{"id":925,"date":"2015-11-24T19:25:10","date_gmt":"2015-11-24T18:25:10","guid":{"rendered":"https:\/\/blog.insideout.io\/en\/?p=925"},"modified":"2015-11-24T19:25:10","modified_gmt":"2015-11-24T18:25:10","slug":"wordlift-3-0-a-brief-semantic-story-part-1","status":"publish","type":"post","link":"https:\/\/blog.insideout.io\/en\/2015\/11\/24\/wordlift-3-0-a-brief-semantic-story-part-1\/","title":{"rendered":"WordLift 3.0: A brief semantic story \u2013 part 1"},"content":{"rendered":"

In the world of digital networks, the term knowledge<\/i><\/span>\u00a0is generically used to identify and justify all activities aimed at improving data collection and organization. Of all sorts.<\/p>\n

Knowledge can be improved when information is made available for a variety of readings and reports aimed to interpret reality, fantasize on trends, evolution, a possible future, in order to somehow control or dominate it.\u00a0<\/span><\/p>\n

Project processes have a necessary, preparatory activity in a project program<\/i><\/span>, called identification of the reference scenario.<\/i> In short, it consists in discovering and assimilating background contexts, or those that prepare the scene in which the subject of the study, as if it was an actor, inserts itself to explain the reasons for the first plan.<\/p>\n

In computing\u00a0knowledge<\/i><\/span>\u00a0is part of artificial intelligence. In this field the aim is (was) to achieve automation through strategies by making attempts and mistakes. This way of sketching a scenario is called\u00a0 <\/span>Knowledge Representation<\/i>. This symbolic representation was limited by the difficulty to relate various scenario. The usual Tim Berners-Lee, still a WWW leader, is the one responsible\u00a0for its evolution. Through the W3C he launched in 1996 the XML\u00a0standard allowing to add semantic information to contents, so they could be related. It\u2019s the beginning of the Semantic Web\u00a0<\/i>which made it possible to publish, <\/i>alongside documents, information and data in a format allowing machines to automatically process them.<\/p>\n

\u201cMost of the information content in today\u2019s web is designed to be read only by human beings \u2026\u201d (<\/i>Tim Berners-Lee<\/span>\u00a0again) \u201ccomputers cannot process the language in web pages\u201d.<\/i><\/span><\/p>\n

Semantic web means a web whose content is structured so that software can read it: read it, answer questions and interact with users.<\/span><\/p>\n

Introduction freely adapted from .. and for whoever wants to know the whole story<\/span><\/a>.<\/span><\/p>\n

Having introduced the value of any operation aimed to develop what will automatically set or suggest the metadata to be attached to the content in order to make it readable by machines, one still has\u00a0 <\/span>to understand and define the following: what are the components of this structure or metadata? \u00a0 <\/span>How can the significant elements be extracted uniformly disregarding the language? Which types of ontological categorisation and which relations must be activated in a content in order for it to become part of a\u00a0 <\/span>semantic web for all<\/i>? And especially: how can all this be done simultaneously?<\/span><\/p>\n

And this is where the whole research and development area that revolves around the semantic technologies got stuck. We believe that this impasse was also caused by the lack of agreement among the various scientific paths necessary to achieve any kind of standardization. And also because of language and lexical differences, which are pushed towards a kind of \u2018local\u2019 multi-language system by the web itself and by the technologies that are distributed.<\/span><\/p>\n

Considering the topic and the context of this post, we should leap from 1986, when the first markup languages\u00a0were born, to 1998, when the standard XML was defined, and finally today, November 2015. We have performed this leap, at least partially, by means of\u00a0 <\/span>a query<\/span><\/a> (described here below) on Wikidata.<\/span><\/p>\n