Monday Jan 25, 2010
Tuesday Nov 24, 2009
By billy.cripe on Nov 24, 2009
We are in the midst of a series investigating collaboration. We previously wrote about the two types of collaboration - intentional and accidental. INTENTIONAL: where we get together to achieve a goal and ACCIDENTAL: where you interact with something of mine and I am never aware of your interaction While intentional collaboration is good it is not where the bulk of untapped collaborative potential lies. Accidental collaboration is. But the challenge is to intentionally facilitate accidental collaboration. For the full list of 10 requirements see the original post. Last time I wrote about requirement #6: Data Accessibility for People and Computers. This time we will talk about the importance of keeping track of how the information changes over time. No information systems are static. Information is continuously being added, removed and changed in the systems. Even records and governance systems that provide "immutable storage" for information assets are not static when considered from the system view. Accessing the system changes it. If nothing else, a new access record is logged. In many ways such feedback intensive systems are intrinsic to the human experience. It is no wonder that these cybernetic characteristics penetrate our information systems. But we still need to take advantage of them. Consider the simple access log example. We do not merely access the system, we access some information in the system. When we track what item was accessed and graph those accesses over time it changes the information in the context of the system. While the binary information object itself may not be altered, the pattern of access over time yields valuable information. It lets us know that the item is popular, important or unpopular or unimportant. [Read More]
Monday Nov 23, 2009
Thursday Nov 12, 2009
By billy.cripe on Nov 12, 2009
Wednesday Nov 11, 2009
By billy.cripe on Nov 11, 2009
Monday Nov 02, 2009
By billy.cripe on Nov 02, 2009
The data contained within information artifacts must be accessible by people and machines. We will cover 3 main advantages that data accessibility for people and computers deliver. 1. High relevance leads to lean systems. 2. People want relevant information, not potentially relevant hits. 3. Context drives relevancy, delivery drives efficiency. We are in the midst of a series investigating collaboration. We previously wrote about the two types of collaboration - intentional and accidental. INTENTIONAL: where we get together to achieve a goal and ACCIDENTAL: where you interact with something of mine and I am never aware of your interaction While intentional collaboration is good it is not where the bulk of untapped collaborative potential lies. Accidental collaboration is. But the challenge is to intentionally facilitate accidental collaboration. For the full list of 10 requirements see the original post. Last time I wrote about requirement #5: why data must be referencable and portable. This time we will continue on that theme but discuss why the data we made portable and referencable last time must still be accessible to both people as well as computers. First remember that the data we're talking about is not nicely contained in a row or cell in a traditional relational database. The data we're interested in and that we have been talking about is the data that exists inside documents, web pages, images and other information artifacts. So in one way at least, the information is already human accessible. It is in a document or other information artifact after all. And those are typically created by people for people. Parsed and extracted data that is referencable is still accessible because we do not fundamentally alter the original container (i.e. the document). Any good enterprise information architecture must include a fully-fledged ECM (enterprise content management) system for this reason. There needs to be a place to store the original source documents, images, videos and web pages. Also, computers and systems should have no problem accessing the data that we derived from the artifacts in the previous posts. This is because after the data is parsed, extracted and marked up in the ways we've previously described, it gets stored in a computer referencable system like a database or an RDF store or a linked combination of similar stores and indexes. Computers and systems can access that data (of course assuming network connections are established and maintained). Indeed, many SOA and Service Bus integration layers have been doing similar things for some time. They are able to access transaction, web service and request data and attach it to the brokered request while bringing along original documents and other unstructured information files as payload. But did you notice what I just wrote there? The relevant data as well as the containing or supporting unstructured data files are attached to the request and passed around from system to transaction to data store to website. It is the equivalent of carrying around a file cabinet full of stock photos when all I really want is to sort catalog entries on blue shoes. "Blue" is important data that is only accessible by a human looking at a picture. Or, best case, by a computer system that can parse attached metadata assuming that "blue" was entered by a person somewhere further up the line (and not "teal", "aqua", or "navy"). But if a similar SOA request had access to the full complement of parsed and extracted data then it could carry with it only that data that was actually needed rather than the over-full payload it is today. [Read More]
Thursday Oct 22, 2009
Enterprise 2.0 and Content Management
- This blog is now closed.
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