When developing user interfaces for interacting with data and content one typically assumes that one knows the type of data and one knows how to interact with such type of data. The core idea of the Semantic Web is that data is self-describing, which implies that its semantics is not designed and described at an initial point in time, but it rather emerges by its use. This flexibility is one of the greatest assets of the Semantic Web, but it also severely handicaps intelligent interaction with its data.
In this talk, we will sketch the principal problem as well as first steps to deal with the problem of interacting with the unknown.
The Web of Data: do we actually understand what we built?Frank van Harmelen
Despite its obvious success (largest knowledge base ever built, used in practice by companies and governments alike), we actually understand very little of the structure of the Web of Data. Its formal meaning is specified in logic, but with its scale, context dependency and dynamics, the Web of Data has outgrown its traditional model-theoretic semantics.
Is the meaning of a logical statement (an edge in the graph) dependent on the cluster ("context") in which it appears? Does a more densely connected concept (node) contain more information? Is the path length between two nodes related to their semantic distance?
Properties such as clustering, connectivity and path length are not described, much less explained by model-theoretic semantics. Do such properties contribute to the meaning of a knowledge graph?
To properly understand the structure and meaning of knowledge graphs, we should no longer treat knowledge graphs as (only) a set of logical statements, but treat them properly as a graph. But how to do this is far from clear.
In this talk, I report on some of our early results on some of these questions, but I ask many more questions for which we don't have answers yet.
Learn how one organization put Linked Data to work for it by adding a sixth star - using APIs - to Sir Tim Berners-Lee's 5-Star Scale for implementing Linked Open Data. This session includes an introduction to Linked Open Data, Linked Closed Data, and Berners-Lee's 5 star scale and do a step-by-step walk-through of a successful implementation. It includes a frank discussion regarding the technical and organizational challenges encountered with a real-world Linked Data project and how those challenges were overcome. In this presentation, you will not only learn how to think about Linked Data APIs in real world terms, but also how to "sell" it to the organization."
About the Webinar
The library and cultural institution communities have generally accepted the vision of moving to a Linked Data environment that will align and integrate their resources with those of the greater Semantic Web. But moving from vision to implementation is not easy or well-understood. A number of institutions have begun the needed infrastructure and tools development with pilot projects to provide structured data in support of discovery and navigation services for their collections and resources.
Join NISO for this webinar where speakers will highlight actual Linked Data projects within their institutions—from envisioning the model to implementation and lessons learned—and present their thoughts on how linked data benefits research, scholarly communications, and publishing.
Speakers:
Jon Voss - Strategic Partnerships Director, We Are What We Do
LODLAM + Historypin: A Collaborative Global Community
Matt Miller - Front End Developer, NYPL Labs at the New York Public Library
The Linked Jazz Project: Revealing the Relationships of the Jazz Community
Cory Lampert - Head, Digital Collections , UNLV University Libraries
Silvia Southwick - Digital Collections Metadata Librarian, UNLV University Libraries
Linked Data Demystified: The UNLV Linked Data Project
The Web of Data: do we actually understand what we built?Frank van Harmelen
Despite its obvious success (largest knowledge base ever built, used in practice by companies and governments alike), we actually understand very little of the structure of the Web of Data. Its formal meaning is specified in logic, but with its scale, context dependency and dynamics, the Web of Data has outgrown its traditional model-theoretic semantics.
Is the meaning of a logical statement (an edge in the graph) dependent on the cluster ("context") in which it appears? Does a more densely connected concept (node) contain more information? Is the path length between two nodes related to their semantic distance?
Properties such as clustering, connectivity and path length are not described, much less explained by model-theoretic semantics. Do such properties contribute to the meaning of a knowledge graph?
To properly understand the structure and meaning of knowledge graphs, we should no longer treat knowledge graphs as (only) a set of logical statements, but treat them properly as a graph. But how to do this is far from clear.
In this talk, I report on some of our early results on some of these questions, but I ask many more questions for which we don't have answers yet.
Learn how one organization put Linked Data to work for it by adding a sixth star - using APIs - to Sir Tim Berners-Lee's 5-Star Scale for implementing Linked Open Data. This session includes an introduction to Linked Open Data, Linked Closed Data, and Berners-Lee's 5 star scale and do a step-by-step walk-through of a successful implementation. It includes a frank discussion regarding the technical and organizational challenges encountered with a real-world Linked Data project and how those challenges were overcome. In this presentation, you will not only learn how to think about Linked Data APIs in real world terms, but also how to "sell" it to the organization."
About the Webinar
The library and cultural institution communities have generally accepted the vision of moving to a Linked Data environment that will align and integrate their resources with those of the greater Semantic Web. But moving from vision to implementation is not easy or well-understood. A number of institutions have begun the needed infrastructure and tools development with pilot projects to provide structured data in support of discovery and navigation services for their collections and resources.
Join NISO for this webinar where speakers will highlight actual Linked Data projects within their institutions—from envisioning the model to implementation and lessons learned—and present their thoughts on how linked data benefits research, scholarly communications, and publishing.
Speakers:
Jon Voss - Strategic Partnerships Director, We Are What We Do
LODLAM + Historypin: A Collaborative Global Community
Matt Miller - Front End Developer, NYPL Labs at the New York Public Library
The Linked Jazz Project: Revealing the Relationships of the Jazz Community
Cory Lampert - Head, Digital Collections , UNLV University Libraries
Silvia Southwick - Digital Collections Metadata Librarian, UNLV University Libraries
Linked Data Demystified: The UNLV Linked Data Project
Using knowledge graphs in data mining typically requires a propositional, i.e., vector-shaped representation of entities. RDF2vec is an example for generating such vectors from knowledge graphs, relying on random walks for extracting pseudo-sentences from a graph, and utilizing word2vec for creating embedding vectors from those pseudo-sentences. In this talk, I will give insights into the idea of RDF2vec, possible application areas, and recently developed variants incorporating different walk strategies and training variations.
A presentation at DH2014-Lausanne of the Tesseract training methods and tools developed by eMOP (at the IDHMC at Texas A&M), and their uses for other book history and typeface history research.
How are Knowledge Graphs created?
What is inside public Knowledge Graphs?
