20111022 ontologiescomeofageocas germanymcguinnessfinal

Inspires Project Immersive Visualisation Event

Jim Hensman

Kno.e.sis Review: late 2012 to mid 2013

The Ohio Center of Excellence in Knowledge-enabled Computing at Wright State University: 1) Shares the second position globally in impact on the World Wide Web and has the largest academic research group in the US working on semantic web, social media, big data, and health applications. 2) Has exceptional student success with internships and jobs at top companies and a total of 100 researchers including 15 highly cited faculty and 45 PhD students, largely funded through $2M+ annually in research funding. 3) Provides world-class resources for multidisciplinary projects across information technology and domains like biomedicine, with collaboration from industry partners like Google and IBM.

Alumni Network Analysis

Neil Rubens

This document discusses analyzing alumni networks through network analysis techniques. It notes that alumni outcomes will likely factor into future university rankings. Traditional rankings do not capture the network properties of alumni connections. The document then examines characteristics of intra-university, inter-university, and university-company networks. Comparing networks with and without including the university node shows the university can impact alumni connectivity. Developing strong alumni networks can significantly benefit both alumni and their universities.

Brochure, enhancing scholarship, revised, 25 may2011

Slides e humanities presentation, 27jan2011

The document discusses plans for a project to create enhanced publications from four academic books. It defines enhanced publications as those supplemented with additional materials like data, images, and links. The project aims to develop web platforms bringing together content from the books, make relationships between concepts explicit, and create instructional materials about enhanced publications. Challenges include preserving dynamic digital objects and convincing publishers of the value of enhanced formats.

The document is an email from Nick Jankowski informing participants about an upcoming workshop on scientific publishing. It provides details about the workshop, including its date, time, and location. It requests that participants review sample materials on publishing procedures and policies of various academic journals, including New Media & Society, and submit an example of a published or presented paper. The email aims to prepare participants for discussion on scholarly publishing practices at the upcoming workshop.

Laura Scholarly Communication Dfid 10 September Final2

CRUOnline

The document discusses opportunities for scholarly communication through information and communication technologies (ICT). It notes that academics want their work to be read, visible, cited, and to make an impact. However, dissemination of knowledge has traditionally been out of academics' control. New trends include electronic dissemination through various models like repositories and journals. Content is increasingly multimedia. Scholars will rely on integrated electronic environments containing a variety of scholarly works. Universities are taking more control over dissemination. Academics are encouraged to develop online presences and exploit opportunities to share knowledge.

Rethinking concepts in virtual worlds and education research

Eduserv

2015 Kno.e.sis Center Annual Review

The document provides an overview of funding and active projects at Kno.e.sis as of December 2015. Key details include total extramural funds exceeding $8.3 million with the majority obtained that year from competitive NSF and NIH sources. Active projects focus on areas such as context-aware harassment detection on social media, monitoring drug trends on social media, disaster management using social and physical sensing, and modeling social behavior for healthcare utilization in depression. The summary highlights student and faculty involvement and accomplishments across multiple funded projects.

Representation Patterns for Cultural Heritage Resources

Richard Urban

Full-sized available via http://diginole.lib.fsu.edu/cgi/preview.cgi?article=1015&context=slis_faculty_publications The universe of available cultural heritage metadata schemas grows more complex every day. Existing schemas are optimized for use in the library, archive, or museum domains and to fit the needs of shared services and applications. Emerging Linked Data approaches introduce additional challenges for metadata designers and creators responsible for implementing these standards. In other domains, design patterns are used to clearly articulate problems, their contexts, and available solutions. This poster introduces preliminary research to identify such patterns in cultural heritage metadata standards using content analysis and a participatory design methodology.

KCL CeRch presentation, enhanced scholarly publications, 27march2012

Slides, ljubljana presentation, enhanced publications, jankowski, 10 june2011

The document discusses a project to enhance scholarly publications in the humanities and social sciences through hybrid forms of publication. The project aims to 1) enhance four published books with supplementary online materials like links, blogs, and visualizations, and 2) develop a database and series of topic-related enhanced publications. Key challenges addressed are preserving dynamic online content, interrelating publication components, and gaining acceptance from publishers and authors.

