Paper 192. in CISTI 2021: OntoDRE: An Ontology For The Requirements...James Miranda
TITLE: "OntoDRE: An Ontology For The Requirements Engineering Decision Process"
TO CITE:
J. W. Pontes Miranda and R. Cristiane Gratão de Souza, "OntoDRE: An ontology for the requirements engineering decision process," 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021, pp. 1-6, DOI: 10.23919/CISTI52073.2021.9476446.
BiBTex:
@INPROCEEDINGS{9476446, author={Pontes Miranda, James William and Cristiane Gratão de Souza, Rogéria}, booktitle={2021 16th Iberian Conference on Information Systems and Technologies (CISTI)}, title={OntoDRE: An ontology for the requirements engineering decision process}, year={2021}, volume={}, number={}, pages={1-6}, doi={10.23919/CISTI52073.2021.9476446}}
The official presentation took place online on 24th Jun 2021 during the "Software Systems, Architectures, Applications and Tools" session. For more information, visit http://www.cisti.eu/
Semantic Web in Action: Ontology-driven information search, integration and a...Amit Sheth
Amit Sheth's Keynote talk given at: “Semantic Web in Action: Ontology-driven information search, integration and analysis,” Net Object Days 2003 and MATES03, Erfurt, Germany, September 23, 2003. http://knoesis.org
Note: slides 51-55 have audio.
A lecture/conversation focusing on the first 12 years of Semantic Web - delivered on February 21, 2012.
See http://j.mp/SWIntro for more details. More detailed course material is at http://knoesis.org/courses/web3/
Prov-O-Viz is a visualisation service for provenance graphs expressed using the W3C PROV vocabulary. It uses the Sankey-style visualisation from D3js.
See http://provoviz.org
Managing Metadata for Science and Technology Studies: the RISIS caseRinke Hoekstra
Presentation of our paper at the WHISE workshop at ESWC 2016 on requirements for metadata over non-public datasets for the science & technology studies field.
Paper 192. in CISTI 2021: OntoDRE: An Ontology For The Requirements...James Miranda
TITLE: "OntoDRE: An Ontology For The Requirements Engineering Decision Process"
TO CITE:
J. W. Pontes Miranda and R. Cristiane Gratão de Souza, "OntoDRE: An ontology for the requirements engineering decision process," 2021 16th Iberian Conference on Information Systems and Technologies (CISTI), 2021, pp. 1-6, DOI: 10.23919/CISTI52073.2021.9476446.
BiBTex:
@INPROCEEDINGS{9476446, author={Pontes Miranda, James William and Cristiane Gratão de Souza, Rogéria}, booktitle={2021 16th Iberian Conference on Information Systems and Technologies (CISTI)}, title={OntoDRE: An ontology for the requirements engineering decision process}, year={2021}, volume={}, number={}, pages={1-6}, doi={10.23919/CISTI52073.2021.9476446}}
The official presentation took place online on 24th Jun 2021 during the "Software Systems, Architectures, Applications and Tools" session. For more information, visit http://www.cisti.eu/
Semantic Web in Action: Ontology-driven information search, integration and a...Amit Sheth
Amit Sheth's Keynote talk given at: “Semantic Web in Action: Ontology-driven information search, integration and analysis,” Net Object Days 2003 and MATES03, Erfurt, Germany, September 23, 2003. http://knoesis.org
Note: slides 51-55 have audio.
A lecture/conversation focusing on the first 12 years of Semantic Web - delivered on February 21, 2012.
See http://j.mp/SWIntro for more details. More detailed course material is at http://knoesis.org/courses/web3/
Prov-O-Viz is a visualisation service for provenance graphs expressed using the W3C PROV vocabulary. It uses the Sankey-style visualisation from D3js.
See http://provoviz.org
Managing Metadata for Science and Technology Studies: the RISIS caseRinke Hoekstra
Presentation of our paper at the WHISE workshop at ESWC 2016 on requirements for metadata over non-public datasets for the science & technology studies field.
PragmaticWeb 4.0 - Towards an active and interactive Semantic Media WebAdrian Paschke
Keynote at W3C Regional Event - Aspects of Semantic Technologies; Fachtagung Semantische Technologien26.-27. September 2013 | HU Berlin
http://semantic-media-web.de/referenten/?detail=33
Linked data for Enterprise Data IntegrationSören Auer
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.
Linking Big Data to Rich Process DescriptionsChristoph Lange
Linked (Open) Data is one key to coping with Big Data: it enables decentralised, collaborative management of big datasets, low-overhead information retrieval, and scalable reasoning. Big Data are created or consumed by technical processes or business processes. Their formal description, e.g. for software verification or compliance checking, requires logics whose complexity far exceeds that of the data. Restricting LOD to the RDF logic does not allow for integrating rich process descriptions with the data that these processes create, and therefore does not enable knowledge management, information retrieval and reasoning to take full advantage of rich background knowledge. In this talk I demonstrate different frontiers at which I have worked towards achieving an integration of process descriptions and data.