Addressing typical problems in Knowledge Graphs (errors, incompleteness)
New Knowledge Graphs: WebIsALOD, DBkWik
Data-driven Joint Debugging of the DBpedia Mappings and OntologyHeiko Paulheim
DBpedia is a large-scale, cross-domain knowledge graph extracted from Wikipedia. For the extraction, crowd-sourced mappings from Wikipedia infoboxes to the DBpedia ontology are utilized. In this process, different problems may arise: users may create wrong and/or inconsistent mappings, use the ontology in an unforeseen way, or change the ontology without considering all possible consequences. In this paper, we present a data-driven approach to discover problems in mappings as well as in the ontology and its usage in a joint, data-driven process. We show both quantitative and qualitative results about the problems identified, and derive proposals for altering mappings and refactoring the DBpedia ontology.
The General Ontology Evaluation Framework (GOEF) & the I-Choose Use CaseA ...Joanne Luciano
Example of the application of General Ontology Evaluation Framework (GOEF) to uses cases from I-Choose, a transnational project (NSF (USA) and CONACYT (Mexico)). to build an interoperable data architecture to support ethical consumption, with a focus on sustainable coffee products produced in Mexico and consumed and distributed in Canada and in the US.
Components of I-Choose System: A set of data standards to share information across sustainable supply-chain and a governance system.
National Institute of Standards and Technology
NIST Grant No.: 60NANB12D201
PI: Joanne S. Luciano
In this session, I will review the literature on virtual communities of practice and wikis in emergency medicine. I will propose a new model for knowledge translation to link emergency physicians from across Canada in the creation of a novel open-source and free database of shared resources that can be reused and adapted to local contexts. Finally, I will provide a glimpse of a new era in knowledge translation in the era of the Semantic Web.
Learning Objectives
1- Learn how communities of practice and wikis can support clinical practice in emergency medicine
2- Learn how a database of open-source and free knowledge tools could support your ED
3- Learn about the evolution of knowledge translation in the era of the of the Semantic Web
This slides covers all aspects
of current Web services and discusses the future direction of Web services.
It explains how to discover, describe, and access Web services and the technologies
behind those functions. It also provides concrete use cases for
deploying Web services and answers the question “Why use Web services?”
Lastly, it provides detailed description of advanced Web service applications
to include orchestration and security. The chapter closes with a discussion
of grid-enabled Web services and semantic-enabled Web services.
Is the Semantic Web what we expected? Adoption Patterns and Content-driven Ch...Chris Bizer
http://iswc2016.semanticweb.org/pages/program/keynote-bizer.html
Semantic Web technologies, such as Linked Data and Schema.org, are used by a significant number of websites to support the automated processing of their content. In the talk, I will contrast the original vision of the Semantic Web with empirical findings about the adoption of Semantic Web technologies on the Web. The analysis will show areas in which data providers behave as envisioned by the Semantic Web community but will also reveal areas in which real-world adoption patterns strongly deviate. Afterwards, I will discuss the challenges that result from the current adoption situation. To address these challenges, I will exemplify entity reconciliation, vocabulary matching, and data quality assessment techniques which exploit all semantic clues that are provided while being tolerant to noise and lazy data providers.
Using knowledge graphs in data mining typically requires a propositional, i.e., vector-shaped representation of entities. RDF2vec is an example for generating such vectors from knowledge graphs, relying on random walks for extracting pseudo-sentences from a graph, and utilizing word2vec for creating embedding vectors from those pseudo-sentences. In this talk, I will give insights into the idea of RDF2vec, possible application areas, and recently developed variants incorporating different walk strategies and training variations.
A presentation at DH2014-Lausanne of the Tesseract training methods and tools developed by eMOP (at the IDHMC at Texas A&M), and their uses for other book history and typeface history research.
How are Knowledge Graphs created?
What is inside public Knowledge Graphs?
Addressing typical problems in Knowledge Graphs (errors, incompleteness)
New Knowledge Graphs: WebIsALOD, DBkWik
Data-driven Joint Debugging of the DBpedia Mappings and OntologyHeiko Paulheim
DBpedia is a large-scale, cross-domain knowledge graph extracted from Wikipedia. For the extraction, crowd-sourced mappings from Wikipedia infoboxes to the DBpedia ontology are utilized. In this process, different problems may arise: users may create wrong and/or inconsistent mappings, use the ontology in an unforeseen way, or change the ontology without considering all possible consequences. In this paper, we present a data-driven approach to discover problems in mappings as well as in the ontology and its usage in a joint, data-driven process. We show both quantitative and qualitative results about the problems identified, and derive proposals for altering mappings and refactoring the DBpedia ontology.
The General Ontology Evaluation Framework (GOEF) & the I-Choose Use CaseA ...Joanne Luciano
Example of the application of General Ontology Evaluation Framework (GOEF) to uses cases from I-Choose, a transnational project (NSF (USA) and CONACYT (Mexico)). to build an interoperable data architecture to support ethical consumption, with a focus on sustainable coffee products produced in Mexico and consumed and distributed in Canada and in the US.
Components of I-Choose System: A set of data standards to share information across sustainable supply-chain and a governance system.
National Institute of Standards and Technology
NIST Grant No.: 60NANB12D201
PI: Joanne S. Luciano
In this session, I will review the literature on virtual communities of practice and wikis in emergency medicine. I will propose a new model for knowledge translation to link emergency physicians from across Canada in the creation of a novel open-source and free database of shared resources that can be reused and adapted to local contexts. Finally, I will provide a glimpse of a new era in knowledge translation in the era of the Semantic Web.
Learning Objectives
1- Learn how communities of practice and wikis can support clinical practice in emergency medicine
2- Learn how a database of open-source and free knowledge tools could support your ED
3- Learn about the evolution of knowledge translation in the era of the of the Semantic Web
This slides covers all aspects
of current Web services and discusses the future direction of Web services.
It explains how to discover, describe, and access Web services and the technologies
behind those functions. It also provides concrete use cases for
deploying Web services and answers the question “Why use Web services?”
Lastly, it provides detailed description of advanced Web service applications
to include orchestration and security. The chapter closes with a discussion
of grid-enabled Web services and semantic-enabled Web services.