Jankowski, introduction slides, i cs oii panel scholarly communication, 22sep...

Scits 2014

Kevin Lanning

This document summarizes a presentation on using bibliographic couplings to analyze the structure of a large public university. The presentation analyzed co-citation networks between university scholars and the papers they cited to identify overlapping intellectual communities across disciplines. It identified key individuals who bridge communities and act as knowledge conduits. The analysis found that the network of engaged scholars bears little resemblance to the existing academic units, suggesting opportunities to restructure the university to better support interdisciplinary work.

2017 sa tc_pi_meeting_-_poster final 2

Monireh Ebrahimi

Context-Aware Harassment Detection on Social Media is an inter-disciplinary project among the Ohio Center of Excellence in Knowledge-enabled Computing (Kno.e.sis), the Department of Psychology, and Center for Urban and Public Affairs (CUPA) at Wright State University. The aim of this project is to develop comprehensive and reliable context-aware techniques (using machine learning, text mining, natural language processing, and social network analysis) to glean information about the people involved and their interconnected network of relationships, and to determine and evaluate potential harassment and harassers. An interdisciplinary team of computer scientists, social scientists, urban and public affairs professionals, educators, and the participation of college and high schools students in the research will ensure wide impact of scientific research on the support for safe social interactions.

ISWC2023-McGuinnessTWC16x9FinalShort.pdf

Networked Research Lab, UK

Keynote presentation for the International Semantic Web Conference in Athens Greece, on November 9, 2023. The talk addresses the generative AI explosion and its potential impacts on the Semantic Web and Knowledge Graph communities and, in fact, may spark a research Renaissance. Abstract: We are living in an age of rapidly advancing technology. History may view this period as one in which generative artificial intelligence is seen as reshaping the landscape and narrative of many technology-based fields of research and application. Times of disruptions often present both opportunities and challenges. We will discuss some areas that may be ripe for consideration in the field of Semantic Web research and semantically-enabled applications. Semantic Web research has historically focused on representation and reasoning and enabling interoperability of data and vocabularies. At the core are ontologies along with ontology-enabled (or ontology-compatible) knowledge stores such as knowledge graphs. Ontologies are often manually constructed using a process that (1) identifies existing best practice ontologies (and vocabularies) and (2) generates a plan for how to leverage these ontologies by aligning and augmenting them as needed to address requirements. While semi-automated techniques may help, there is typically a significant portion of the work that is often best done by humans with domain and ontology expertise. This is an opportune time to rethink how the field generates, evolves, maintains, and evaluates ontologies. We consider how hybrid approaches, i.e., those that leverage generative AI components along with more traditional knowledge representation and reasoning approaches to create improved processes. The effort to build a robust ontology that meets a use case can be large. Ontologies are not static however and they need to evolve along with knowledge evolution and expanded usage. There is potential for hybrid approaches to help identify gaps in ontologies and/or refine content. Further, ontologies need to be documented with term definitions and their provenance. Opportunities exist to consider semi-automated techniques for some types of documentation, provenance, and decision rationale capture for annotating ontologies. The area of human-AI collaboration for population and verification presents a wide range of areas of research collaboration and impact. Ontologies need to be populated with class and relationship content. Knowledge graphs and other knowledge stores need to be populated with instance data in order to be used for question answering and reasoning. Population of large knowledge graphs can be time consuming. Generative AI holds the promise to create candidate knowledge graphs that are compatible with the ontology schema. The knowledge graph should contain provenance information identifying how the content was populated and its source and correctness and currency should be checked. A human-AI assistant approach is presented.

Linked Data Workshop Stanford University

Talis Consulting

The Stanford Workshop focused on creating plans to expedite a shift in how knowledge and information resources are managed and discovered through linked data. The goal was to identify capabilities and design new tools, processes, and systems that move beyond current metadata practices to link related resources and provide improved navigation and discovery through open feedback. A number of organizations from around the world participated in the workshop to discuss these issues.

