A5071736571- Topic Modeling
- Semantic Web and Ontologies
- Natural Language Processing Techniques
- Service-Oriented Architecture and Web Services
- Data Quality and Management
- Web Data Mining and Analysis
- Advanced Graph Neural Networks
- Biomedical Text Mining and Ontologies
- Usability and User Interface Design
- Speech and dialogue systems
- Digital Marketing and Social Media
- Advanced Database Systems and Queries
- Geographic Information Systems Studies
- Advanced Software Engineering Methodologies
- Cancer Treatment and Pharmacology
- Data Management and Algorithms
- Mobile Crowdsensing and Crowdsourcing
- Business Process Modeling and Analysis
- Advanced Text Analysis Techniques
- Interactive and Immersive Displays
- Web Applications and Data Management
- Data Stream Mining Techniques
- Mobile and Web Applications
- Expert finding and Q&A systems
- Mineral Processing and Grinding
Leipzig University of Applied Sciences
2022-2024
DATEV (Germany)
2017-2024
Anhalt University of Applied Sciences
2019-2023
Perm National Research Polytechnic University
2021
Lohmann (Germany)
2021
Leipzig University
2013-2015
Martin Luther University Halle-Wittenberg
2008
Quantifying the coherence of a set statements is long standing problem with many potential applications that has attracted researchers from different sciences. The special case measuring topics been recently studied to remedy topic models give no guaranty on interpretablity their output. Several benchmark datasets were produced record human judgements interpretability topics. We are first propose framework allows construct existing word based measures as well new ones by combining elementary...
We present GERBIL, an evaluation framework for semantic entity annotation. The rationale behind our is to provide developers, end users and researchers with easy-to-use interfaces that allow the agile, fine-grained uniform of annotation tools on multiple datasets. By these means, we aim ensure both tool developers can derive meaningful insights pertaining extension, integration use applications. In particular, GERBIL provides comparable results so as them easily discover strengths weaknesses...
With the development of Semantic Web, a lot new structured data has become available on Web in form knowledge bases (KBs). Making this valuable accessible and usable for end-users is one main goals question answering (QA) over KBs. Most current QA systems query KB, language (namely English). The existing approaches are not designed to be easily adaptable KBs languages. We first introduce approach translating natural questions SPARQL queries. It able several simultaneously, different...
The ability to have the same experience for different user groups (i.e., accessibility) is one of most important characteristics Web-based systems. true Knowledge Graph Question Answering (KGQA) systems that provide access Semantic Web data via natural language interface. While following our research agenda on multilingual aspect accessibility KGQA systems, we identified several ongoing challenges. One them lack benchmarks. In this work, extend popular benchmarks - QALD-9 by introducing...
Abstract In the last decade, a large number of knowledge graph (KG) completion approaches were proposed. Albeit effective, these efforts are disjoint, and their collective strengths weaknesses in effective KG have not been studied literature. We extend Plumber , framework that brings together research community’s disjoint on completion. include more components into architecture to comprise 40 reusable for various subtasks, such as coreference resolution, entity linking, relation extraction....
Large amounts of geospatial data have been made available recently on the linked open cloud and portals many national cartographic agencies (e.g., OpenStreetMap data, administrative geographies various countries, or land cover/land use sets). These datasets vocabularies can be queried using SPARQL its OGC-standardized extension GeoSPARQL. In this paper we go beyond these approaches to offer a question answering service top sources. Our system has implemented as re-usable components Qanary...
Topic models extract representative word sets - called topics from counts in documents without requiring any semantic annotations. Topics are not guaranteed to be well interpretable, therefore, coherence measures have been proposed distinguish between good and bad topics. Studies of topic so far limited that score pairs individual words. For the first time, we include scientific philosophy more complex subsets apply them scoring.
Knowledge Graph Question Answering (KGQA) has gained attention from both industry and academia over the past decade. Researchers proposed a substantial amount of benchmarking datasets with different properties, pushing development in this field forward. Many these benchmarks depend on Freebase, DBpedia, or Wikidata. However, KGQA that Freebase DBpedia are gradually less studied used, because is defunct lacks structural validity Therefore, research gravitating toward Wikidata-based...
Question answering (QA) is one of the biggest challenges for making sense out data. The Web Data has attracted attention QA community and recently, a number schema-aware systems have been introduced. While research achievements are individually significant, yet, integrating different approaches not possible due to lack systematic approach conceptually describing systems. In this paper, we present message-driven vocabulary built upon an abstract level. This concluded from conceptual views...
Providing access to information is the main and most important purpose of Web. However, despite available easy-to-use tools (e.g., search engines, chatbots, question answering) accessibility typically limited by capability using English language. This excludes a huge amount people. In this work, we discuss Knowledge Graph Question Answering (KGQA) systems that aim at providing natural language data stored in Graphs (KG). While several KGQA have been proposed, only very few dealt with other...
This paper presents a survey on multilingual Knowledge Graph Question Answering (mKGQA). We employ systematic review methodology to collect and analyze the research results in field of mKGQA by defining scientific literature sources, selecting relevant publications, extracting objective information (e.g., problem, approach, evaluation values, used metrics, etc.), thoroughly analyzing information, searching for novel insights, methodically organizing them. Our insights are derived from 46...
Over the last decade, a growing importance of search engines could be observed. An increasing amount knowledge is exposed and connected within Linked Open Data Cloud, which raises users' expectations to able for any information that directly or indirectly contained. However, diverse data types require tailored functionalities---such as semantic, geospatial full text search.
Today model checking of Web Services formulated in BPEL is often reduced by transforming BPEL-processes to Petri nets. These can be checked using traditional approaches. If recursion present the this approach hides some possible violations wished behaviour. We an which allows Service developer formulate more properties required usage and provide a tool that checks whether these requirements are satisfied based system. use finite state machines specify permitted sequences receivable...