The explosive growth of textual data on the web coupled with the increase on demand for
ontologies to promote the semantic web, have made the automatic ontology construction …

Ontologies are often viewed as the answer to the need for interoperable semantics in
modern information systems. The explosion of textual information on the Read/Write Web …

Ontologies have gained a lot of popularity and recognition in the semantic web because of
their extensive use in Internet-based applications. Ontologies are often considered a fine …

We provide a comprehensive survey of the research literature that applies Information
Extraction techniques in a Semantic Web setting. Works in the intersection of these two …

The goal of information retrieval (IR) systems is to find the contents most closely related to
the user's information needs from a pool of information. However, conventional IR methods …

The scholarly information-seeking process for behavioral research consists of three phases:
searching, accessing, and processing of past research. Existing IT artifacts, such as Google …

With the rapid development of smart cities, various types of sensors can rapidly collect a
large amount of data, and it becomes increasingly important to discover effective knowledge …

The design of complex engineering systems is an often long and articulated process that
highly relies on engineers' expertise and professional judgment. As such, the typical pitfalls …

Open ontology learning is the process of extracting a domain ontology from a knowledge
source in an unsupervised way. Due to its unsupervised nature, it requires filtering …

Extant systems engineering standards are so fragmented that the conceptualization of a
cohesive body of knowledge is not easy. The discrepancies between different standards …