The Legal Rdf Ontology A Generic Model For Legal Documentslegalwebsite
1. The Legal-RDF ontology models the layout, content, and metadata of legal documents using directed acyclic graphs (DAGs).
2. Core classes include DAGNode and DAGModel, which represent nodes and models in a DAG. All classes derive from CoreResource, allowing Dublin Core metadata to be associated with any resource.
3. The ontology distinguishes between predicate verbs and nouns to provide an intuitive vocabulary for modeling statements. It categorizes classes based on elements of a dramatic production, such as actors, roles, and scenes.
Webinar in which Mike Bennett describes the unique approach Hypercube applies to modeling business semantics (the method used in creating the EDM Council's FIBO Business Conceptual Ontology). The end result of creating this kind of business conceptual ontology is that a firm will have a single, canonical source of meaning across all its data resources, like a golden copy but in the semantics space - so we sometimes refer to this a "Golden Ontology".
Mike explains the principles for creating an enterprise conceptual ontology. From this webinar you will learn:
3 things you need to know about ontologies
- Words are not Concepts
- Meaning is not Truth
- Syntax is not Semantics
3 things you need to do to build a Golden reference ontology:
- Classification
- Abstraction
- Partitioning
3 ways to use a Golden Ontology
- Querying across legacy data sources
- Mapping and data integration
- Reasoning with Semantic Web applications
Jarrar: Ontology Engineering and Double ArticulationMustafa Jarrar
Lecture video by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
and http://www.jarrar.info
Scientific And Legal Perspectives On Science Generated For Regulatory Activitieslegalwebsite
This document provides an overview and summary of Silas Walter Adams' 1958 book "The Legalized Crime of Banking and a Constitutional Remedy". The book argues that the Federal Reserve System allows private banks to create money and control credit in an unconstitutional manner. It tells a story about how a farmer lost his life savings of $3,600 when a small town bank failed after the cashier took the money and fled. This sparked the author's 52-year study of banking practices and money creation. The book suggests reforms for Congress to transition money creation from private banks to the U.S. Treasury in a way that does not harm anyone's constitutional rights or disrupt the economy.
The Legal Rdf Ontology A Generic Model For Legal Documentslegalwebsite
1. The Legal-RDF ontology models the layout, content, and metadata of legal documents using directed acyclic graphs (DAGs).
2. Core classes include DAGNode and DAGModel, which represent nodes and models in a DAG. All classes derive from CoreResource, allowing Dublin Core metadata to be associated with any resource.
3. The ontology distinguishes between predicate verbs and nouns to provide an intuitive vocabulary for modeling statements. It categorizes classes based on elements of a dramatic production, such as actors, roles, and scenes.
Webinar in which Mike Bennett describes the unique approach Hypercube applies to modeling business semantics (the method used in creating the EDM Council's FIBO Business Conceptual Ontology). The end result of creating this kind of business conceptual ontology is that a firm will have a single, canonical source of meaning across all its data resources, like a golden copy but in the semantics space - so we sometimes refer to this a "Golden Ontology".
Mike explains the principles for creating an enterprise conceptual ontology. From this webinar you will learn:
3 things you need to know about ontologies
- Words are not Concepts
- Meaning is not Truth
- Syntax is not Semantics
3 things you need to do to build a Golden reference ontology:
- Classification
- Abstraction
- Partitioning
3 ways to use a Golden Ontology
- Querying across legacy data sources
- Mapping and data integration
- Reasoning with Semantic Web applications
Jarrar: Ontology Engineering and Double ArticulationMustafa Jarrar
Lecture video by Mustafa Jarrar at Birzeit University, Palestine.
See the course webpage at: http://jarrar-courses.blogspot.com/2011/09/knowledgeengineering-fall2011.html
and http://www.jarrar.info
Scientific And Legal Perspectives On Science Generated For Regulatory Activitieslegalwebsite
This document provides an overview and summary of Silas Walter Adams' 1958 book "The Legalized Crime of Banking and a Constitutional Remedy". The book argues that the Federal Reserve System allows private banks to create money and control credit in an unconstitutional manner. It tells a story about how a farmer lost his life savings of $3,600 when a small town bank failed after the cashier took the money and fled. This sparked the author's 52-year study of banking practices and money creation. The book suggests reforms for Congress to transition money creation from private banks to the U.S. Treasury in a way that does not harm anyone's constitutional rights or disrupt the economy.
This document outlines John Theodore Goetz's PhD defense presentation on hyperon photoproduction from threshold to 5.4 GeV using the CEBAF Large Acceptance Spectrometer. The presentation has two parts, with part I discussing cascade hyperons, the g12 experiment that collected data on hyperon photoproduction, and g12 kaon data analysis. Part II will present results from g12, including excitation functions of the Ξ hyperon, searches for higher mass Ξ* states and iso-exotic particles, and conclusions.
The document discusses using open data and linked data on the web. It begins by defining open government data and its benefits like transparency and participation. It then explains how the semantic web uses linked data to connect related data across the web. Examples are given of government and other datasets that are available as linked open data. The presentation concludes by proposing future interdisciplinary collaboration to further develop applications using open and linked data.
Office 365 와 Office 2013으로 스마트한 팀 협업 시스템 만들기 - 2. 도구 활용 1Kyoungsoo Jeon
오피스튜터가 창립 14주년을 기념하기 위해 3회에 걸쳐 작년에 이어 워크스마트를 주제로 한 웹캐스트를 준비했습니다. 총 3부 중 두번째 교안 공유합니다.