Semantic Applications for Financial ServicesDavidSNewman
This presentation provides an overview of the business and technical drivers for building financial service applications using Semantic Technology. Multiple use cases are provided as examples.
Pragmatic Approaches to the Semantic WebMike Bergman
Mike Bergman offers his take on what approaches to the semantic Web are working, what are not, and what all of this might say about the semantic Web moving forward. Informed by Structured Dynamics' open source frameworks and client experiences, the main thesis is that the pragmatic contribution of semantic technologies resides more in mindsets, information models and architectures than in 'linked data' as currently practiced.
DCMI Keynote: Bridging the Semantic Gaps and InteroperabilityMike Bergman
M. Bergman's presentation, 'Bridging the Gaps: Adaptive Approaches to Data Interoperabiity,' was a keynote at the DCMI's DC 2010 International Conference in Pittsburgh, PA, on October 22, 2010.
In the presentation, Bergman points to the Dublin Core Metadata Initiative as a unique and key player in plugging the semantics "gap" within the semantic Web. Some specific activities and roles are suggested.
Intro to the Semantic Web Landscape - 2011LeeFeigenbaum
An introduction to the Semantic Web landscape as it stands near the end of 2011. Includes an introduction to the core technologies in the Semantic Web technology stack.
This material was presented at the November, 2011, Cambridge Semantic Web meetup.
Slides of my talk at OSLCfest in Stockholm Nov 6, 2019
Video recording of the talk is available here:
https://www.facebook.com/oslcfest/videos/2261640397437958/
Brief look at data segmenting decisions and use of Semantic Web technologies within Anzo. Presented at the 2011 W3C Linked Enterprise Data Patterns workshop.
Semantically Enhanced Interactions between Heterogeneous Data Life-Cycles - A...Basil Ell
This presentation was given at MTSR 2013 - 7th Metadata and Semantics Research Conference, Thessaloniki, and is related the publication of the same title.
Abstract of the publication: This paper highlights how Semantic Web technologies facilitate new socio-technical interactions between researchers and libraries focussing research data in a Virtual Research Environment. Concerning data practices in the fields of social sciences and humanities, the worlds of researchers and librarians have so far been separate. The increased digitization of research data and the ubiquitous use of Web technologies change this situation and offer new capacities for interaction. This is realized as a semantically enhanced Virtual Research Environment, which offers the possibility to align the previously disparate data life-cycles in research and in libraries covering a variety of inter-activities from importing research data via enriching research data and cleansing to exporting and sharing to allow for reuse.
Currently, collaborative qualitative and quantitative analyses of a large digital corpus of educational lexica are carried out using this semantic and wiki-based research environment.
The publication is available at http://www.aifb.kit.edu/images/a/ac/MTSR2013_publication_-_Basil_Ell%3B_Christoph_Schindler%3B_Marc_Rittberger.pdf
Seven Arguments for Semantic TechnologiesMike Bergman
This presentation lays out the seven main arguments for why it makes sense to be interested in semantic technologies for the enterprise. It is provided by Mike Bergman, noted observer of the semantic technology scene and CEO of Structured Dynamics LLC.
Content + Signals: The value of the entire data estate for machine learningPaul Groth
Content-centric organizations have increasingly recognized the value of their material for analytics and decision support systems based on machine learning. However, as anyone involved in machine learning projects will tell you the difficulty is not in the provision of the content itself but in the production of annotations necessary to make use of that content for ML. The transformation of content into training data often requires manual human annotation. This is expensive particularly when the nature of the content requires subject matter experts to be involved.
In this talk, I highlight emerging approaches to tackling this challenge using what's known as weak supervision - using other signals to help annotate data. I discuss how content companies often overlook resources that they have in-house to provide these signals. I aim to show how looking at a data estate in terms of signals can amplify its value for artificial intelligence.
These slides were originally a tutorial presented for the SIG preceding the May 2009 meeting of the PRISM Forum.
They attempt to give a survey of the technologies, tools, and state of the world with respect to the Semantic Web as of the first half of 2009.
PragmaticWeb 4.0 - Towards an active and interactive Semantic Media WebAdrian Paschke
Keynote at W3C Regional Event - Aspects of Semantic Technologies; Fachtagung Semantische Technologien26.-27. September 2013 | HU Berlin
http://semantic-media-web.de/referenten/?detail=33
Linked data for Enterprise Data IntegrationSören Auer
The Web evolves into a Web of Data. In parallel Intranets of large companies will evolve into Data Intranets based on the Linked Data principles. Linked Data has the potential to complement the SOA paradigm with a light-weight, adaptive data integration approach.
