see also: Google Scholar, DBLP, VBN Aalborg


Publications since 2023 are listed on the DMKI website.


2022

  1. ‣A. Lamurias, M. Sereika, M. Albertsen, K. Hose, T. D. Nielsen
    Metagenomic Binning with Assembly Graph Embeddings
    In: Bioinformatics, 2022

  2. ‣G. Abuoda, D. Dell‘Aglio, A. Keen, K. Hose
    Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches
    In: QuWeDa icw. ISWC, 2022, pp. 17-32 (details) (extended version)

  3. ‣M. Lissandrini, T. Sagi, T. B. Pedersen, K. Hose
    Understanding RDF Data Representations in Triplestores
    In: SEBD 2022, pp. 93-100

  4. ‣E. R. Hansen, T. Sagi, K. Hose, G. Y. H. Lip, T. B. Larsen, F. Skjøth
    Assigning Diagnosis Codes using Medication History
    In: Journal of Artificial Intelligence in Medicine, vol. 128, 2022

  5. ‣K. Rabbani, M. Lissandrini, K. Hose
    SHACL and ShEx in the Wild: A Community Survey on Validating Shapes Generation and Adoption
    In: The ACM Web Conference 2022, Companion Volume, pp. 260-263

  6. ‣A. Lamurias, M. Sereika, M. Albertsen, K. Hose, T. D. Nielsen
    Metagenomic binning with assembly graph embeddings
    In: bioRxiv, 2022

  7. ‣T. Sagi, M. Lissandrini, T. B. Pedersen, K. Hose
    A Design Space for RDF Data Representations
    In: The VLDB Journal, 2022

  8. ‣M. Lissandrini, D. Mottin, K. Hose, T. B. Pedersen
    Knowledge Graph Exploration Systems: are we lost?
    In: CIDR 2022

  9. ‣R. P. Deb Nath, O. Romero, T. B. Pedersen, K. Hose
    High-Level ETL for Semantic Data Warehouses
    In: Semantic Web Journal, vol. 13, no. 1, pp. 85-132, 2022

  10. ‣N. Gür, T. B. Pedersen, K. Hose, M. Midtgaard
    Multidimensional Enrichment of Spatial RDF Data for SOLAP
    In: Semantic Web Journal, vol. 13, no. 1, pp. 5-39, 2022

  11. ‣G. Abuoda, D. Dell‘Aglio, A. Keen, K. Hose
    Transforming RDF-star to Property Graphs: A Preliminary Analysis of Transformation Approaches -- extended version
    In: CoRR abs/2210.05781, 2022

  12. ‣C. Aebeloe, G. Montoya, K. Hose
    The Lothbrok approach for SPARQL Query Optimization over Decentralized Knowledge Graphs
    In: CoRR abs/2209.04185, 2022

  13. ‣T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose
    Simple and Powerful Architecture for Inductive Recommendation Using Knowledge Graph Convolutions
    In: CoRR abs/2208.14692, 2022

  14. ‣A. Lamurias, A. Tibo, K. Hose, M. Albertsen, T. D. Nielsen
    Graph Neural Networks for Microbial Genome Recovery
    In: CoRR abs/2204.12270, 2022


2021

  1. ‣D. Hernandez, L. Galárraga, K. Hose
    Computing How-Provenance for SPARQL Queries via Query Rewriting
    In: VLDB 2022, PVLDB, vol. 14, no. 13, (details)

  2. ‣E. Mansour, K. Srinivas, K. Hose
    Federated Data Science to Break Down Silos
    In: SIGMOD Record, 2021, vol. 50, no. 4 (arxiv pre-print)

  3. ‣K. Hose
    Knowledge Graph (R)Evolution and the Web of Data
    In: MEDPDaW 2021, position paper, pp. 1-7

  4. ‣F. P. Lyngse, K. Mølbak, R. L. Skov, L. E. Christiansen, L. H. Mortensen, M. Albertsen, C. H. Møller, T. G. Krause, M. Rasmussen, T. Y. Michaelsen, M. Voldstedlund, J. Fonager, N. Steenhard, Carsten Thure Kirkeby, J. Brandt, S. Knutsson, E. A. Sørensen, T. Nymann, C. Petersen, C. E. Chiche-Lapierre, F. T. Hansen, E. F. Collados, A. Berg, S. R. Bielidt, S. M. Dall, E. Dvarionaite, S. H. Hansen, V. R. Jørgensen, T. B. Nicolajsen, W. Saei, S. K. Østergaard, V. Le-Quy, M. Sereika, R. H. Kirkegaard, K. S. Andersen, M. H. Andersen, K. K. Hansen, M. Boye, M. P. Bach, P. Dissing, A. Drastrup-Fjordbak, M. Collin, F. Büttner, S. Andersen, L. S. Otte, M. Bøgsted, R. F. Brøndum, K. Hose, T. Sagi, M. Pakanec, H. B. Krarup, D. Fuglsang-Damgaard, M. Mølvadgaard
    Increased transmissibility of SARS-CoV-2 lineage B.1.1.7 by age and viral load
    In: Nature Communications, 12, 1, 7251

  5. ‣O. Pelgrin, L. Galárraga, K. Hose
    TrieDF: Efficient In-memory Indexing for Metadata-augmented RDF
    In: MEDPDaW 2021, pp. 20-29

  6. ‣C. Aebeloe, G. Montoya, K. Hose
    A Demonstration of ColChain: Collaborative Knowledge Chains
    In: ISWC 2021, ceur, vol. 2980, paper 351 (details)

  7. ‣O. Pelgrin, L. