Maps are increasingly becoming more and more popular on web pages, either embedded in existing pages or as dedicated pages. Additionally new tools featuring advanced analytical functionality are also on the up and coming. This increase in web-maps has spawned a great need for geographical data, from basic information, such as administrative boundaries to more detailed information such as hiking trails and similar, in addition there is the information space which holds geo-referenced information, such as images, people and similar.

In a response to this need several large map sites offer the ability to add/change (and even delete) the geographical information seen in the map such as Open Street Map (OSM) and Google Map Maker to mention a few.  Google Map Maker base itself on commercial made information, either freely available or purchased in addition to the contributions from the users, Open Street Map on the other hand base itself solely on user contributions – both approaches has to deal with the accuracy of the data. For the commercial data the accuracy is believed (or guaranteed) to be of some level, often acceptable for the regular user, for the user contributed there are no accuracy provided, however it is believed that it is correct. This problem of accuracy is starting to emerge quite rapidly as the screenshots below indicates. Which map holds the correct information? Well probably it is the one with the most details and with the least jagged lines – and yes, the N50 map is the most semantically correct – not surprising since it is the Norwegian Mapping Authority which is responsible for it. However, how should one know this by just looking at, for instance, the Open Street Map? Or even worse the Yahoo Map?

Comparison between different web maps. From the left; Yahoo Maps, Open Street Map, Gulesider.no, N50 (Norwegian Mapping Authority)

Here is where the legacy of maps come in to play. Maps have an enormous trust among the users – people generally trust their lives with maps and strongly believe that what the map depict is the truth – however that may not be true, at least not always.  The example shown here is quite harmless, but what if it was a reef in the ocean that was slightly jagged in the map, but in real life stretched further? Such accuracy is not communicated with todays maps, at least not as explicitly as it should. Although I believe for the larger part the accuracy is known, probably not in centimetres or meters, but at least in the sense correct/medium/false or similar. The advent of participatory map making communities/tools is also posing in favour of this, as the community as such could rank the semantic validity of the information (this may already exist in for instance OSM?).

So, I suggest that more effort is put into the explicit communication of the accuracy of information communicated in maps.

Some solutions that could support this is either to avoid inaccuracy in the information. This is done at a large scale already by aggregating data (arithmetic average/weighted average etc), filtering from sources (user contributions vs. commercial data), or rating from users. However it is inevitable that inaccuracy occurs, so allowing it (or embracing it) is better than avoiding it. If one is to allow for maps with possibly large inaccuracies, then one must have a way of handling it and presenting it to the user in such way that the user benefits from it and not the opposite. I believe one such method lies in the presentation of data – if it is utmost clear that the data may be inaccurate, then the user can freely decide what he will do with it (trust it or just “keep it in mind” etc). Techniques for this may be;

Several years ago I read a discussion on whether pirate music is an economic deficit or benefit for the music business as a whole. The argument were that the small, “indie” and non-label artist (and their music) got a significant increase in the market as well as the more commercial big labels artists didn’t decrease that much. So combined, they argued that the sum of the “tail” of the popularity graph, relative to the genre/labels/artists, was larger than the sum of the commercial labels, or the most popular music.

This fascinates me alot, and more recently I witnessed another exploitation of this “sum of tail” phenomenon on a FAST presentation during ITovation conference (video stream of fast presentation). FAST recognize that the sum of the “smaller” enterprises that needs enterprise search is larger than a single focused search strategy (public web search, i.e. Google, Yahoo etc).

Inspired by this combined with an interest of knowledge management, creation and acquisition, I thought of the way we acquire knowledge over a period of time. A study is a nice, illustrating, example for this. Over a defined period of time, say 5 years, we are in a process of acquiring a certain set of knowledge, for instance learning certain math skills, software development skills and similar. The set of intentional knowledge is pretty well defined, and we can assume that we learn most of it. However, in the same period of time we acquire other knowledge, often the result of a certain interest or more accidental. Knowledge motivated by special interest can be assumed to be a bit smaller in degree of specialization. Accidental knowledge may be a viril discussion, random web page, TV show and similar. Together this can be a graph similar to the one mentioned earlier.

Knowledge Acquisition over a period of time

So, the essential question. Is the sum of the “tail” of knowledge greater than the “body”? Seperation of tail and body is reasonable to put somewhere in the intersection of interest and accidental. I hypothesize that the tail is larger.

Today I read Atle’s blog post on food and the poor economy of students and how he would like to spend more money on food if it was available (both money and good food). This inspired me, or more triggered me, to write about my interest in food or more specific the creation of food.

The past years I’ve come to realize that I (reluctantly) can be put into the category of a hobby cook. I enjoy cooking, for several reasons, it is relaxing, it is fulfilling in the sense that you get the satisfaction of actually producing something physical and a sense of accomplishment, additionally it (sometimes) releases those gorgouse endorphines by tasting good:)

Okey, now I’m on a rambling streak.

Atle’s post indicated a notion that good food have a strong coherence with the amount of money you spend on it. I disagree in this coherence. One of my satisfactions in cooking is to produce good, primarily healthy, food, that do not cost that much. This can seem trivial, but as Atle pointed out, it isn’t that easy to find good ingredients in the local shops – at least with the limited mobility of a student eagering to get home quickly.

To constrain it even more – making dinner on a regular week day should consume a fairly limited amount of time.

Combined this makes cooking a challenge – but an interesting an fun challenge:)

To sum up. I strongly believe this is possible to achieve and in my quest for this I collect recipes in my wiki (norwegian). Prices are not included as this should not be the primary goal, but a guiding constraint.

Some ending tips. Fresh ingredients are preferred thereby gearing towards making food bottom-up (ie. traditional style). Combined this often leads to a limited price tag and certainly very good tasting. Try it! :)

As for the post’s title – it is misleading, but hopefully attracting – don’t blame the player, blame the game:)