Is the Semantic Web what we expected? Adoption Patterns and Content-driven Ch...Chris Bizer
http://iswc2016.semanticweb.org/pages/program/keynote-bizer.html
Semantic Web technologies, such as Linked Data and Schema.org, are used by a significant number of websites to support the automated processing of their content. In the talk, I will contrast the original vision of the Semantic Web with empirical findings about the adoption of Semantic Web technologies on the Web. The analysis will show areas in which data providers behave as envisioned by the Semantic Web community but will also reveal areas in which real-world adoption patterns strongly deviate. Afterwards, I will discuss the challenges that result from the current adoption situation. To address these challenges, I will exemplify entity reconciliation, vocabulary matching, and data quality assessment techniques which exploit all semantic clues that are provided while being tolerant to noise and lazy data providers.
Semantic technologies in practice - KULeuven 2016Aad Versteden
Slides of the course given at the KULeuven lecture of Knowledge and the Web on 2016/10/26. Examples of semantic technologies and a way of developing web apps on top of it.
Semantic Technologies and Programmatic Access to Semantic Data Steffen Staab
This is a talk given at the Semantics@Roche Forum on September 8, 2015. It is a short version of the talk I gave in July at Summer School Semantic Web and really a subset of the slides I showed then.
Joint Keynote at Int. Conference on Knowledge Engineering and Semantic Web and Prague Computer Science Seminar, Prague, September 22, 2016
The challenges of Big Data are frequently explained by dealing with Volume, Velocity, Variety and Veracity. The large variety of data in organizations results from accessing different information systems with heterogeneous schemata or ontologies. In this talk I will present the research efforts that target the management of such broad data.
They include: (i) an integrated development environment for programming with broad data, (ii) a query language that allows for typing of query results, (iii) a typed lambda-calculus based on description logics, and (iv) efficient access to data repositories via schema indices.
Invited Talk at Summer School on Semantic Web, Bertinoro, 2015
Abstract:
Two decades ago one has discussed how to build seamless digital workflows
such that the medium for data in a workflow would not switch between paper, fax, phone,
and digital, because each transcription from one to another medium would
be laborious and cost-inefficient. Thus, the issue was avoiding *medium discontinuities*.
Today, we have all-digital data workflows, but we have still plenty of *semantic discontinuities*.
In this talk, I want first to describe reasons for this discontinuities including: autonomy of
data providers, need for agility and flexibility, or decentralized organizations in
the world-wide data spaces.
Then I want to describe several semantics discontinuities and some efforts to
ameliorate them by:
1. Semantic programming (Horizontal workflow paradigm)
2. Core ontologies (Vertical workflow paradigm)
3. Semantic data production and consumption (Sticky semantics)
Information-Rich Programming in F# with Semantic DataSteffen Staab
Programming with rich data frequently implies that one
needs to search for, understand, integrate and program with
new data - with each of these steps constituting a major
obstacle to successful data use.
In this talk we will explain and demonstrate how our approach,
LITEQ - Language Integrated Types, Extensions and Queries for
RDF Graphs, which is realized as part of the F# / Visual Studio-
environment, supports the software developer. Using the extended
IDE the developer may now
a. explore new, previously unseen data sources,
which are either natively in RDF or mapped into RDF;
b. use the exploration of schemata and data in order to
construct types and objects in the F# environment;
c. automatically map between data and programming language objects in
order to make them persistent in the data source;
d. have extended typing functionality added to the F#
environment and resulting from the exploration of the data source
and its mapping into F#.
Core to this approach is the novel node path query language, NPQL,
that allows for interactive, intuitive exploration of data schemata and
data proper as well as for the mapping and definition
of types, object collections and individual objects.
Beyond the existing type provider mechanism for F#
our approach also allows for property-based navigation
and runtime querying for data objects.
How Graph Databases used in Police Department?Samet KILICTAS
This presentation delivers basics of graph concept and graph databases to audience. It clearly explains how graph databases are used with sample use cases from industry and how it can be used for police departments. Questions like "When to use a graph DB?" and "Should I solve a problem with Graph DB?" are answered.
The evolution of the Web should move forward in an upward spiral that cylces between guiding values, engineering and science. Guiding values should comprise social values as well as system principles that further stabilization and growth of the Web. Principles I will talk about will include social inclusion, connectedness and fairness. Example efforts improve Web access for disabled, critically access Web structures and Web growth, and try to transfer knowledge about previously found patterns of Web growth to analogous cases.
Open Source Data Visualization for Resource Sharing: An Ivy Plus Libraries Pr...Heidi Nance
https://sched.co/GB4S
Presentation by Heidi Nance and Joe Zucca.
In order to better understand scholarly use of a vast collective collection - both within and without our 13-library partnership - Ivy Plus Libraries is leveraging MetriDoc, an open-source framework devised by a library for libraries, to create a generalizable data analysis infrastructure and visualization service. MetriDoc gathers, normalizes, and presents BorrowDirect consortial Resource Sharing data as well as ILLiad (interlibrary loan + document delivery) data from all 13 Ivy Plus Libraries—more than 500,000 transactions, annually. It integrates seamlessly with Tableau or other commodity statistical applications, thus allowing staff in any functional area (Assessment, User Services, Collections, IT, Technical Services, User Experience, Research & Instruction, etc.) to query, download, and interpret resource sharing data to support a variety of one-time or ongoing assessment projects.
In this session we will discuss the Ivy Plus project and goals, the framework’s IMLS-funded history, and basic architecture, myriad use cases, and creative opportunities for future extensibility and connections with third-party systems common to libraries. Come learn how you, too, can analyze the larger-than-you-might-expect Resource Sharing data universe.
The explosion in growth of the Web of Linked Data has provided, for the first time, a plethora of information in disparate locations, yet bound together by machine-readable, semantically typed relations. Utilisation of the Web of Data has been, until now, restricted to the members of the community, eating their own dogfood, so to speak. To the regular web user browsing Facebook and watching YouTube, this utility is yet to be realised. The primary factor inhibiting uptake is the usability of the Web of Data, where users are required to have prior knowledge of elements from the Semantic Web technology stack. Our solution to this problem is to hide the stack, allowing end users to browse the Web of Data, explore the information it contains, discover knowledge, and use Linked Data. We propose a template-based visualisation approach where information attributed to a given resource is rendered according to the rdf:type of the instance.
In this talk I review some of the early visions of the Semantic Web, some of the different views, and I follow through on a thread of how Semantic Web technology has been adopted in search engines (and other companies). I end with a challenge to the research community to keep pursuing this research, rather than letting industry take over the "low end" and keep new work from flourishing.