Linking Big Data to Rich Process DescriptionsChristoph Lange
Linked (Open) Data is one key to coping with Big Data: it enables decentralised, collaborative management of big datasets, low-overhead information retrieval, and scalable reasoning. Big Data are created or consumed by technical processes or business processes. Their formal description, e.g. for software verification or compliance checking, requires logics whose complexity far exceeds that of the data. Restricting LOD to the RDF logic does not allow for integrating rich process descriptions with the data that these processes create, and therefore does not enable knowledge management, information retrieval and reasoning to take full advantage of rich background knowledge. In this talk I demonstrate different frontiers at which I have worked towards achieving an integration of process descriptions and data.
Semantic Applications for Financial ServicesDavidSNewman
This presentation provides an overview of the business and technical drivers for building financial service applications using Semantic Technology. Multiple use cases are provided as examples.
Pragmatic Approaches to the Semantic WebMike Bergman
Mike Bergman offers his take on what approaches to the semantic Web are working, what are not, and what all of this might say about the semantic Web moving forward. Informed by Structured Dynamics' open source frameworks and client experiences, the main thesis is that the pragmatic contribution of semantic technologies resides more in mindsets, information models and architectures than in 'linked data' as currently practiced.
DCMI Keynote: Bridging the Semantic Gaps and InteroperabilityMike Bergman
M. Bergman's presentation, 'Bridging the Gaps: Adaptive Approaches to Data Interoperabiity,' was a keynote at the DCMI's DC 2010 International Conference in Pittsburgh, PA, on October 22, 2010.
In the presentation, Bergman points to the Dublin Core Metadata Initiative as a unique and key player in plugging the semantics "gap" within the semantic Web. Some specific activities and roles are suggested.
Intro to the Semantic Web Landscape - 2011LeeFeigenbaum
An introduction to the Semantic Web landscape as it stands near the end of 2011. Includes an introduction to the core technologies in the Semantic Web technology stack.
This material was presented at the November, 2011, Cambridge Semantic Web meetup.
Slides of my talk at OSLCfest in Stockholm Nov 6, 2019
Video recording of the talk is available here:
https://www.facebook.com/oslcfest/videos/2261640397437958/
Brief look at data segmenting decisions and use of Semantic Web technologies within Anzo. Presented at the 2011 W3C Linked Enterprise Data Patterns workshop.
Semantically Enhanced Interactions between Heterogeneous Data Life-Cycles - A...Basil Ell
This presentation was given at MTSR 2013 - 7th Metadata and Semantics Research Conference, Thessaloniki, and is related the publication of the same title.
Abstract of the publication: This paper highlights how Semantic Web technologies facilitate new socio-technical interactions between researchers and libraries focussing research data in a Virtual Research Environment. Concerning data practices in the fields of social sciences and humanities, the worlds of researchers and librarians have so far been separate. The increased digitization of research data and the ubiquitous use of Web technologies change this situation and offer new capacities for interaction. This is realized as a semantically enhanced Virtual Research Environment, which offers the possibility to align the previously disparate data life-cycles in research and in libraries covering a variety of inter-activities from importing research data via enriching research data and cleansing to exporting and sharing to allow for reuse.
Currently, collaborative qualitative and quantitative analyses of a large digital corpus of educational lexica are carried out using this semantic and wiki-based research environment.
The publication is available at http://www.aifb.kit.edu/images/a/ac/MTSR2013_publication_-_Basil_Ell%3B_Christoph_Schindler%3B_Marc_Rittberger.pdf
Seven Arguments for Semantic TechnologiesMike Bergman
This presentation lays out the seven main arguments for why it makes sense to be interested in semantic technologies for the enterprise. It is provided by Mike Bergman, noted observer of the semantic technology scene and CEO of Structured Dynamics LLC.
Content + Signals: The value of the entire data estate for machine learningPaul Groth
Content-centric organizations have increasingly recognized the value of their material for analytics and decision support systems based on machine learning. However, as anyone involved in machine learning projects will tell you the difficulty is not in the provision of the content itself but in the production of annotations necessary to make use of that content for ML. The transformation of content into training data often requires manual human annotation. This is expensive particularly when the nature of the content requires subject matter experts to be involved.
In this talk, I highlight emerging approaches to tackling this challenge using what's known as weak supervision - using other signals to help annotate data. I discuss how content companies often overlook resources that they have in-house to provide these signals. I aim to show how looking at a data estate in terms of signals can amplify its value for artificial intelligence.
These slides were originally a tutorial presented for the SIG preceding the May 2009 meeting of the PRISM Forum.
They attempt to give a survey of the technologies, tools, and state of the world with respect to the Semantic Web as of the first half of 2009.