The Revolution Of Cloud Computing

Carmen Sanborn

Here are the key points about using content-based filtering techniques: - Content-based filtering relies on analyzing the content or description of items to recommend items similar to what the user has liked in the past. It looks for patterns and regularities in item attributes/descriptions to distinguish highly rated items. - The item content/descriptions are analyzed automatically by extracting information from sources like web pages, or entered manually from product databases. - It focuses on objective attributes about items that can be extracted algorithmically, like text analysis of documents. - However, personal preferences and what makes an item appealing are often subjective qualities not easily extracted algorithmically, like writing style or taste. - So while content-based filtering can

Missing pieces in_the_global_metadata_landscap

Stuart Weibel

Stuart Weibel discusses missing pieces in establishing globally interoperable metadata systems. Experts identify the most important missing pieces as tools to support metadata reuse across domains and widespread adoption of common metadata approaches. Conceptual issues include a lack of research on decentralized data management and choosing vocabularies. Organizational impediments include economic models that inhibit data sharing and the difficulty of getting organizations to adopt common standards due to inertia and lack of clear paths forward. Addressing these issues would improve prospects for interoperable metadata systems.

SEABIS/SICS

The document provides an overview of the speaker's background and research interests in digital ecosystems modelling. It discusses how socio-technical systems can be modeled using a systems approach rather than just mathematics. It also touches on ideas like knowledge ecosystems, complex systems emergence, and the importance of shared vocabularies. The goal is to engage the audience and potentially find opportunities for collaboration.

ICDMWorkshopProposal.doc

butest

This document provides information about a proposed workshop on knowledge acquisition from distributed, autonomous, and semantically heterogeneous data sources to be held at the 2005 IEEE International Conference on Data Mining. The workshop aims to bring together researchers from areas like machine learning, data mining, knowledge representation, databases, and selected application domains to address challenges in performing knowledge discovery from multiple distributed data sources that may have semantic differences. Topics of interest include learning from distributed data, making data sources self-describing through ontologies, learning ontologies and mappings between schemas, and handling semantic heterogeneity. The workshop will include invited talks and presentations of contributed papers, and targets researchers, students, and practitioners interested in knowledge acquisition from distributed data.

20100427 Earthster Core Ontology

brianatepimorphicsdotcom

The document describes Earthster Core Ontology (ECO), a domain ontology for Life Cycle Assessment (LCA). ECO aims to provide a vocabulary for core LCA concepts to publish LCA data on the web in a semantically interoperable way. It defines concepts like Process, Quantified Effect, and Elementary Flow. ECO is still under development with feedback from the LCA community. Its goals are to extend existing LCA data structures, link data sources, and allow for flexible extension over time as the field evolves.

Software Ecosystem Evolution. It's complex!

Tom Mens

This document discusses software ecosystems and their complex evolution. It defines a software ecosystem as interdependent software projects that evolve together. Research analyzes ecosystems using ideas from biology and complex systems across disciplines. Ecosystems are huge networks of thousands of interdependent parts and contributors that are difficult to manage and grow superlinearly over time. They exhibit properties of complex networks like following power laws and being small worlds. Simple models can explain ecosystem growth patterns.

Investing in a time of desruptive change

Jisc

This document discusses disruptive changes in libraries due to new technologies and user behaviors. It notes the shift to electronic resources like e-journals, e-books, and born-digital content, which require new library processes. Open science and open educational resources are also discussed. Surveys found that younger users value quick search results over assistance from librarians. The future of libraries is uncertain as their roles evolve in research and learning. Options for shared library services are presented to help libraries adapt to these changes in a sustainable way.

Trust and Accountability: experiences from the FAIRDOM Commons Initiative.