Ariadne's Thread -- Exploring a world of networked information built from fre...Shenghui Wang
Most of the current interfaces to digital libraries are built on keyword-based search and list-based presentation. For users who do not have specific items to search for but would rather explore not-yet-familiar topics, it is not easy to figure out to what extend and on which aspects the returned records match the query. Users have to try different combinations of keywords to narrow down or broaden the search space in the hope of getting useful results in the end. In this talk, we will present a web interface that provides users an opportunity to interactively and visually explore the context of queries. In this interface, after entering a query, a contextual view about the query is visualised, where the most related journals, authors, subject headings, publishers, topical terms, etc. are positioned in 2D based on their relatedness to the query and among each other. By clicking any of these nodes, a new visualisation about the selected one is presented. With this click-through style, the users could get visual contexts about their selected entities (journal, author, topical terms, etc.) and shift their interests by choosing interested (types of) entities to investigate further. At any stop, a search in WorldCat.org with the currently focused entity (a topical word, a author or a journal) will return the most matched results (judged by the standard WorldCat search engine).
We implemented this interface over WorldCat, the world largest bibliographic database. To guarantee the responsiveness of this interactive interface, we adopt a two-step approach: an off-line preparation phase with an on-line process. Off-line, we build the semantic representation of each entity where Random Projection is used to vigorously reduce dimensionality (from 6 million to 600). In the on-line interface terms from a query are compared to entities in the reduced semantic matrix where reciprocal relatedness is used to select genuine matches. The number of hits is further reduced to render a network layout easy to overview and navigate. In the end, we can investigate the relations between roughly 6 million topical terms, 5 million authors, 1 million subject headings 1000 Dewey decimal codes and 1.7 million publishers.
The Unreasonable Effectiveness of MetadataJames Hendler
Invited talk at VIVO 2017 conference - explores the view of the semantic web as enriched metadata, and how that kind of information can be used in new and interesting ways.
2015 FOSS4G Track: Spatiotemporal Interface Development: Using Web Technologi...GIS in the Rockies
Communicating patterns in large spatiotemporal datasets can be a challenging and complicated task. While a variety of tools are available to visualize these data on the desktop, web technologies offer a unique opportunity to create interfaces that allow users to interactively explore complex multivariate datasets. In this presentation we outline a process for building spatiotemporal visualizations on the web. From data processing through architecture and development we describe technologies and languages you should know to get off the ground and walk through other important considerations in developing intuitive data exploration interfaces.
Shapes for Sharing between Graph Data Spaces - and Epistemic Querying of RDF-...Steffen Staab
Data spaces in distributed environments should be allowed to evolve in agile ways providing data space owners with large flexibility about which data they store. Agility and heterogeneity, however, jeopardize data exchanges because representations may build on varying ontologies and data consumers may not rely on the semantic correctness of their queries in the context of semantically heterogeneous, evolving data spaces. Graph data spaces are one example of a powerful model for representing and querying data whose semantics may change over time. To assert and enforce conditions on individual graph data spaces, shape languages (e.g SHACL) have been developed. We investigate the question of how querying and programming can be guarded by reasoning over SHACL constraints in a distributed setting and we sketch a picture of how a future landscape based on semantically heterogeneous data spaces might look like.
Knowledge graphs for knowing more and knowing for sureSteffen Staab
Knowledge graphs have been conceived to collect heterogeneous data and knowledge about large domains, e.g. medical or engineering domains, and to allow versatile access to such collections by means of querying and logical reasoning. A surge of methods has responded to additional requirements in recent years. (i) Knowledge graph embeddings use similarity and analogy of structures to speculatively add to the collected data and knowledge. (ii) Queries with shapes and schema information can be typed to provide certainty about results. We survey both developments and find that the development of techniques happens in disjoint communities that mostly do not understand each other, thus limiting the proper and most versatile use of knowledge graphs.
Symbolic Background Knowledge for Machine LearningSteffen Staab
Machine learning aims at learning complex functions from data. Very often, this challenge remains ill-defined given the available amount of data, however, background knowledge that is available as knowledge graphs, ontologies or symbolic (physical) equations allows for an improved specification of the targeted solution. In this talk, we want to discuss several use cases that include symbolic background knowledge as regularizing priors, as constraints or as other inductive biases into machine learning tasks.
Soziale Netzwerke und Medien: Multi-disziplinäre Ansätze für ein multi-dimens...Steffen Staab
Präsentation von Oul Han und Steffen Staab
Workshop "Soziale Netzwerke und Medien" auf dem Treffen des Fakultätentags Informatik, 14. November 2019, Hamburg
Web Futures: Inclusive, Intelligent, SustainableSteffen Staab
Almost from its very beginning, the Web has been ambivalent.
It has facilitated freedom for information, but this also included the freedom to spread misinformation. It has faciliated intelligent personalization, but at the cost of intrusion into our private lifes. It has included more people than any other system before, but at the risk of exploiting them.
The Web is full of such ambivalences and the usage of artificial intelligences threatens to further amplify these ambivalences. To further the good and to contain the negative consequences, we need a research agenda studying and engineering the Web, as well as numerous activities by societies at large. In this talk, I will present and discuss a joint effort by an interdisciplinary team of Web Scientists to prepare and pursue such an agenda.
Concepts in Application Context ( How we may think conceptually )Steffen Staab
Formal concept analysis (FCA) derives a hierarchy of concepts
in a formal context that relates objects with attributes. This approach is very well aligned with the traditions of Frege, Saussure and Peirce, which relate a signifier (e.g. a word/an attribute) to a mental concept evoked by this word and meant to refer to a specific object in the real world. However, in the practice of natural languages as well as artificial languages (e.g. programming languages), the application context
often constitutes a latent variable that influences the interpretation of a signifier. We present some of our current work that analyzes the usage of words in natural language in varying application contexts as well as the usage of variables in programming languages in varying application contexts in order to provide conceptual constraints on these signifiers.
Storing and Querying Semantic Data in the CloudSteffen Staab
Daniel Janke and Steffen Staab. Tutorial at Reasoning Web
With proliferation of semantic data, there is a need to cope with trillions of triples by horizontally scaling data management in the cloud. To this end one needs to advance (i) strategies for data placement over compute and storage nodes, (ii) strategies for distributed query processing, and (iii) strategies for handling failure of compute and storage nodes. In this tutorial, we want to review challenges and how they have been addressed by research and development in the last 15 years.
