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Reconceptualizing Technical Communication Pedagogy in the Context of Content Management
Published in Tracy Bridgeford, Teaching Content Management in Technical and Professional Communication, 2020
CM “is a set of processes and technologies that supports the collection, managing, and publishing of information in any form or medium” (Wikipedia, n.d.). As a result of its more popular sister term “content management system,” “we tend to look at content management as a digital concept, but it’s been around for as long as content. For as long as humans have been creating content, we’ve been searching for solutions to manage it” (Barker, 2016). As “the process for collection, delivery, retrieval, governance and overall management of information in any format” (Kiwak, n.d.), CM may not necessarily involve digital technologies, although in today’s environment it is hard to imagine it not doing so. Another term that has often been used in its place is “asset management,” although this is more context dependent because it could denote other types of assets, such as financial assets. Whichever the term, content management describes the process of content lifecycle from its creation to its presentation, delivery, storage, reuse, etc.
Content Strategies in the Era of Digital Marketing
Published in Pedro Novo Melo, Carolina Machado, Management and Technological Challenges in the Digital Age, 2018
Xabier Martínez‑ Rolán, Teresa Piñeiro ‑Otero
Piñeiro-Otero and Martínez-Rolán (2016, p. 51) define content curation as ‘the process of collecting, selecting, organising and adapting the relevant information on certain topics or trends on the Web to be published in an attractive and significant way’.
SaaS and PaaS in Cloud
Published in Sunilkumar Manvi, Gopal K. Shyam, Cloud Computing, 2021
Sunilkumar Manvi, Gopal K. Shyam
Content Delivery Network (CDN): It is basically a system of distributed servers which enables you to serve content to your app users with high performance and high availability.
In-network caching in information-centric networks for different applications: A survey
Published in Cogent Engineering, 2023
Conventionally, the content delivery techniques use the client-server model. However, moving the content from the original server to the edge of the Internet (known as local replica server) is a key solution, which has better performance in terms of lower access latency, higher data transfer rate, and less cost than the client-server model. Content distribution network (CDN) through IP multicast is a typical example to address the primary challenge of the Internet (Mosko, 2015). CDN distributes the content from the original server to the end-users through the replica servers that aim to solve the backbone network bottleneck and provide a better quality of service. The contents that are stored and served at replica servers are carefully selected so that the hit rate can approach 100% in some cases. That is to say, CDN can lead to short access delay, increase content distribution rate, and reduce network bandwidth usage significantly (Abu et al., 2014; Halloush et al., 2017; Urueña et al., 2017).
Quick Assessment of Web Content Perceptions
Published in International Journal of Human–Computer Interaction, 2021
Meinald T. Thielsch, Gerrit Hirschfeld
From a technical point of view, ISO 9241–151 defines content as “a set of content objects” and defines a content object as an “interactive or non-interactive object containing information represented by text, image, video, sound or other types of media” (ISO, 2006, p. 3). In the present work, we focus on subjective perceptions of web content that can be assessed using a survey approach and can be rated by typical users. Based on current theories of how users process websites (see Moshagen & Thielsch, 2010; Thielsch & Hirschfeld, 2019), we follow an interactionist perspective: The formation of subjective perceptions relies on the interaction between the characteristics of the perceiver, the use scenario, and the properties of web content objects (as defined in ISO 9241–151; ISO, 2006). Thus, we define the subjective part of website content as users’ general perceptions, impressions, and ratings that result from their interaction with the presented content objects of a website (cf. Thielsch & Hirschfeld, 2019).
Facets of Website Content
Published in Human–Computer Interaction, 2019
Meinald T. Thielsch, Gerrit Hirschfeld
ISO 9241-151 defines content as “a set of content objects,” and content object as “interactive or non-interactive object containing information represented by text, image, video, sound or other types of media” (ISO, 2006, p. 3). In line with this technical description of content, a large body of research tries to extract measures of website quality and reputation from features such as key words, links, or syntactical structure. For example, several metrics, such as HITS (Kleinberg, 1999) or PageRank (Brin, Motwani, Page, & Winograd, 1998), attempt to analyze and rank websites based on link structure. Other metrics, such as BM25F (Robertson & Zaragoza, 2009), RankNet (Burges et al., 2005), or SocialPageRank (Bao et al., 2007), use query terms and the textual content of websites. Content objects and structures are used for automatic classification tasks (e.g., Cai, Yu, Wen, & Ma, 2003; Dumais & Chen, 2000) and automatic content analysis (e.g., Kohli, Kaur, & Singh, 2012; Serrano-Guerrero, Olivas, Romero, & Herrera-Viedma, 2015). These lines of research resulted in powerful classification and search tools. Yet, the content features of a website are perceived and interpreted by its users only. For example, an article on a specific disease may be deemed easy to read by experts in the field but unintelligible by others. Simply measuring syntactic properties or word-frequency neglects interindividual differences that are important for comprehension and consequently for users’ appreciation of web content. Thus, in line with research on data quality (Wang & Strong, 1996) and information quality (DeLone & McLean., 2003), websites are seen as information products for which subjective parameters should be evaluated (Wang, Lee, Pipino, & Strong, 1998).