IDCC Workshop: Analysing DMPs to inform research data services: lessons from ...Amanda Whitmire
A workshop as part of the International Digital Curation Conference 2016 on DMP development and support. This presentation demonstrates how we can use data management plans as a source of information to better understand researcher data stewardship practices and how to support them. Be sure to see the slide notes to better understand the presentation (most slides are just photos/icons).
Interoperability for Intelligence Applications using Data-Centric MiddlewareGerardo Pardo-Castellote
Presentation at the May 2012 Intelligence Workshop held in Rome Italy.
Interoperability is key to reducing cost in the development and maintenance of applications that span multiple providers or must be supported over long periods of time. This presentation describes the role of network middleware technologies in such systems and how the use of a data-centric middleware, such as OMG DDS, makes developing such systems easier and more cost-effective.
Towards Enterprise Interoperability Service UtilitiesBrian Elvesæter
B. Elvesæter, F. Taglino, E. D. Grosso, G. Benguria and A. Capellini, “Towards Enterprise Interoperability Service Utilities”, paper presentation at IWEI 2008, Munich Germany, 18 September 2008.
Web Services Presentation - Introduction, Vulnerabilities, & CountermeasuresPraetorian
The concept of web services has become ubiquitous over the last few years. Frameworks are now available across many platforms and languages to greatly ease and expedite the development of web services, often with a vast amount of existing code reuse. Software companies are taking advantage of this by integrating this technology into their products giving increased power and interoperability to their customers. However, the power web services enables also introduces new risks to an environment. As with web applications, development has outpaced the understanding and mitigation of vulnerabilities that arise from this emerging technology. This presentation will first aim to identify the risks associated with web services. We will describe the existing security standards and technologies which target web services (i.e., WS-Security) including its history, pros and cons, and current status. Finally we will attempt to extrapolate the future of this space to determine what changes must be made going forward.
Praetorian's goal is to help our clients understand minimize their overall security exposure and liability. Through our services, your organization can obtain an accurate, independent security assessment.
Bio2RDF : A biological knowledge base for the Semantic WebMichel Dumontier
A presentation given at the University of Toronto on June 18, 2009 describing the current state of Bio2RDF with respect to biological knowledge representation on the semantic web as linked data with services to describe and answer questions.
How To Implement Engineering Search Within Your Organization WebinarConcept Searching, Inc
What if you could not only search and discover, but also analyze, visualize and apply artificial intelligence to a normalized set of all structured and unstructured content within your organization, securely and in near real time?
Concept Searching, C/D/H, and Microsoft have partnered to bring you a global, cross-industry engineering search solution to deliver an unprecedented, unified view of all content, which your organization can rely on to grow and thrive.
Most organizations typically take twelve months or more to implement. We typically implement in two months – from scratch and hyper-agile.
This short How To webinar demonstrates our global cross-industry engineering search solution which delivers an unprecedented and unified view of all content within your organization.
• Fast – Find everything within your organization within three seconds
• Secure – Returns only results each person already has access to
• Normalized – based on a corporate governed nomenclature map
• Search – Concepts, compound terms, ranges, and normalized semantics
• Content – Both structured and unstructured
• Sources – From file shares, LOB systems, databases, websites
• Visualized – Full preview of all types of content for visual detection
• Organized – Refinement based on corporate taxonomy
• Analyzed – Applied artificial intelligence for predictive analytics
Exploration of large and complex data estates to gain an accurate understanding of the data structures and data quality.
Presentation given by Ontology Systems and BSkyB at SemTechBiz - The Semantic Technology & Business Conference on October 2nd 2013
Co-Creation methods for interactive computer systems design are now widely accepted as part of the methodological repertoire in any software devel-opment process. As the community is becoming more aware of the fact that soft-ware is driven by complex, artificially intelligent algorithms, the question arises what “Co-Creation of Algorithms” in the sense of end users explicitly shaping the parameters of algorithms could mean, and how it would work. Algorithms are not tangible like tool features and effects are harder to be explained or under-stood, especially in early design phases without a software prototype. Therefore, we propose a Simulation-based Co-Creation method that allows TEL researchers to collaboratively design algorithms with end users by creating user stories and personas, modelling assumptions and discussing simulated effects. The method extends the build & evaluate loop of co-design iterations, even when the learning technology for the algorithm is not ready. Our proposal is a methodological idea for discussion in the EC-TEL community, yet to be applied in a practice.
Large language models in higher educationPeter Trkman
Discussing the possibilities of large language models for the automatic generation of academic content by the students (e.g. master thesis), and the related need for changes in the way in which to educate and evaluate students.
Simplifying Building Automation: Leveraging Semantic Tagging with a New Breed...Memoori
Memoori's 10th Webinar in the 2019 Smart Buildings Series. We spoke with Chris Irwin, VP Sales EMEA & Asia at J2 Innovations about the FIN 5 software framework and “Simplifying Building Automation by Leveraging Semantic Tagging with a New Breed of Software”.