Talk at Leopoldina Symposium on Digitization and its Effects on Man and Society
(Die Digitalisierung und ihre Auswirkungen auf Mensch und Gesellschaft)
leopoldina.org/de/veranstaltungen/veranstaltung/event/2464/
(Semi-)Automatic analysis of online contentsSteffen Staab
How can media and discourse analyses combine approaches from humanities and statistical methods to deeply analyse large amounts of online contents.
Invited talk at Fachgruppen-Workshop der Deutschen Gesellschaft für Publizistik und Kommunikationswissenschaft
Soziale Medien – Echo-Kammer oder öffentlicher Raum?
Ansätze zur computergestützten Analyse von Internet-Korpora
6. Oktober 2016, Karlsruher Institut für Technologie (KIT)
We use metadata of various kind to improve and enrich text document clustering using an extension of Latent Dirichlet Allocation (LDA). The methods are fully implemented, evaluated and software is available on github.
These are the slides of an invited talk I gave September 8 at the Alexandria Workshop of TPDL-2016: http://alexandria-project.eu/events/3rd-workshop/
Artificia Intellicence and XPath Extension FunctionsOctavian Nadolu
The purpose of this presentation is to provide an overview of how you can use AI from XSLT, XQuery, Schematron, or XML Refactoring operations, the potential benefits of using AI, and some of the challenges we face.
Utilocate offers a comprehensive solution for locate ticket management by automating and streamlining the entire process. By integrating with Geospatial Information Systems (GIS), it provides accurate mapping and visualization of utility locations, enhancing decision-making and reducing the risk of errors. The system's advanced data analytics tools help identify trends, predict potential issues, and optimize resource allocation, making the locate ticket management process smarter and more efficient. Additionally, automated ticket management ensures consistency and reduces human error, while real-time notifications keep all relevant personnel informed and ready to respond promptly.
The system's ability to streamline workflows and automate ticket routing significantly reduces the time taken to process each ticket, making the process faster and more efficient. Mobile access allows field technicians to update ticket information on the go, ensuring that the latest information is always available and accelerating the locate process. Overall, Utilocate not only enhances the efficiency and accuracy of locate ticket management but also improves safety by minimizing the risk of utility damage through precise and timely locates.
A Study of Variable-Role-based Feature Enrichment in Neural Models of CodeAftab Hussain
Understanding variable roles in code has been found to be helpful by students
in learning programming -- could variable roles help deep neural models in
performing coding tasks? We do an exploratory study.
- These are slides of the talk given at InteNSE'23: The 1st International Workshop on Interpretability and Robustness in Neural Software Engineering, co-located with the 45th International Conference on Software Engineering, ICSE 2023, Melbourne Australia
Mobile App Development Company In Noida | Drona InfotechDrona Infotech
Looking for a reliable mobile app development company in Noida? Look no further than Drona Infotech. We specialize in creating customized apps for your business needs.
Visit Us For : https://www.dronainfotech.com/mobile-application-development/
Zoom is a comprehensive platform designed to connect individuals and teams efficiently. With its user-friendly interface and powerful features, Zoom has become a go-to solution for virtual communication and collaboration. It offers a range of tools, including virtual meetings, team chat, VoIP phone systems, online whiteboards, and AI companions, to streamline workflows and enhance productivity.
Enterprise Resource Planning System includes various modules that reduce any business's workload. Additionally, it organizes the workflows, which drives towards enhancing productivity. Here are a detailed explanation of the ERP modules. Going through the points will help you understand how the software is changing the work dynamics.
To know more details here: https://blogs.nyggs.com/nyggs/enterprise-resource-planning-erp-system-modules/
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
Custom Healthcare Software for Managing Chronic Conditions and Remote Patient...Mind IT Systems
Healthcare providers often struggle with the complexities of chronic conditions and remote patient monitoring, as each patient requires personalized care and ongoing monitoring. Off-the-shelf solutions may not meet these diverse needs, leading to inefficiencies and gaps in care. It’s here, custom healthcare software offers a tailored solution, ensuring improved care and effectiveness.
Atelier - Innover avec l’IA Générative et les graphes de connaissancesNeo4j
Atelier - Innover avec l’IA Générative et les graphes de connaissances
Allez au-delà du battage médiatique autour de l’IA et découvrez des techniques pratiques pour utiliser l’IA de manière responsable à travers les données de votre organisation. Explorez comment utiliser les graphes de connaissances pour augmenter la précision, la transparence et la capacité d’explication dans les systèmes d’IA générative. Vous partirez avec une expérience pratique combinant les relations entre les données et les LLM pour apporter du contexte spécifique à votre domaine et améliorer votre raisonnement.
Amenez votre ordinateur portable et nous vous guiderons sur la mise en place de votre propre pile d’IA générative, en vous fournissant des exemples pratiques et codés pour démarrer en quelques minutes.
OpenMetadata Community Meeting - 5th June 2024OpenMetadata
The OpenMetadata Community Meeting was held on June 5th, 2024. In this meeting, we discussed about the data quality capabilities that are integrated with the Incident Manager, providing a complete solution to handle your data observability needs. Watch the end-to-end demo of the data quality features.
* How to run your own data quality framework
* What is the performance impact of running data quality frameworks
* How to run the test cases in your own ETL pipelines
* How the Incident Manager is integrated
* Get notified with alerts when test cases fail
Watch the meeting recording here - https://www.youtube.com/watch?v=UbNOje0kf6E
AI Pilot Review: The World’s First Virtual Assistant Marketing SuiteGoogle
AI Pilot Review: The World’s First Virtual Assistant Marketing Suite
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-pilot-review/
AI Pilot Review: Key Features
✅Deploy AI expert bots in Any Niche With Just A Click
✅With one keyword, generate complete funnels, websites, landing pages, and more.
✅More than 85 AI features are included in the AI pilot.
✅No setup or configuration; use your voice (like Siri) to do whatever you want.
✅You Can Use AI Pilot To Create your version of AI Pilot And Charge People For It…
✅ZERO Manual Work With AI Pilot. Never write, Design, Or Code Again.
