 Hello, everyone. In my paper, I'm going to present an international project in which my university, Adam Mitskewicz University in Poznań, participates. The project is related to managing big data in archaeology. And it will be rather brief presentation due to limited time, so my presentation also will be around eight minutes. And I will do that in the three short following steps. So let's start with a short introduction to the project. Sejshat, the Global History Data Bank, is a massive international database of information on past societies. It was founded in 2011 as a response of necessity of organization of vast amount of data collected by historians. So it was born on the ground of history first. Here you've got the project website, so I encourage everyone to just open and you can find every information on the project. So what is Sejshat? It's a very comprehensive data bank that comprises different variables, different aspects of past societies, like social, economic, ritual, warfare, and track their development of these aspects through time in a selected areas. It's therefore designed as a general tool for identifying long-term trends and asking big questions. And moreover, this is a tool for testing various hypotheses and theories about the social evolution and historical dynamics. In the future, it will become a very powerful tool that allows users to ask a very broad set of questions about the past. Sejshat extracts data from different sources, websites, academic publications, human experts. And the long-term goal, it's very ambitious, actually, because the long-term goal is to incorporate the data of all human past societies. And at the moment, the Sejshat database is running on a wiki engine. So similar, the same as Wikipedia, which allows great flexibility and a large number of users working on the database. However, as I will show you in a moment, it will change in the future. So the plan is to move to some very advanced IT scheme. So on the ground of Sejshat, the Global History Data Bank, archaeological Sejshat was born. When after a long discussion and the practice of collecting data, we realized that actually Sejshat lacked some important archaeological variables. And also, we lacked some proxies that could translate the archaeological data into this Sejshat coding data collecting template. So actually, the archaeological Sejshat developed in a few stages. I don't have time to describe this in the test. I need to mention the Oxford team. So the team from Oxford University initiated the discussion. So people like Peter Turchin or Harvey Whitehouse, they started this initiative to create archaeological Sejshat. We also have a couple of meetings on which we discussed the archaeological Sejshat. And I have to mention that now and in the future, quite a number of people around the world, teams from different institutions, volunteers, have been working on it. And we still are looking for some more volunteers. So here are just a couple of examples of the key archaeological categories that were generated as a result of those discussions. So just examples, what set of questions we are asking, we are looking for while collecting the data. And just we don't have much time, but I want to show you just a quick look what we are doing in Poznań, how we employ archaeological Sejshat in practice. So we selected around 70 areas through Near East, from the Near East, through Anatolia, Balkans and Central Europe. And we are tracing the development of Neolithic way of life. And the collected data in the future will allow us to test different hypotheses concerning the spreading of Neolithic and tracing different changes in different aspects. So later on, if you have any questions about the practice, I'm happy to answer that. So in the final part, what is the future of Sejshat? So Sejshat is one of the use case of the bigger European project called ELITE. So ELITE is a European Union project that began in 2015, and it will end in January, 2018. So pretty soon. So the main focus of ELITE project is developing methods, tools for engineering information systems. And in terms of Sejshat, so ELITE will help us to develop a platform for Sejshat database. So we are going to transfer Sejshat from wiki format into the RDF standard, and the Sejshat data will be stored in a triple store database. So... Okay, one of those tools is Dakura, so created and managed by Trinity College Dublin. So it's a great example of a tool who will allow us to make this data-gathering process more quick, more effective, and... Well, yes, and actually I need to mention that we already managed to... Because the program is in the making, but we managed to release a first portion of data in this new RDF format. So, yeah. Anyway, those tools will allow us to move away from manual data harvesting. They will speed up the gathering process and later also querying and searching for the information. Those tools are based on the idea that the tools allow us to go over a large digital text amount and search for relevant information, and also those tools would structure the data-gathering process which would keep track of data quality and information quality. So to sum up, in the future, Seishat will become an extremely powerful and one of the... Well, let's face it, one of the largest data banks on human history and prehistory. It will incorporate tools for automatic harvesting of data from internet-accessible sources, databases like, for example, JSTOR. It will allow us to look through vast amounts of data, and test different theories on social revolution. Okay, that will be it. Thank you.