Carole Goble

Presented at Digital Life 2018, Bergen, March 2018. In the Trust and Accountability session. In recent years we have seen a change in expectations for the management and availability of all the outcomes of research (models, data, SOPs, software etc) and for greater transparency and reproduciblity in the method of research. The “FAIR” (Findable, Accessible, Interoperable, Reusable) Guiding Principles for stewardship [1] have proved to be an effective rallying-cry for community groups and for policy makers. The FAIRDOM Initiative (FAIR Data Models Operations, http://www.fair-dom.org) supports Systems Biology research projects with their research data, methods and model management, with an emphasis on standards and sensitivity to asset sharing and credit anxiety. Our aim is a FAIR Research Commons that blends together the doing of research with the communication of research. The Platform has been installed by over 30 labs/projects and our public, centrally hosted FAIRDOMHub [2] supports the outcomes of 90+ projects. We are proud to support projects in Norway’s Digital Life programme. 2018 is our 10th anniversary. Over the past decade we learned a lot about trust between researchers, between researchers and platform developers and curators and between both these groups and funders. We have experienced the Tragedy of the Commons but also seen shifts in attitudes. In this talk we will use our experiences in FAIRDOM to explore the political, economic, social and technical, social practicalities of Trust. [1] Wilkinson et al (2016) The FAIR Guiding Principles for scientific data management and stewardship Scientific Data 3, doi:10.1038/sdata.2016.18 [2] Wolstencroft, et al (2016) FAIRDOMHub: a repository and collaboration environment for sharing systems biology research Nucleic Acids Research, 45(D1): D404-D407. DOI: 10.1093/nar/gkw1032

Virtual Research Networks : Towards Research 2.0

Guus van den Brekel

Presentation at EMTACL10, http://www.ntnu.no/ub/emtacl/ Guus van den Brekel Central medical library, UMCG Virtual Research Networks: towards Research 2.0 In the next few years, the further development of social, educational and research networks – with its extensive collaborative possibilities – will be dictating how users will search for, manage and exchange information. The network – evolved by technology – is changing the user's behaviour and that will affect the future of information services. Many envision a possible leading role for libraries in collaboration and community building services. Users are not only heavily using new tools, but are also creating and shaping their own preferred tools. Today's students are incorporating Web 2.0 skills in daily life, in their social and learning environments. Tomorrow's research staff will expect to be able to use their preferred tools and resources within their work environment. Today's ánd tomorrow's libraries should support students and staff in the learning and research process by integrating library services and resources into their environments.

What's hot

Context Aware Harassment Detection in Social Media [Overview]

Letter to CORE workshop participants, jankowski, 11sept2010

Laura Scholarly Communication Dfid 10 September Final2

CRUOnline

Rethinking concepts in virtual worlds and education research

Eduserv

2015 Kno.e.sis Center Annual Review

Representation Patterns for Cultural Heritage Resources

Richard Urban

KCL CeRch presentation, enhanced scholarly publications, 27march2012

Slides, ljubljana presentation, enhanced publications, jankowski, 10 june2011

Jankowski, introduction slides, i cs oii panel scholarly communication, 22sep...

Scits 2014

Kevin Lanning

2017 sa tc_pi_meeting_-_poster final 2

Monireh Ebrahimi

What's hot (11)

Context Aware Harassment Detection in Social Media [Overview]

Letter to CORE workshop participants, jankowski, 11sept2010

Laura Scholarly Communication Dfid 10 September Final2

Rethinking concepts in virtual worlds and education research

2015 Kno.e.sis Center Annual Review

Representation Patterns for Cultural Heritage Resources

KCL CeRch presentation, enhanced scholarly publications, 27march2012

Slides, ljubljana presentation, enhanced publications, jankowski, 10 june2011

Jankowski, introduction slides, i cs oii panel scholarly communication, 22sep...

Scits 2014

2017 sa tc_pi_meeting_-_poster final 2

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Software Ecosystem Evolution. It's complex!

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Investing in a time of desruptive change

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Context culture metadata_openscout20120301

Jan Pawlowski

The Personalization Challenge: Context and Culture Metadata for Mobile Learning In this keynote, we addressed m-learning adaptation based on a standardized context description. The context description contains cultural, organization and individual factors as a base for adaptable and adaptive systems. This is used on the openscout project which is about adaptation of learning resources also in the international context.

