_workshop_on_the_web_of_things.
• publication name "Linked Data in the Web of Things".
• publication label "Linked Data in the Web of Things".
• publication name "Linked Data in the Web of Things".
• publication topic IoT.
• publication topic Communication.
• publication topic reasoning.
• publication topic Linked_Data.
• publication topic World_Wide_Web.
• publication subject IoT.
• publication subject Communication.
• publication subject reasoning.
• publication subject Linked_Data.
• publication subject World_Wide_Web.
• publication authorList b0_b1978.
• publication topic IoT.
• publication topic Communication.
• publication topic reasoning.
• publication topic Linked_Data.
• publication topic World_Wide_Web.
• publication abstract "The Internet of Things (IoT) consists of many devices and services producing or consuming data over a network, and, by extension, the internet. There are various protocols and data models used by different vendors of things, or middleware, to expose data and APIs to communicate with and consume data of things. The Web of Things (WoT) addresses IoT’s fragmentation by forming a Web-based abstraction layer capable of interconnecting existing IoT platforms, devices, and cloud services and complementing available standards. Specifications of the Web of Things describe data and interaction models exposed to applications, and communication and security requirements for platforms to communicate effectively. At the core of the WoT specifications is the Thing Description, a semantic description of the data and interaction model(s) for a Thing. This helps other Things to perform actions on a Thing, e.g. read or write its properties (the data or state of a Thing). We believe that the WoT can benefit from semantically enhancing a Thing so it contains data values, or state, in the form of self-describing data. This allows powerful semantic processing and reasoning upon its state, and possibly the history of its states. To enable this, we propose a rule-based approach to generate self-describing data from a Thing’s state(s).".
• publication datePublished "2019".
• publication mainEntityOfPage haesendonck_w3cwot_2019.
• publication sameAs publication.
• publication isPrimaryTopicOf haesendonck_w3cwot_2019.
• publication page haesendonck_w3cwot_2019.