Join Concept Searching and partner C/D/H for this thought-provoking webinar on what intelligent enterprise search should be.
Our solution is unique in the marketplace, and overcomes the limitations of other enterprise search engines. It was originally deployed as an enterprise search solution for engineers and support staff.
This webinar will focus on how one unified view of all unstructured, semi-structured, and structured data assets, including 2D and 3D images, can be integrated into the search interface, with previewers and navigational aids.
Both business and technical professionals will benefit from this session:
• Understand how the technology works, and how it can be set up with a platform and search engine of choice
• See how search returns results, and provides visual and navigational aids for all information retrieved
• Watch how to select an image based on color, size, or shape
• Learn how any business or artificial intelligence applications can benefit from the multi-term metadata created
• Find out why the search framework provides a responsive user interface for any tablet, PC or mobile device
This presentation has been uploaded by Public Relations Cell, IIM Rohtak to help the B-school aspirants crack their interview by gaining basic knowledge on IT.
How to build your own Delve: combining machine learning, big data and SharePointJoris Poelmans
You are experiencing the benefits of machine learning everyday through product recommendations on Amazon & Bol.com, credit card fraud prevention, etc… So how can we leverage machine learning together with SharePoint and Yammer. We will first look into the fundamentals of machine learning and big data solutions and next we will explore how we can combine tools such as Windows Azure HDInsight, R, Azure Machine Learning to extend and support collaboration and content management scenarios within your organization.
This session will discuss building an effective search and information architecture strategy for SharePoint.
One of the reasons many SharePoint implementations fail to meet user expectations is the lack of investment in its underlying information architecture. Some organizations see SharePoint as an out-of-the-box solution that they can simply plug in and throw content into, but it requires as much thought and effort around data structure, organizational principles, and search configuration as any portal or intranet.
This call will discuss building an effective search and information architecture strategy for SharePoint, including such topics as:
• Building a search & IA vision
• Requirements gathering & use cases
• Implementation strategy & approaches
• The future of SharePoint search
Coexist or Integrate? Manage Unstructured Content from Diverse Repositories a...Concept Searching, Inc
Are you successfully managing your unstructured content? Have you quantified the risks and costs of not proactively managing your content? Did you know that you can dramatically improve search, eDiscovery, security, records management, migration, collaboration, text analytics, and business social applications, just by getting your unstructured content in order? Learn how to effectively clean up, optimize, and organize your file share content.
There are key solutions built on core technology platforms that will enable you to achieve these improvements. The conceptClassifier for SharePoint and conceptClassifier for Office 365 platforms automatically generate multi-term metadata that form concepts. Imagine it – eliminating end user tagging.
And the conceptClassifier for File Shares utility makes file shares discoverable, searchable, optimized, and organized. It automatically tags and classifies documents to a term set, for improving search and eDiscovery, and preparing content for migration.
Auto-classification and one natively integrated taxonomy/Term Store, available on-premises, in the cloud, or in a hybrid environment, provide the backdrop for a single enterprise search, regardless of where end users are located. Tackle information governance and standardize processes across the entire enterprise.The team from C/D/H provided the knowledge, planning, and optimization to intelligently migrate the manufacturer’s content from on-premises Search 2013 to the Office 365 Hybrid Search platform, using Concept Searching’s new utility, conceptClassifier for Hybrid Search.
The solution allows any of the 40,000 users to search 20 million documents from over 30 content sources, securely and within seconds. It leveraged the Microsoft Azure cloud platform, which reduced the required infrastructure tenfold, while improving performance and reducing complexity in the digital workplace.
Steve Mann will be joined by Steve Smith, Consultant from strategic partner C/D/H
Tutorial - Introduction to Rule Technologies and SystemsAdrian Paschke
Tutorial at Semantic Web Applications and Tools for the Life Sciences (SWAT4LS 2014), 9-11 Dec., Berlin, Germany
http://www.swat4ls.org/workshops/berlin2014/
Semantic CEP with Reaction RuleML, Keynote at 8th International Web Rule Symposium (RuleML 2014) @ ECAI 2014, Prague, Czech Republic, August 18-22, 2014
Loomp - Web 3.0 Collaborative Semantic Content AnnotatorAdrian Paschke
User study about semantic content annotation presented at Xinnovations 2012, September 2012 and at ISWC 2012 http://iswc2012.semanticweb.org/sites/default/files/76490161.pdf
The RuleML Perspective on Reaction Rule StandardsAdrian Paschke
Presentation about Reaction RuleML at the Ontology, Rules, and Logic Programming for Reasoning and Applications (RulesReasoningLP) Session at the Ontolog Forum, 9 January 2014
Semantic Complex Event Processing with Reaction RuleML 1.0 and Prova 3.0Adrian Paschke
Seminar presented by Visiting Professor Adrian Paschke from Freie Universitaet Berlin as part of the BPM EduNet (http://bpmedu.net) staff exchange at University of Toronto, McGill University, Ryerson University, University of Ontario Institute of Technology
Seminar about Semantic Complex Event Processing and Reaction RuleML presented at the School of Computer Science at McGill University on Sept. 9th, 2013 as part of the Transatlantic Business Process Management Education Network (http://bpmedu.net/) and presented at the DemAAL 2013 - Dem@Care Summer School on Ambient Assisted Living, 16-20 September 2013, Chania, Crete, Greece.
