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Book ChapterDOI

The ONTORULE project: Where ontology meets business rules

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TLDR
The architecture and the semantic technologies that the ONTORULE project proposes to business rule application development are introduced and that are validated and demonstrated in two pilot applications are introduced.
Abstract
The objective of ONTORULE is to enable users, from business executives over business analysts to IT developers, to interact in their own way with the part of a business application that is relevant to them. This extended abstract describes the approach the ONTORULE project proposes to business rule application development, and it introduces the architecture and the semantic technologies that we develop for that purpose and that are validated and demonstrated in two pilot applications.

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Journal ArticleDOI

Data-Driven Materials Science: Status, Challenges, and Perspectives

TL;DR: In this article, the historical development and current state of data-driven materials science, building from the early evolution of open science to the rapid expansion of materials data frastructures are discussed.
Journal ArticleDOI

Semantic annotation for knowledge explicitation in a product lifecycle management context

TL;DR: This work collects a number of literature that applied semantic annotations on different objects, and classify them according to the subject being described in an enterprise architecture framework, and identifies the existing drawbacks.
Journal ArticleDOI

A survey on knowledge representation in materials science and engineering

TL;DR: The representation of materials knowledge in recent decade especially from an ontological perspective is surveyed, and comparison criteria for the survey are given, which primarily focuses on ontological aspects and materials application aspects.
Book ChapterDOI

Integrating Social Media and Open Data in a Cloud-Based Platform for Public Sector Advertising

TL;DR: The findings related to the use of content from social networks as public ads are presented and an open and collaborative platform that supports semantically-enabled, participative PSA is proposed.