In computer science and information science, an ontology is a formal naming and definition of the types, properties, and interrelationships of the entities that really or fundamentally exist for a particular domain of discourse. It is thus a practical application of philosophical ontology, with a taxonomy. An ontology compartmentalizes the variables needed for some set of computations and establishes the relationships between them. The fields of artificial intelligence, the Semantic Web, systems engineering, software engineering, biomedical informatics, library science, enterprise bookmarking, and information architecture all create ontologies to limit complexity and to organize information. The ontology can then be applied to problem solving.
Category: Content management & strategy (Page 103 of 484)
This category includes editorial and news blog posts related to content management and content strategy. For older, long form reports, papers, and research on these topics see our Resources page.
Content management is a broad topic that refers to the management of unstructured or semi-structured content as a standalone system or a component of another system. Varieties of content management systems (CMS) include: web content management (WCM), enterprise content management (ECM), component content management (CCM), and digital asset management (DAM) systems. Content management systems are also now widely marketed as Digital Experience Management (DEM or DXM, DXP), and Customer Experience Management (CEM or CXM) systems or platforms, and may include additional marketing technology functions.
Content strategy topics include information architecture, content and information models, content globalization, and localization.
For some historical perspective see:
https://gilbane.com/gilbane-report-vol-8-num-8-what-is-content-management/
Content accounting: calculating value of content in the enterprise
Sarah O’Keefe provides a guide for measuring the business value of content for companies of all sizes. Helpful for content professionals, project managers, and senior management. Includes a sample P&L and balance sheet. Justify your project. Read More
Content management on intranets: centralized, distributed, and hybrid models
This will be basic for many of you but is a clear and accessible description of the differences and the pros and cons of each model to share with non-specialist or non-technical colleagues. Read More
Google vs EU pubs and Facebook’s new trick
Frederic Filloux looks at the state of the complicated dance among EU publishers, Google, and Facebook in light of the recent announcements and motivations of each of them, and some research on news search behavior. A good read. Read More
The key to millions: enterprise search?
Steve Arnold dishes out a dose of reality in his inimitable slightly snarky way on the realities of the enterprise search market. Read More
Also…
- Current approaches don’t scale, and it’s not a technical problem… Subscription Friction via Tim Bray
- Wonder why text editors are sometimes funky? Why software is hard?… Text editing hates you too via Lord i/o
- How consent notices are doing IRL… (Un)informed Consent: Studying GDPR Consent Notices in the Field (academic PDF) via arxiv.org
- Is Apple Is Trying to Kill Web Technology? well that seems a bit strong. via OneZero
The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December.
Knowledge management (KM) comprises a range of strategies and practices used in an organization to identify, create, represent, distribute, and enable adoption of insights and experiences. Such insights and experiences comprise knowledge, either embodied in individuals or embedded in organizations as processes or practices.
See also:
The Gilbane Report: Vol 12, Num 9 — KM as a Framework for Managing Knowledge Assets
Natural language processing (NLP) is a subfield of linguistics, computer science, information engineering, and machine learning or artificial intelligence concerned with the interactions between computers and human (natural) languages, in particular how to program computers to process and analyze large amounts of natural language data.
A document management system (DMS) is a computer system (or set of computer programs) used to track and store electronic documents in various forms, including:
- marked-up text files for editing and publishing to printing or electronic display devices, using either proprietary or standard markup languages
- “final form” print-oriented page languages such as PostScript or PDF
- rasterized images that have been scanned for archival or viewing
Basic features included check-in / check-out library services for authors, and version tracking.
Since the emergence of the Web and multichannel content management systems (CMS) in the 1990s and since, document management systems have largely become a subset of the broader content management category.
“Information technology” (IT) likely first appeared in a Harvard Business Review article in November 1958, and refers to the use of computing technology to create, process, manage, store, retrieve, share, and distribute information (data).
Early use of the term did not discriminate between types of information or data, but in practice, until the late 1970s, business applications were limited to structured data that could be managed by information systems based on hierarchical and then relational databases. Also see content technology and unstructured data.
Microsoft puzzling announcements
Jean-Louis Gassée has some good questions, including… “Is Microsoft trying to implement a 21st century version of its old Embrace and Extend maneuver — on Google’s devices and collaboration software this time?” Read More
Integrated innovation and the rise of complexity
While Stephen O’Grady’ post isn’t addressing Microsoft’s recent Surface announcements as Gassée was, it is an interesting companion, or standalone read. Read More
Google and ambient computing
‘Ambient computing’ has mostly been associated with the Internet of Things (IoT). There are many types of computing things. But the most important, from a world domination perspective, are those at the center of (still human) experience and decision-making; that is mobile (and still desktop) computing devices. The biggest challenge is the interoperability required at scale. This is fundamental to computing platform growth and competitive strategies (see Gassée’s question above). Ben Thompson analyzes Google recent announcements in this context. Read More
Attention marketers: in 12 weeks, the CCPA will be the national data privacy standard. Here’s why
Now it’s 10 weeks. Tim Walters makes a good case for his prediction even though other states are working on their own legislation, and Nevada has a policy already in effect. Read More
Also…
- Worthy thoughts on tech competition policy (PDF)… Mozilla on competition and interoperability via Mozilla blog
- For obsessive browser history buffs… Netscape Navigator via Quartz
- California will have an open Internet and so will lots of other states, despite the F.C.C.’s decision. via New York Times
- From the chief… Martech is now a $121.5 billion market worldwide via chiefmartec.com
The Gilbane Advisor curates content for content, computing, and digital experience professionals. We focus on strategic technologies. We publish more or less twice a month except for August and December.
Information management (IM), a rather broad term, that has been described as the collection and management of information from one or more sources and the distribution of that information to one or more audiences. This sometimes involves those who have a stake in, or a right to that information.
Other relevant concepts include information model, information architecture, information integration, and enterprise content management.
Also see:
Gilbane Report Vol 10, Num 5: A Framework for Understanding the Information Management Market
Subscribe to the Gilbane Advisor
