The document discusses domain modeling of UK parliamentary data to inform the development of a new data platform and website. It emphasizes starting with user mental models through sketching exercises. The domain modeling is more important than the final model. It recommends modeling just enough complexity to be useful. Next steps include sense checking models against legislative processes, collaborating with other parliaments, and using the domain model to inform information architecture and interoperability.
The document summarizes the National Archives and Records Administration's (NARA) Electronic Records Archives (ERA) program. The ERA will preserve and provide access to electronic records from all US government entities. The ERA system will be developed incrementally and support records lifecycle management, including ingestion, preservation, access, and collaboration tools. NARA is conducting research to address challenges with preserving electronic records and partnering with other organizations.
This document describes related entity finding on the web and semantic search. It discusses using the structure of semantic data and ontologies to better understand user intent and the meaning of queries and content. This can help improve search accuracy and enable new types of searches beyond traditional keyword matching. The document provides examples of related entity recommendations during web searches and outlines the workflow used to extract features from query and interaction data to identify and rank related entities.
Gleaning provenance from article similarityTristan Ferne
?
by Michael Smethurst, Ian Knopke and Tristan Ferne.
As presented at the BBC News Labs & Trust Project challenge. By measuring the similarity of news articles can we determine the source of a story and can we show clusters of similar news outlets
This document provides an overview of ontologies, URLs, and registers used by the UK Parliament Domain Model. It explains that the domain model defines all the entities and relationships that exist for parliament, and that ontologies are used to formally define these types, properties, and relationships. URLs for the website API are designed based on the domain model and ontologies rather than user journeys. Registers are also discussed as being important components that are defined in the domain model.
1. The document discusses various methods for collecting data from websites, including scraping, using APIs, and contacting site owners. It provides examples of projects that used different techniques.
2. Scraping involves programmatically extracting structured data from websites and can be complicated due to legal and ethical issues. APIs provide a safer alternative as long as rate limits are respected.
3. The document provides tips for scraping courteously and effectively, avoiding burdening websites. It also covers common scraping challenges and potential workarounds or alternatives like using APIs or contracting data collection.
The speaker discusses the semantic web and its potential to make data on the web smarter and more connected. He outlines several approaches to semantics like tagging, statistics, linguistics, semantic web, and artificial intelligence. The semantic web allows data to be self-describing and linked, enabling applications to become more intelligent. The speaker demonstrates a prototype semantic web application called Twine that helps users organize and share information about their interests.
Legal Markup Generation in the Large: An Experience ReportLionel Briand
?
1. SCL is tasked with publishing all Luxembourgish legislation through the Legilux portal, which contains over 91,000 documents. Previously these documents were in PDF format but SCL is transitioning to digital resources with legal metadata.
2. Generating legal metadata for such a large corpus of documents is challenging due to variations in structure, drafting practices, and human errors across documents. No scalable solutions existed for SCL to generate metadata for the complete legislative framework.
3. The researchers developed an automated framework to extract structural metadata from legal texts at scale. It was tested on 5 major codes, generating over 21,000 metadata elements with 91% accuracy. The approach balanced automation with limited manual review
This document provides an overview of a presentation on big data and data science. It covers:
1. An introduction to key concepts in big data including architecture, Hadoop, sources of data, and definitions.
2. Details on common big data reference architectures from companies like IBM, Oracle, SAP, and open source technologies.
3. A discussion of how data science is disrupting various industries and the characteristics of firms using data science successfully.
4. Descriptions of machine learning techniques like segmentation, forecasting, and the overall reference architecture for machine learning involving data storage, signal extraction, and responding to insights.
RDF and OWL are powerful tools for making data smart. RDF uses a simple triple format to represent metadata and link data using unique identifiers, allowing for data integration. OWL builds on RDF by adding more formal semantics and defining concepts, properties, and relationships to allow for automated reasoning and inference over data. Combining OWL and RDF results in smart data that computers can understand, enabling intelligent automation and decision making.
This document provides an overview of REST APIs and testing techniques. It defines key concepts like REST, resources, HTTP verbs and status codes. Testing strategies like the API testing pyramid and heuristics like DEED HELP GC and VADER are introduced. Automated testing tools like REST Assured are also covered. The document concludes with next steps like watching API courses, playing with sample APIs, writing API tests and preparing a quiz.
- The speaker discusses how the semantic web connects all types of information like people, companies, products, etc. using richer semantics to enable better search, targeted ads, collaboration, and personalization.