Semantic Web Nature

Constantin Stan

The Semantic Web is a vision of information that is understandable by computers. Although there is great exploitable potential, we are still in "Generation Zero'' of the Semantic Web, since there are few real-world compelling applications. The heterogeneity, the volume of data and the lack of standards are problems that could be addressed through some nature inspired methods. The paper presents the most important aspects of the Semantic Web, as well as its biggest issues; it then describes some methods inspired from nature - genetic algorithms, artificial neural networks, swarm intelligence, and the way these techniques can be used to deal with Semantic Web problems.

SPARC Repositories conference in Baltimore - Nov 2010

Jisc

1. The document discusses the reasons for and vision of creating a global network of repositories to openly share knowledge and data. 2. Key reasons for a global network include enabling open access to information, supporting science through linked data, and aligning with universities' responsibilities to the public. 3. The ideal vision is to build socio-technical infrastructure similar to what was created in the 1880s to support electricity, in order to manage and share linked, open, and trusted data globally through repository networks.

Pratt Sils LIS653 4 Fall 2007

PrattSILS

The document discusses personal information management (PIM) tools and strategies. It describes how PIM has been an issue since information became available and outlines some common PIM tools like email, calendars, computer desktop organization, and websites. It also discusses the implications of increased digital information storage, such as challenges around saving, organizing, and retrieving personal information across multiple tools and locations.

Corneli

anesah

Joe Corneli is a PhD student at the Knowledge Media Institute studying semantic adaptivity and social networking in personal learning environments. His research focuses on developing a unified methodology to map activity patterns in social contexts to better support the learning process. He plans to implement his ideas using tools like Etherpad for analyzing live social interactions, RDF for managing relationship data, and WordNet for clustering and annotating content to help simplify information and connect resources for learners. By the end of his PhD, he hopes to build a "PLE IDE" tool to offer personalized support for learners and developers.

Semantic Web: Technolgies and Applications for Real-World

Amit Sheth

M1. sem web & ontology introd

Michele Missikoff

This document provides an overview of ontologies and the semantic web. It defines ontologies as formal specifications of conceptualizations that are shared between people and computers. Ontologies provide a common vocabulary and conceptual structure to facilitate understanding between humans and machines. They allow different systems and communities to work together by providing shared definitions of concepts and relationships. The development of ontologies and the semantic web aims to make web resources more computer-readable and enable machines to better understand and process online information.

A Review on Evolution and Versioning of Ontology Based Information Systems

iosrjce

IOSR Journal of Computer Engineering (IOSR-JCE) is a double blind peer reviewed International Journal that provides rapid publication (within a month) of articles in all areas of computer engineering and its applications. The journal welcomes publications of high quality papers on theoretical developments and practical applications in computer technology. Original research papers, state-of-the-art reviews, and high quality technical notes are invited for publications.

F017233543

IOSR Journals

This document provides a review of existing approaches to ontology evolution and versioning. It begins by defining ontologies and discussing why evolution and versioning are needed as ontologies are used in information systems. It then outlines some existing solutions for ontology evolution and version management, noting different languages used to conceptualize ontologies. Challenges of ontology versioning and evolution are discussed. Increased usage of ontologies in different domains is reviewed. Finally, some available tools for ontology change management are mentioned.

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More from Deborah McGuinness

Towards More Computable Knowledge

Keynote presentation for Mobilizing Computable Biomedical Knowledge Conference 2021. Looking in particular at emerging trends of cognitive assistants, personal health knowledge graphs, and meta descriptions for knowledge resources. Examples taken from RPI-IBM project on Health Empowerment by Analysis, Learning, and Semantics and NIEHS project with RPI-MSSM-Columbia on Human Health Exposure Analysis Repository Data Center.

