Wednesday, November 22, 2017

Law of the Land and Corpus Legis

http://corpuslegis.stanford.edu/corpuslegis/documentation/corpuslegis.html

The way I understand a thing is to take different point of entry to the problem.  Blockchain is a point of entry for example.  Mapping GIS and overlays is another example related to my examination of county assessor records and an Interactive Map of properties relating geographical to taxlots to property tax records.

Today I looked at a new way to look at things from a different point of entry (the lead link) to the domain.  Influenced by a geo-mapping approach at a more conceptual level related to property assessment.  It is like mixing law and rules an overlaying them on a physical map.   It takes the laws and rules and converts them to data in a shared environment among many entities.

It is a new way, a higher order way of looking at things that relate to the land.  In ArcGIS yesterday I looked at a map of the USA and went to overlay search there were thousands of different overlays to apply to the map.  Narrowing it down to Deschutes County, the City of Bend and surrounding areas there were pages of overlays to apply.

Last year I looked at a fire hydrant overlay on a map of Bend.  A house on my block burned down.  I was amazed at the number of rules and regs related to fire hydrants.  Applicable to specific unique hydrants (uniquely identifying them with serial tags as well) depending on geographical relationships of the hydrants to the area of their position.  Conceptually it was a visual relational data base with some link to related things but relatively few links out of all the possible linkages that could be made.

There are a lot of rules, regs, legal definitions relating to county property taxes that extend to Federal, State, County and Local levels of government as well as segmented property zones and neighborhoods  within a city.

Corpus Legis would integrate all of that.  In the case of a strong relationship to land and property it would seem that all the land related rules and regs are all related to one thing:  A geographic map as a data base point of entry.

What if I could click on any taxlot property in Bend and select an overlay that is applicable to it.  How many overlays could that potentially be?  Thousands I imagine.  Most related to laws and regulations.

The challenge is to establish the relationships and code them!

The payoff is big!

State ORS Law, Department level implementing OAR, such as the Department of Revenue which tend to perhaps be more computational in nature and then County/City codes and regulations come down from the top to the bottom.  Corpus Legis attempts to connect it all in common use data file.

https://www.youtube.com/watch?v=3SGURgOH6sI

Epilog software interprets the rules.

Related: https://www.opengovfoundation.org

JSON :  https://www.json.org/ Perhap I should learn to think in this manner and use as a formalized standard means to express ideas in this blog....? So somebody other than me can understand it.  It does require the use of a common more precise language!

Since I am looking at things from a GIS viewpoint then perhaps this: https://en.wikipedia.org/wiki/GeoJSON
Yea!  Exactly.  Relating spatial to non-spatial!
GeoJSON[1] is an open standard format designed for representing simple geographical features, along with their non-spatial attributes. It is based on JSON, the JavaScript Object Notation.

Two things:  represent land spatial position and their conceptualized things that have non spatial attributes.  Simple.  I like it.  Standard language to reduce complexity to simplicity and reduce ambiguity.

https://en.wikipedia.org/wiki/Semantic_Web
Tim Berners-Lee originally expressed the vision of the Semantic Web as follows:
I have a dream for the Web [in which computers] become capable of analyzing all the data on the Web – the content, links, and transactions between people and computers. A "Semantic Web", which makes this possible, has yet to emerge, but when it does, the day-to-day mechanisms of trade, bureaucracy and our daily lives will be handled by machines talking to machines. The "intelligent agents" people have touted for ages will finally materialize.[8]

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