[주요 내용]
스마트한 팀 협업을 위한 도구 활용 1
- Outlook과 SharePoint 팀 사이트 연동
- Lync를 통한 협업
- OneNote 공유 전자 필기장을 통한 토론과 아이디어 교환
본 교안에 대한 질의 응답 및 교류, 동영상 다시 보기는 아래 페이스북 그룹을 통해 이뤄지고 있습니다.
https://www.facebook.com/groups/officetutor14/
전문가토크릴레이 2탄 Open data and linked data (김학래 박사)Saltlux zinyus
The document discusses open data and linked data. It begins by distinguishing between open data, which makes government data available in any format, and linked data, which structures data using URIs, HTTP, RDF vocabularies and standards. It then provides examples of how open data and linked data have been used by initiatives like Data.gov and Data.gov.uk to increase government transparency and enable public participation.
This document outlines John Theodore Goetz's PhD defense presentation on hyperon photoproduction from threshold to 5.4 GeV using the CEBAF Large Acceptance Spectrometer. The presentation has two parts, with part I discussing cascade hyperons, the g12 experiment that collected data on hyperon photoproduction, and g12 kaon data analysis. Part II will present results from g12, including excitation functions of the Ξ hyperon, searches for higher mass Ξ* states and iso-exotic particles, and conclusions.
The document discusses using open data and linked data on the web. It begins by defining open government data and its benefits like transparency and participation. It then explains how the semantic web uses linked data to connect related data across the web. Examples are given of government and other datasets that are available as linked open data. The presentation concludes by proposing future interdisciplinary collaboration to further develop applications using open and linked data.
Office 365 와 Office 2013으로 스마트한 팀 협업 시스템 만들기 - 2. 도구 활용 1Kyoungsoo Jeon
오피스튜터가 창립 14주년을 기념하기 위해 3회에 걸쳐 작년에 이어 워크스마트를 주제로 한 웹캐스트를 준비했습니다. 총 3부 중 두번째 교안 공유합니다.
[주요 내용]
스마트한 팀 협업을 위한 도구 활용 1
- Outlook과 SharePoint 팀 사이트 연동
- Lync를 통한 협업
- OneNote 공유 전자 필기장을 통한 토론과 아이디어 교환
본 교안에 대한 질의 응답 및 교류, 동영상 다시 보기는 아래 페이스북 그룹을 통해 이뤄지고 있습니다.
https://www.facebook.com/groups/officetutor14/
전문가토크릴레이 2탄 Open data and linked data (김학래 박사)Saltlux zinyus
The document discusses open data and linked data. It begins by distinguishing between open data, which makes government data available in any format, and linked data, which structures data using URIs, HTTP, RDF vocabularies and standards. It then provides examples of how open data and linked data have been used by initiatives like Data.gov and Data.gov.uk to increase government transparency and enable public participation.
소프트웨어 관련 특허 명세서를 검토할 때 필수적으로 체크해야 할 포인트를 담은 자료입니다.
(including essential checkup points for reviewing the patent application document draft, for software related patent)
벤처기업들에게 특허는 최후의 방패일 수 밖에 없습니다.
매달 서초구 NEXTBOX에서 개최되는 엄정한 변리사의 <벤쳐기업을> 세미나를 통해, 가장 든든한 '특허'에 대한 작은 지식을 담아가시기 바랍니다.
세미나 신청 : http://onoffmix.com/event/17016
(위 링크는 매월 갱신됩니다.)
문의 : shawn@blte.kr
갑작스레 사라진 '모뉴엘'이라는 업체에 근무하면서 추진했던 프로젝트입니다.
IoT 허브 및 기타 생태계를 만들기 위한 라인업이구요.
이중 몇개는 모 업체에서 실제로 과제 이양을 받아서 개발 중이라 곧 출시될...라나? 되겠지요? (암튼 원래 출시를 목표로 과제를 이양한 것이라 나오긴 할겁니다)
5. IT Device Ontology no.1 - IT Device Itself HW Function (Action) SW IT Device 의 본질 변하는 것들 hasSoftware provide provide Device Capability, Static(not real use) Ontology
6. IT Device Ontology no.2 - IT Device Evaluation (Subjective Information for IT Devices) HW Function (Action) SW IT Device 의 본질 변하는 것들 hasSoftware provide provide Evaluation hasEvaluation hasEvaluation Device Capability and Evaluation, Static(not real use) Ontology
7. IT Device Ontology no.3 – Environmental Factor (Ubiquitous) HW Function (Action) SW IT Device 의 본질 변하는 것들 use provide Device Capability and Status, Dynamic(real use) Ontology when (temporal) who (foaf) Environmental Factor where (locational) what how why (causal, motivation) event
8. SUDO Ver. 0.1 HW Function (Action) SW IT Device 의 본질 변하는 것들 use provide Device Capability and Status, Dynamic(real use) Ontology when (temporal) who (foaf) Environmental Factor where (locational) what how why (causal, motivation) event
16. 기존 온톨로지 + Event? Device ( 이름 , 크기 , 무게 등의 사양 ) Corporation ( 이름 , 전화번호 , 주소 등 ) People ( 이름 , 주소 등 ) productMaker hasCEO Event Event 의 정의는 온톨로지에 대한 요구사항에 따라 다르다 .
![온톨로지 수동구축팀 ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]](data:image/gif;base64,R0lGODlhAQABAIAAAAAAAP///yH5BAEAAAAALAAAAAABAAEAAAIBRAA7)