Towards an Environmental Health Sciences Ontology:CHEAR to HHEAR and Beyond

The National Institute of Environmental Health Sciences (NIEHS) supported a Children's Health Exposure Analysis Repository(CHEAR) program that needed to integrate data across exposure science and health. We led the data science effort of this program and design the CHEAR ontology to support data integration and to leverage a wide range of existing ontologies and vocabularies. We are refactoring the ontology to support human health (instead of just aiming to support child health, and broadening support a broad range of environmental health sciences applications.

‘Smart’ Taxonomy- & Ontology- Enabled Resourcesfor Taxonomy Bootcamp

The document discusses the use of ontologies and taxonomies to enhance findability, accessibility, interoperability, and reuse of data and resources. It provides definitions for taxonomy, ontology, knowledge engineering, and artificial intelligence. It describes how ontologies can specify terminology, concepts, and relationships in a domain to provide a rich description. The document also discusses ontology development processes and gives examples of how ontologies can enable semantic search, data integration, and interpretation across different studies and data sources.

Ontologies For the Modern Age - McGuinness' Keynote at ISWC 2017

Ontologies are seeing a resurgence of interest and usage as big data proliferates, machine learning advances, and integration of data becomes more paramount. The previous models of sometimes labor-intensive, centralized ontology construction and maintenance do not mesh well in today’s interdisciplinary world that is in the midst of a big data, information extraction, and machine learning explosion. In this talk, we will provide some historical perspective on ontologies and their usage, and discuss a model of building and maintaining large collaborative, interdisciplinary ontologies along with the data repositories and data services that they empower. We will give a few examples of heterogeneous semantic data resources made more interconnected and more powerful by ontology-supported infrastructures, discuss a vision for ontology-enabled future research and provide some examples in a large health empowerment joint effort between RPI and IBM Watson Health.

Automating Semantic Metadata Collection in the Field with Mobile Application

Presentation at Mobile Deployment of Semantic Technologies Workshop at the International Semantic Web Conference. Abstract: In the past few decades, the field of ecology has grown from a collection of disparate researchers who collected data on their local phenomenon by hand, to large ecosystems-oriented projects partially fueled by automated sensor networks and a diversity of models and experiments. These modern projects rely on sharing and integrating data to answer questions of increasing scale and complexity. Interpreting and sharing the big data sets generated by these projects relies on information about how the data was collected and what the data is about, typically stored as metadata. Metadata ensures that the data can be interpreted and shared accurately and efficiently. Traditional paper-based metadata collection methods are slow, error-prone, and non-standardized, making data sharing difficult and inefficient. Semantic technologies offer opportunities for better data management in ecology, but also may pose a challenging learning curve to already busy researchers. This paper presents a mobile application for recording semantic metadata about sensor network deployments and experimental settings in real time, in the field, and without expecting prior knowledge of semantics from the users. This application enables more efficient and less error-prone in-situ metadata collection, and generates structured and shareable metadata.

20120718 linkedopendataandnextgenerationsciencemcguinnessesip final

This document discusses using linked open data and semantic technologies to support next generation science. It provides background on the increasing availability of open data and opportunities for citizen science contributions. Semantic technologies can help integrate and link diverse scientific data sources. Linked data principles allow disparate datasets to be connected through shared identifiers and relationships. Examples are provided of existing projects that use semantic approaches to enable scientific data discovery, analysis and collaboration across domains like population health, water quality monitoring and climate change. Overall, the document argues that semantic technologies are mature and can help scientists address large, distributed problems by facilitating data integration and knowledge sharing.

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2011linked science4mccuskermcguinnessfinal

201109021 mcguinness ska_meeting

The document discusses the evolving landscape of semantic technologies and their applications to scientific domains like eScience. It introduces the Tetherless World Constellation, a research group applying semantic web techniques. Examples are given of projects applying semantics to areas like virtual observatories and provenance capture. The value of semantic technologies is discussed for integration, discovery, and validation of scientific data and models. Modular ontologies and semantically-enabled frameworks are presented as important directions for reuse and collaboration.

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