✅ZERO Limits On Features Or Usages
✅Use Our AI-powered Traffic To Get Hundreds Of Customers
✅No Complicated Setup: Get Up And Running In 2 Minutes
✅99.99% Up-Time Guaranteed
✅30 Days Money-Back Guarantee
✅ZERO Upfront Cost
See My Other Reviews Article:
(1) TubeTrivia AI Review: https://sumonreview.com/tubetrivia-ai-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
Quarkus Hidden and Forbidden ExtensionsMax Andersen
Quarkus has a vast extension ecosystem and is known for its subsonic and subatomic feature set. Some of these features are not as well known, and some extensions are less talked about, but that does not make them less interesting - quite the opposite.
Come join this talk to see some tips and tricks for using Quarkus and some of the lesser known features, extensions and development techniques.
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI AppGoogle
AI Fusion Buddy Review: Brand New, Groundbreaking Gemini-Powered AI App
👉👉 Click Here To Get More Info 👇👇
https://sumonreview.com/ai-fusion-buddy-review
AI Fusion Buddy Review: Key Features
✅Create Stunning AI App Suite Fully Powered By Google's Latest AI technology, Gemini
✅Use Gemini to Build high-converting Converting Sales Video Scripts, ad copies, Trending Articles, blogs, etc.100% unique!
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✅Automatically create & sell AI content, graphics, websites, landing pages, & all that gets you paid non-stop 24*7.
✅Pre-built High-Converting 100+ website Templates and 2000+ graphic templates logos, banners, and thumbnail images in Trending Niches.
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✅Commercial License included!
See My Other Reviews Article:
(1) AI Genie Review: https://sumonreview.com/ai-genie-review
(2) SocioWave Review: https://sumonreview.com/sociowave-review
(3) AI Partner & Profit Review: https://sumonreview.com/ai-partner-profit-review
(4) AI Ebook Suite Review: https://sumonreview.com/ai-ebook-suite-review
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Launch Your Streaming Platforms in MinutesRoshan Dwivedi
The claim of launching a streaming platform in minutes might be a bit of an exaggeration, but there are services that can significantly streamline the process. Here's a breakdown:
Pros of Speedy Streaming Platform Launch Services:
No coding required: These services often use drag-and-drop interfaces or pre-built templates, eliminating the need for programming knowledge.
Faster setup: Compared to building from scratch, these platforms can get you up and running much quicker.
All-in-one solutions: Many services offer features like content management systems (CMS), video players, and monetization tools, reducing the need for multiple integrations.
Things to Consider:
Limited customization: These platforms may offer less flexibility in design and functionality compared to custom-built solutions.
Scalability: As your audience grows, you might need to upgrade to a more robust platform or encounter limitations with the "quick launch" option.
Features: Carefully evaluate which features are included and if they meet your specific needs (e.g., live streaming, subscription options).
Examples of Services for Launching Streaming Platforms:
Muvi [muvi com]
Uscreen [usencreen tv]
Alternatives to Consider:
Existing Streaming platforms: Platforms like YouTube or Twitch might be suitable for basic streaming needs, though monetization options might be limited.
Custom Development: While more time-consuming, custom development offers the most control and flexibility for your platform.
Overall, launching a streaming platform in minutes might not be entirely realistic, but these services can significantly speed up the process compared to building from scratch. Carefully consider your needs and budget when choosing the best option for you.
Top Features to Include in Your Winzo Clone App for Business Growth (4).pptxrickgrimesss22
Discover the essential features to incorporate in your Winzo clone app to boost business growth, enhance user engagement, and drive revenue. Learn how to create a compelling gaming experience that stands out in the competitive market.
Introducing Crescat - Event Management Software for Venues, Festivals and Eve...Crescat
Crescat is industry-trusted event management software, built by event professionals for event professionals. Founded in 2017, we have three key products tailored for the live event industry.
Crescat Event for concert promoters and event agencies. Crescat Venue for music venues, conference centers, wedding venues, concert halls and more. And Crescat Festival for festivals, conferences and complex events.
With a wide range of popular features such as event scheduling, shift management, volunteer and crew coordination, artist booking and much more, Crescat is designed for customisation and ease-of-use.
Over 125,000 events have been planned in Crescat and with hundreds of customers of all shapes and sizes, from boutique event agencies through to international concert promoters, Crescat is rigged for success. What's more, we highly value feedback from our users and we are constantly improving our software with updates, new features and improvements.
If you plan events, run a venue or produce festivals and you're looking for ways to make your life easier, then we have a solution for you. Try our software for free or schedule a no-obligation demo with one of our product specialists today at crescat.io
Need for Speed: Removing speed bumps from your Symfony projects ⚡️Łukasz Chruściel
No one wants their application to drag like a car stuck in the slow lane! Yet it’s all too common to encounter bumpy, pothole-filled solutions that slow the speed of any application. Symfony apps are not an exception.
In this talk, I will take you for a spin around the performance racetrack. We’ll explore common pitfalls - those hidden potholes on your application that can cause unexpected slowdowns. Learn how to spot these performance bumps early, and more importantly, how to navigate around them to keep your application running at top speed.
We will focus in particular on tuning your engine at the application level, making the right adjustments to ensure that your system responds like a well-oiled, high-performance race car.
Need for Speed: Removing speed bumps from your Symfony projects ⚡️
The Semantic Web - Interacting with the Unknown
1. Steffen Staab The Semantic Web: Interacting with the Unknown 1Institute for Web Science and Technologies · University of Koblenz-Landau, Germany
Web and Internet Science Group · ECS · University of Southampton, UK &
The Semantic Web:
Interacting with the Unknown
Steffen Staab
University of Southampton
&
Universität Koblenz-Landau
2. Steffen Staab The Semantic Web: Interacting with the Unknown 2
Daten – Menschen
Meaning?
3. Steffen Staab The Semantic Web: Interacting with the Unknown 3
Traditional Information System
Business
Logics
Structured Data
Unstructured
Data
Presentation and
Interaction
Charakteristics:
• Processes known
• Data structures
known
• Meaning of data in
schema and
implicit in code
4. Steffen Staab The Semantic Web: Interacting with the Unknown 4
Information ecosystems nowadays
Examples
• Open Data
• 1000s
DBs/company
• Ad-hoc data
Characteristics
• Some structure
• Late structure
• Social context
• Meaning of data
most important
5. Steffen Staab The Semantic Web: Interacting with the Unknown 5
How does data receive meaning?