Tutorial: Deliberation RuleML, Reaction RuleML, and LegalRuleML: Specification and Application - Part 2: Adrian Paschke - Reaction RuleML; in Adrian Paschke, Harold Boley, Zhili Zhao, Kia Teymourian and Tara Athan. Reaction RuleML 1.0: Standardized Semantic Reaction Rules, 6th International Conference on Rules (RuleML 2012) ECAI 2012, Montpellier, France, August 27-31, 2012.
Semantic Complex Event Processing at Sem Tech 2010Adrian Paschke
Semantic Complex Event Processing - The Future of Dynamic IT
Presentation by Paul Vincent, Adrian Paschke, Harold Boley
at the RuleML Semantic Rules Track of the Semantic Technologies Conference 2010 (SemTech 2010), San Francisco, CA, USA
http://semtech2010.semanticuniverse.com/rules
The French Revolution, which began in 1789, was a period of radical social and political upheaval in France. It marked the decline of absolute monarchies, the rise of secular and democratic republics, and the eventual rise of Napoleon Bonaparte. This revolutionary period is crucial in understanding the transition from feudalism to modernity in Europe.
For more information, visit-www.vavaclasses.com
The Art Pastor's Guide to Sabbath | Steve ThomasonSteve Thomason
What is the purpose of the Sabbath Law in the Torah. It is interesting to compare how the context of the law shifts from Exodus to Deuteronomy. Who gets to rest, and why?
The Roman Empire A Historical Colossus.pdfkaushalkr1407
The Roman Empire, a vast and enduring power, stands as one of history's most remarkable civilizations, leaving an indelible imprint on the world. It emerged from the Roman Republic, transitioning into an imperial powerhouse under the leadership of Augustus Caesar in 27 BCE. This transformation marked the beginning of an era defined by unprecedented territorial expansion, architectural marvels, and profound cultural influence.
The empire's roots lie in the city of Rome, founded, according to legend, by Romulus in 753 BCE. Over centuries, Rome evolved from a small settlement to a formidable republic, characterized by a complex political system with elected officials and checks on power. However, internal strife, class conflicts, and military ambitions paved the way for the end of the Republic. Julius Caesar’s dictatorship and subsequent assassination in 44 BCE created a power vacuum, leading to a civil war. Octavian, later Augustus, emerged victorious, heralding the Roman Empire’s birth.
Under Augustus, the empire experienced the Pax Romana, a 200-year period of relative peace and stability. Augustus reformed the military, established efficient administrative systems, and initiated grand construction projects. The empire's borders expanded, encompassing territories from Britain to Egypt and from Spain to the Euphrates. Roman legions, renowned for their discipline and engineering prowess, secured and maintained these vast territories, building roads, fortifications, and cities that facilitated control and integration.
The Roman Empire’s society was hierarchical, with a rigid class system. At the top were the patricians, wealthy elites who held significant political power. Below them were the plebeians, free citizens with limited political influence, and the vast numbers of slaves who formed the backbone of the economy. The family unit was central, governed by the paterfamilias, the male head who held absolute authority.
Culturally, the Romans were eclectic, absorbing and adapting elements from the civilizations they encountered, particularly the Greeks. Roman art, literature, and philosophy reflected this synthesis, creating a rich cultural tapestry. Latin, the Roman language, became the lingua franca of the Western world, influencing numerous modern languages.
Roman architecture and engineering achievements were monumental. They perfected the arch, vault, and dome, constructing enduring structures like the Colosseum, Pantheon, and aqueducts. These engineering marvels not only showcased Roman ingenuity but also served practical purposes, from public entertainment to water supply.
Instructions for Submissions thorugh G- Classroom.pptxJheel Barad
This presentation provides a briefing on how to upload submissions and documents in Google Classroom. It was prepared as part of an orientation for new Sainik School in-service teacher trainees. As a training officer, my goal is to ensure that you are comfortable and proficient with this essential tool for managing assignments and fostering student engagement.