- Semantic technologies will play a key role in transforming the web from just a file server to an intelligent database over the next decade.
- The speaker demonstrates his company Twine's semantic web platform which allows users to organize, share, and discover content around their interests.
michael hamilton legal database design presentation 3 new yorkmichaelhamilton
?
The document outlines a database design methodology for litigation databases consisting of 5 steps: 1) Draft a mission statement and objectives, 2) Analyze the overall data set, 3) Determine necessary data fields, 4) Determine and define business rules, and 5) Assure data integrity. It then provides examples of typical data fields for a coded litigation database including document ID number, attachment range, document date, type, title, names, characteristics, source, and date loaded. Finally, it proposes a database design for a sample antitrust case involving 500 boxes of documents from 4 sources to be reviewed by multiple attorneys.
Enterprise out of the Box (Serhiy Kharytonov Technology Stream)IT Arena
?
Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
eTrackster is a hosted (SaaS) software suite that uses electronic tracking tools like the internet, barcodes, and email to track inventory, customers, projects, training, events, purchasing, sales orders, and shipping for businesses. It allows for features like notifications, attachments, and integration between modules. The document provides a brief overview of some key modules in eTrackster and notes that it is affordable and easy to implement with little technical support needed.
The document discusses the benefits for researchers to participate in Internet standards bodies like the IETF. It notes that researchers can learn about real-world problems from network operators, vendors and others involved in standards. While standards work has a different focus than academic research, participating allows researchers to directly impact the development of the Internet. The document outlines the structure and processes of the IETF, from initiating new work to moving proposals through working groups to publication. It encourages researchers to get involved to collaborate with others and help build the Internet, while also gaining potential career and funding opportunities.
Webinar presented live on May 11, 2017.
As data is increasingly accessed and shared across geographic boundaries, a growing web of conflicting laws and regulations dictate where data can be transferred, stored, and shared, and how it is protected. The Object Management Group? (OMG?) and the Cloud Standards Customer Council? (CSCC?) recently completed a significant effort to analyze and document the challenges posed by data residency. Data residency issues result from the storage and movement of data and metadata across geographies and jurisdictions.
Attend this webinar to learn more about data residency:
? How it may impact users and providers of IT services (including but not limited to the cloud)
? The complex web of laws and regulations that govern this area
? The relevant aspects ¨C and limitations -- of current standards and potential areas of improvement
? How to contribute to future work
Read the OMG's paper, Data Residency Challenges and Opportunities for Standardization: http://www.omg.org/data-residency/
Read the CSCC's edition of the paper, Data Residency Challenges: http://www.cloud-council.org/deliverables/data-residency-challenges.htm
This document provides an overview of protocols, design conventions, and software used for web authoring. It defines several protocols including URL, top-level domain name, domain name, and domain name registrar. Design conventions like the rule of thirds and serif/sans-serif fonts are discussed. The main types of software for building websites are system software, application software, text editors, and visual editors. HTML is described as the standard markup language used to create web pages, and examples of HTML tags are given.
The document summarizes research in semantic search and its applications. It discusses the evolution of semantic search from early work on the semantic web to current applications using knowledge graphs. It outlines key challenges in semantic search like query understanding and how mobile search is driving new areas like conversational agents and task completion. The use of semantic representations and knowledge bases is helping to improve search quality and enable new interactive applications.
Third Nature - Open Source Data Warehousingmark madsen
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An introductory presentation on open source for data warehousing and business intelligence. Covers some history of open source, projects in different areas, and some information on adoption.
You can download this and demo.case study PDFs at
http://thirdnature.net/tdwi_osbi_material.html
Artificial Intelligence and Law - ?A Primer Daniel Katz
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This document provides an overview of the key concepts in electronic discovery (eDiscovery). It discusses what eDiscovery is, the large volumes of electronically stored information (ESI) that exist, and how ESI is considered under the Federal Rules of Civil Procedure. It then outlines the main stages in the eDiscovery process according to the Electronic Discovery Reference Model (EDRM): preservation, collection, culling and analysis, review, and production. Trends in eDiscovery like cost constraints, proportional discovery, and predictive technologies are also summarized. The presentation aims to educate clients on effective collaboration with law firms for eDiscovery.