Explicit:
• Formal schema/ontology
– By someone else?
Implicit:
• Names are just used for
describing
Social:
• Communities converge
– By discussion
– By emergence
Meaning?
6. Steffen Staab The Semantic Web: Interacting with the Unknown 6
A Bit like Crisps ...
Sub languages
• For consumer
– title,...
• Global retailers
– barcode
• US food industry
– serving size, calories,...
• Producer
– batch number
...
https://www.youtube.com/watch?v=ga1aSJXCFe0
Depending on who you are – you encounter the
(un)expected, the (un)known, the (un)understandable,...
7. Steffen Staab The Semantic Web: Interacting with the Unknown 7
What is the Semantic
Web/Linked Data?
8. Steffen Staab The Semantic Web: Interacting with the Unknown 8
What is a triple?
http://dbtune.org/musicbrainz/resource/artist/d87e52c5-bb8d-4da8-b941-9f4928627dc8
ABBA
foaf:name
9. Steffen Staab The Semantic Web: Interacting with the Unknown 9
What is Linked Data? The LOD Cloud
10. Steffen Staab The Semantic Web: Interacting with the Unknown 10
What is Linked Data? Linked Data Principles1. URIs as
identifiers
2. http
lookup
3. RDF
(triples)
4. relations, also
to other locations
11. Steffen Staab The Semantic Web: Interacting with the Unknown 11
What is Linked Data good for?
• Data integration is (relatively) easy
– Migrating different data sources to
linked data is (relatively) easy
• Late schema is easy
– Just add some more fields
• Ignoring data is easy
– Think of crisps
• Serendipitous use
– Discover new information & new sources
by following links
• Data repurposing / pointing
– Use what others have done at both schema
and data level
12. Steffen Staab The Semantic Web: Interacting with the Unknown 12
Issue: From Unknown Data Publishing to
Unknown Data (Schema) Understanding
13. Steffen Staab The Semantic Web: Interacting with the Unknown 13
State-of-the-Art: One App at a Time
Shameless self-promotion: Semaplorer
[Schenk et al., JoWS 2009]
Billion Triples Challenge 1. Prize
2008
14. Steffen Staab The Semantic Web: Interacting with the Unknown 14
State-of-the-Art: One App at a Time
Shameless self-promotion: LISA
1. Prize
German
Linked Open Gov Data
Competition 2012
15. Steffen Staab The Semantic Web: Interacting with the Unknown 15
LENA – A Fresnel application
Fresnel Vocab by [Pietriga et al. ISWC-2006]
16. Steffen Staab The Semantic Web: Interacting with the Unknown 16
What‘s between the two?
One App at a Time
+ Great to use
+ Like DB application
- Brittle
- Not really extensible
Generic Frameworks
+ Can be applied on all data
- Data remains hard to
understand
- No process support
- Noone wants to use them
17. Steffen Staab The Semantic Web: Interacting with the Unknown 17
Facet Navigation in an Open
World
18. Steffen Staab The Semantic Web: Interacting with the Unknown 18
Mobile Facets: Exploring Spaces & Events
(Linked) Data Sources
• Places and names:
– Wikipedia
– GeoNames
• Events
– Eventful
– Upcoming
• Photos
– Flickr
Characteristics:
• open list
• unknown categories
and items
• low quality
categorization
• mobile app
19. Steffen Staab The Semantic Web: Interacting with the Unknown 19
Mobile Facets: Exploring Spaces & Events
20. Steffen Staab The Semantic Web: Interacting with the Unknown 20
Conceptual
Navigation Model
21. Steffen Staab The Semantic Web: Interacting with the Unknown 21
Hypertextual Navigation (from D. Schwabe)
What does it mean to
click here?
Semantics is clear,
but Pragmatics?
Context +
Grice‘s Pertinence!
[Bomfim & Schwabe, 2011]
22. Steffen Staab The Semantic Web: Interacting with the Unknown 22
Hypertextual Navigation (from D. Schwabe)
• Input: LOD + Navigation Model + other stuff
• Navigation Model
– A Context is a set of resources that share similar
navigation opportunities.
• Context:Navigation ⇔Class:Structure+Behavior
– Navigation Metamodel
23. Steffen Staab The Semantic Web: Interacting with the Unknown 23
Hypertextual Navigation (from D. Schwabe)
foaf:Document
DocumentsAlpha
byPerson
foaf:Person
PersonsAlpha
byDocument
AllDocuments
AllPersons
DocumentsByPerson
AllEvents
swc:AcademicEvent
EventsAlpha
byUserProgramEventsByUserProgram
byOrganiza on
Hitting a link of type
„Organization“
means different
things in different
contexts!
Here is one!
24. Steffen Staab The Semantic Web: Interacting with the Unknown 24
Programming with the
Unknown
25. Steffen Staab The Semantic Web: Interacting with the Unknown 25
Programming with Linked Data
26. Steffen Staab The Semantic Web: Interacting with the Unknown 26
Programming with Linked Data
Tasks of the Programmer
1 Schema exploration
2 Programming
code types
3 Programming queries
4 Programming procedures
for
• creating,
• manipulating,
• persisting
objects
c1
27. Steffen Staab The Semantic Web: Interacting with the Unknown 27
Node Path Query Language with auto completion
Exploration of classes
Exploration of relations
Exploration of instances
28. Steffen Staab The Semantic Web: Interacting with the Unknown 28
LITEQ in Action
29. Steffen Staab The Semantic Web: Interacting with the Unknown 29
LITEQ in Action
30. Steffen Staab The Semantic Web: Interacting with the Unknown 30
NPQL and LITEQ
NPQL (Node Path Query Language)
• Intensional Queries
describing classes and relations
• Extensional Queries
data items
LITEQ (Language Integrated Types, Extensions and Queries)
• Implementation of NPQL as F# Type Provider in Visual Studio
• Auto completion using NPQL queries
• Automatic typing
of extensional query results
by intensional queries
31. Steffen Staab The Semantic Web: Interacting with the Unknown 31
Outlook: Programming with Linked Data
• More expressive query languages
– Derived data types in tractable description logics!