1. AG Corporate Semantic Web
Freie Universität Berlin
http://www.corporate-semantic-web.de
Corporate Semantic Web
Prof. Dr. rer. nat. Adrian Paschke,
Freie Universität Berlin, Corporate Semantic Web
SemTech Conference, 6-7. February 2012, Berlin, Germany
2. 2
Agenda
• About Corporate Semantic Web
• Corporate Semantic Engineer
• Corporate Semantic Search
• Corporate Semantic Collaboration
• Summary and Future
3. 3
Semantic Web – An Introduction
• "The Semantic Web is an
extension of the current
web in which information
is given well-defined
meaning, better enabling
computers and people
to work in cooperation."
• Tim Berners-Lee, James
Hendler, Ora Lassila, The
Semantic Web
• „Make the Web
understandable for
machines“
4. 4
Semantic Technologies
1. Rules
• Describe conclusions and reactions from given information
(inference)
• Declarative knowledge representation:
“express what is valid, the responsibility to interpret this and to
decide on how to do it is delegated to an interpreter / reasoner”
2. Ontologies
• Ontologies described the common knowledge of a domain
(semantics):
• “An ontology is an explicit specification of a
conceptualization “ T. Gruber
Semantics interoperability between (connected) vocabularies
5. 5
About Corporate Semantic Web
1. Application of Semantic Web technologies in
enterprise information systems (Semantic
Enterprise)
• Collaborative workflows and (business) process
management
(e.g. e-Science workflows, Semantic Business Process
Management)
• Knowledge Management
(e.g. Semantic Knowledge Management, Semantic
Corporate Memory)
2. Corporate = Business Context
• Application of Semantic Web technologies under
economical considerations and business conditions (e.g.
cost models, return on investment)
6. 6
Corporate Semantic Web for
Semantic Enterprises
Corporate
Semantic Web
•Semantic Applications
•Semantic Knowledge
•Semantic Content
Front Office
Back Office
Customer
Portals
Call Center E-Commerce
CRM
SCM
CSCWDBMSBPM
ITSM
ERP
SRM
7. 7
Challenges for the Corporate Semantic Web
Syntax
Sematics
Pragmatics
Data Understanding
Connectedness
Information / Content
Knowledge
Intelligence / Wisdom
Understanding relations
Understanding
patterns
understanding
principles
8. 8
Semantic Content (Semantic Data)
1. Automatic extraction of semantic from
non-semantic data
• Linked Data Extraction
• Ontology Learning
2. (New) Semantic Data and Knowledge
Engineering and Development
• Manual (e.g. semantic text editor, semantic Wiki,
semantic CMS, ontology-/rule-engineering)
• Automated (e.g., user activity mining, text
analysis)
9. 9
Semantic Knowledge
Semantic Knowledge Management and
“Semantic Organizational Memory"
• Relevant knowledge
• e.g. reuse of knowledge, faster search, faster knowledge
transfer, efficient processes, etc.
• Semantic archives and knowledge repositories
• e.g. Linked Data, knowledge clouds, semantic Wikis,
semantic knowledge bases such as triplestores, semantic
personal CMS, etc.
• Semantic integration of data from different
heterogeneous sources of corporate knowledge
• Analysis of the semantic data, in order to detect
implicit knowledge and semantically represent it
10. 10
Semantic Applications (Semantic Intelligence)
Semantic applications for
• Corporate Semantic Engineering
• Methods and tools for the management of
corporate information and processes
• Support for the development of semantic
enterprise solutions and products/services
• Semantic Corporate Search
• Solutions for semantic search in information
repositories
• Semantic Corporate Collaboration
• New semantic collaboration platforms with which
information, processes and knowledge can be
collaboratively share, used and managed
11. 11
• Learning and Training
• Decision makers and employees
• Economic considerations,
• i.e. business context
• Estimation of costs and benefits
• Development and usage of new Corporate
Semantic Web technologies
• Incentives for adoption and use of
semantic technologies
Pragmatics
12. 12
Corporate Semantic Web
Corporate Semantic Web
Corporate
Semantic
Engineering
Corporate
Semantic
Search
Corporate
Semantic
Collaboration
Public Semantic Web
Corporate Business Information Systems
Business Context
www.corporate-
semantic-web.de
13. 13
Domains of the
Corporate Semantic Web
• Corporate Semantic Engineering
• Methods and tools for the precise, high-quality and
economical development and management of ontologies
and rule bases for business information and processes
• Semantic support for the software and process engineering
• Semantic Corporate Search
• Solutions for the semantic search in controlled information
resources with defined quality of service improvements
• Semantic Corporate Collaboration
• New semantic collaboration and support platforms with
which different enterprise domains or parts of virtual
organizations can collaboratively collect, use and manage
information, processes / services and knowledge
17. 17
Example: Modularization and Integration
Integrated View
Modul 1 …
… Modul n
Modul 2
Modul n-1
Core Ontology
Domain Ontology
Application Ontology
Domain 1 Domain 2
19. 19
Example Personalized Search
Skill Ontology
Example:
Query „Java“ (+ Personal Skill Profile (Java + C++ Knowledge) )
d (Java, C++) = d (Java, Object Oriented) + d (C++, Object Oriented)
= (0.25-0.0.0625) + (0.25-0.0625)
= 0.375
sim(Java, C++) = 1 – 0.375 = 0.625 (Semantic Similarity)
=> also propose job offers for C++ programmer
20. 20
Semantic Search
Iterative search by the
user.