This document provides an overview of the key concepts in electronic discovery (eDiscovery). It discusses what eDiscovery is, the large volumes of electronically stored information (ESI) that exist, and how ESI is considered under the Federal Rules of Civil Procedure. It then outlines the main stages in the eDiscovery process according to the Electronic Discovery Reference Model (EDRM): preservation, identification and collection of ESI sources, culling and analysis to remove excess data, review of remaining documents, and production of documents. It notes trends in eDiscovery such as a focus on cost control and proportional discovery.
Texas State Bar 2010 - So What Do I Do Now?Lisa Salazar
?
This document discusses strategies for small law firms to use technology more effectively, including alternative fee arrangements, legal project management, document assembly, mobile applications, cloud-based software, outsourcing, marketing through social media, and ensuring compliance with bar rules when using new technologies. It provides details on specific tools and strategies for timekeeping, document handling, research, communication, and client development.
Fluturas presentation @ Big Data Conclavefluturads
?
This document discusses 5 case studies of companies using big data to solve real-world problems:
1. A telecom company used machine data from perimeter devices to detect security patterns and reduce network threats from hackers and internal activists.
2. An online travel company used customer behavior data to understand travelers' intent and improve customer experience and cross-selling.
3. A company used telecom logs to detect signals in watched lists to enhance national security and prevent threats.
4. Mobile data was analyzed to spot friction points in a travel company's mobile funnel and drive more revenue.
5. Money transmission patterns were modeled using a graph database to minimize fund leakages to watched entities.
The document describes a Linked Data registry that provides infrastructure for organizations to collaboratively manage identifiers and reference data. The registry allows for creation and registration of identifiers, management of shared namespaces, and discovery of published datasets. It provides functions for identifier and list management, acts as a repository for managed and referenced identifiers, and enables namespace management and federation. The registry information model is based on ISO and OASIS standards and supports versioning, status tracking, and federation/delegation. Examples provided illustrate how the registry could be used to manage code lists, local authority identifiers, and support dataset registration.
This presentation was provided by Ivy Anderson of the California Digital Library, during the NISO event, "Library Resource Management Systems: New Challenges, New Opportunities," held October 8 - 9, 2009.
The document discusses the BBC's strategy to use linked data as a context for its content by publishing structured data about its programs, news articles, and other outputs. It explains that linked data allows the BBC to provide context about its content that commercial data lacks, while also giving freedom to build custom APIs. The strategy involves consuming, managing, and publishing linked data, with principles of using the web as a content management system and making the website an API to generate data from content and enable new types of searches.
This document discusses the importance of focusing on people across BBC products and platforms. It notes that the BBC is prioritizing people data and launching a contributor model. Statistics show people generate more search traffic than brands to Wikipedia and on Google Trends, interest in people outlasts interest in brands over time. The document advocates building a linked data platform around people at the BBC to explore content through individuals across different areas like news, knowledge, and entertainment.
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16. Domain Modelling
? Not yet a ¡°computer thing¡±; more user research with a different
technique
? The domain modelling is more important than the domain model
? Don¡¯t ¡°start with user needs¡±. Start with user mental models
? Get people to sketch their view of their world. Sketch back at them
? Accept that some bits of Parliament are complicated. But some bits
are complex
? Model just enough to be useful but no more
19. UK Parliament Domain Model
What
WhenWhere
Who
Holds seat
Constituencies
Rooms
Chambers
Buildings
Estates
Houses
House
Country
Extents
Wards
Parliamentary
constituencies
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21. Ubiquitous language
? Business application labels
? Data model / ontology
? Service layer API
? Models
? Controllers
? URLs
? Markup
? CSS etc
22. Next steps
? Sense check the details around passage of a bill
? Zoom in to specific areas as business applications and the new website
require
? More domain modelling with domain experts (internal and external)
? More domain modelling with end users
? Synthesise the models
? Derive data models (ontologies) from the domain model
? The domain model is not just a step to a data model
? It informs the information architecture of business applications, stapling
tools and the new website
? And how the website interoperates with the wider web
24. Future collaboration
? With House of Representatives on data models and mappings to
schema.org
? With schema.org to map our internal model to search engine friendly
models
? With GDS / NAO on registers (reference data) for common interests
(eg Government departments)
? With other parliaments (via the IPU) to agree on common models
(and differences)
? With Wikidata to map our identifiers to theirs
25. Thanks to
? IDMS
? The Journal Office
? The Table Office
? The Public Bills Office
? Commons Library
? Lords Library
? The Archive
26. Always end on polemic
? Your parliament is not a snowflake