• More precise combined type inference
– (derived) type from data source
– type inference in programming language
• Programming across data sources
– Federated queries
– Linktraversal-based queries (the unknown sources)
• Integration of schema induction
– Low quality of schema/ontologies
• Improved autocompletion
32. Steffen Staab The Semantic Web: Interacting with the Unknown 32
Tags & Eye Tracking
Deriving Semantics from Interaction
34. Steffen Staab The Semantic Web: Interacting with the Unknown 34
Meaning from Cues + Observation
=
car + +
carcar
35. Steffen Staab The Semantic Web: Interacting with the Unknown 35
Pragmatics
A theory for interacting with the unknown?
36. Steffen Staab The Semantic Web: Interacting with the Unknown 36
Austin: How to do things with words
Core Hypothesis by Austin:
Speech is not only passively describing a given reality, but it can
change the (social) reality it is describing through speech acts
Summary from Wikipedia, 2012-06-09
37. Steffen Staab The Semantic Web: Interacting with the Unknown 37
Why Do We Understand the Text Web?
38. Steffen Staab The Semantic Web: Interacting with the Unknown 38
Austin: How to do things with words
• Phonic act / graphic act:
PopulationIs486,855.
• Locutionary act:
population(Duisburg,486,855)
Grice‘s
maxims
39. Steffen Staab The Semantic Web: Interacting with the Unknown 39
Grice‘s Maxims / Cooperative Principle
Interacting agents mutually assume that:
• Quantity:
– Be as informative as you possibly can,
– give as much information as needed, not more.
• Quality:
– Be truthful
• Pertinence:
– be relevant,
– say things pertinent to the discussion
• Manner:
– be clear, brief, orderly as one can
– avoid obscurity and ambiguity
Criteria are
competing and
overlapping.
40. Steffen Staab The Semantic Web: Interacting with the Unknown 40
Austin: How to do things with words
• Phonic act / graphic act:
PopulationIs486,855.
• Locutionary act:
population(Duisburg, 486,855)
• Illocutionary act:
Inform reader about core characteristic of a city
• Perlocutionary act:
Plan for how to travel, use of taxi/rental car…
Grice‘s
maxims
41. Steffen Staab The Semantic Web: Interacting with the Unknown 41
Austin: How to do things with words
Core Hypothesis by Austin:
Speech is not only passively describing a given reality, but it can
change the (social) reality it is describing through speech acts
Summary from Wikipedia, 2012-06-09
Hypothesis of this talk:
Linked data is facts, but the idea of linked data is also
re-purposing,
⟹ re-presenting,
⟹ re-narrating,
to achieve an understandable dialogue
42. Steffen Staab The Semantic Web: Interacting with the Unknown 42
Data is not Text
Quantity:
• One triple vs big data
➯ What is the right amount?
Pertinence:
• Pertinence to dialogue
➯ Does the discussion/interaction determine data
selection?
Manner:
• Data is not sequential
➯ No implicit ordering contained in the data
(e.g. birthdata before date of death)
43. Steffen Staab The Semantic Web: Interacting with the Unknown 43
Semantic Web / Linked Data
• Phonic act / graphic act:
ThetemperatureinMilwaukeeis100°F.
- various syntaxes -
• Locutionary act:
population(Duisburg, 486,855)
- RDF/OWL interpretation –
Generic
applications easily
violate Grice‘s
maxims!
Quantity
Quality
Pertinence
Manner
Lead question:
Does the Semantic Web
have a pragmatics layer?
How would this look like?
44. Steffen Staab The Semantic Web: Interacting with the Unknown 44
Conclusion
45. Steffen Staab The Semantic Web: Interacting with the Unknown 45
Syntax
Semantics
Pragmatics
Metamodels
Patterns
Rankings
...
46. Steffen Staab The Semantic Web: Interacting with the Unknown 46
Issue: From Unknown Data Publishing to
Unknown Data Understanding
Cognition
Storytelling
Pragmatics
Ontology Patterns
Conceptual Modeling
Metamodels
...
Quantity
Pertinence
Manner
47. Steffen Staab The Semantic Web: Interacting with the Unknown 47
• Size of „unknown“ data is quickly growing
• Interaction with „unknown“ data is underexplored
• Interaction with the Semantic Web is both
– Challenge
– Opportunity
• Example topics/challenges:
– What are best Meta-frameworks?
– What are best styles of interaction for user-defined
semantics of data?
– Conceptual Programming by Non-Programmers
Call-to-arms
48. Steffen Staab The Semantic Web: Interacting with the Unknown 48
Semantic
Web
Social Web &
Web Retrieval
Interactive Web &
Human Computing
Web &
Economy
Software &
Services
Computational
Social Science
Thank You!
49. Steffen Staab The Semantic Web: Interacting with the Unknown 49
Literature
J. L. Austin. How to do things with words. Oxford University Press, 1962/1975.
M. H. de S. Bomfim, Daniel Schwabe. Design and Implementation of Linked Data Applications
Using SHDM and Synth. Int. Conf. Web Engineering 2011, pp. 121-136.
Chierchia, Gennaro.; McConnell-Ginet, Sally: Meaning and Grammar : An Introduction to
Semantics. MIT Press, 1990.
E. Pietriga, C. Bizer, D. Karger, R. Lee: Fresnel: A Browser-Independent Presentation Vocabulary
for RDF. International Semantic Web Conference 2006, Springer 158-171.
S. Schenk, C. Saathoff, S. Staab, A. Scherp. SemaPlorer – Interactive Semantic Exploration of
Data and Media based on a Federated Cloud Infrastructure. In Journal of Web Semantics.
Special issue on Semantic Web Challenge Winners 2008. Elsevier, 7(4), 2009.
Kleinen, A. Scherp, S. Staab. Interactive faceted search and exploration of open social media
data on a touchscreen mobile phone. Multimedia Tools and Applications. DOI 10.1007s11042-
013-1366-3
M. Konrath, T. Gottron, S. Staab, A. Scherp. SchemEX – Efficient Construction of a Data
Catalogue by Stream-based Indexing of Linked Data. In: Journal of Web Semantics. Special
issue on Semantic Web Challenge Winners 2011. Elsevier, Volume 16, November 2012, pp.
52-58.
M. Leinberger, S. Scheglmann, R. Lämmel, S. Staab, M. Thimm, E. Viegas. Semantic Web
Application Development with LITEQ. In: ISWC-2014, LNCS, Springer 2014