Advantage: low entry costs
Challenege: query strategy
Text corpus is fact base.
Advantage: unstructured
content accessible
Challenge: ask a valid
question
Background-knowledge
used during search.
Advantage: captures all
latent answers
Challenge: Ontology design
21. 21
Semantic Corporate Collaboration
• Knowledge extraction by mining user activities
• Collaborative tools for modeling ontologies and
knowledge
• Dynamic access to distributed knowledge
• Evolution of ontologies and knowledge by
collaborative work
Corporate
Semantic
Collaboration
24. 24
Example: Semantic Business Process Management
% receive query and delegate it to another party
rcvMsg(CID,esb, Requester, acl_query-ref, Query) :-
responsibleRole(Agent, Query),
sendMsg(Sub-CID,esb,Agent,acl_query-ref, Query),
rcvMsg(Sub-CID,esb,Agent,acl_inform-ref, Answer),
... (other goals)...
sendMsg(CID,esb,Requester,acl_inform-ref,Answer).
•Paschke, Rule Responder BPM / ITSM Project
•Barnickel, Böttcher, Paschke, Semantic Mediation of Information Flow in
Cross-Organizational Business Process Modeling, 5th Int. Workshop on
Semantic Business Process Management at ESWC 2010
•Adrian Paschke and Kia Teymourian, Rule Based Business Process
Execution with BPEL+ , i-Semantics 2009, Graz
• Paschke, A., Kozlenkov, A.: A Rule-based Middleware for Business
Process Execution, at MKWI'08, München, Germany, 2008.
Rules-enabled BPEL+
Application
BPEL run-
time
BRMS
(Business Rules
Management
System)
events
, facts
results
CEP Logic
Reaction
Logic
Decision
Logic
Constraints
Rule Inference
Service
SBPMN -> BPEL+
Prova Rule Engine
Oryx
SBPM
26. 26
Corporate Semantic Web
Corporate Semantic Web (CSW)
focuses on the application of
Semantic Web technologies and
semantic Knowledge Management
methodologies in corporate
environments.
27. 27
Corporate vs. Public Semantic Web
• Closed information systems / Intranet solutions with
often known interfaces between systems, services and
domains
• Known user groups within enterprise network(s)
• Usage of the existing enterprise IT infrastructure,
information, and knowledge is constrained by the
existing business rules, policies and
workflows/processes
• Data view: closed, often structured data with known
data models (e.g., relational, object-oriented, XML, …)
• Logic view: partial closed world assumption, partial
unique name assumption, scoped constructive views
28. 28
Social Semantic Web vs. Corporate
Semantic Web
• Social Semantic Web = Web of collective
knowledge systems
• Focus: Tools in which the central social
interactions on the Web plays a role. These
tools lead to the development of explicit
semantic representations
• Combines technologies, strategies and methods
of the Semantic Web, Social Software and Web
2.0
• Finds applications in Corporate Semantic Web
as well as Public Semantic Web
29. 29
Pragmatic Web
The Pragmatic Web consists of the tools,
practices and theories describing why and
how people use information. In contrast to
the Syntactic Web and Semantic Web the
Pragmatic Web is not only about form or
meaning of information, but about
interaction which brings about e.g.
understanding or commitments.
www.pragmaticweb.info
30. 30
Pragmatic Web
Vision: Ubiquitous Pragmatic Web 4.0
Monolithic
Systems Era
Desktop Computing
Desktop
World Wide Web 1.0
Connects Information
Syntactic Web
Semantic Web 2.0
Connects Knowledge
Social Semantic Web 3.0,
Web of Services & Things,
Corporate Semantic Web
Connects People, Services and Things
Ubiquitous Pragmatic Web 4.0
Connects Intelligent Agents and Smart
Things
Semantic Web
Ubiquitous autonomic
Smart Services and
Things
Pragmatic Agent
Ecosystems
Machine
Understanding
Ubiquitous Next Generation Agents and Smartl Connections
Syntactic
Web
Semantic
Web
Pragamtic
Web
HTML
XML
RDF
Smart
Agents
Content
Producer
Passive Active
Consumer
31. AG Corporate Semantic Web
Freie Universität Berlin
http://www.inf.fu-berlin.de/groups/ag-csw/
http://www.corporate-semantic-web.de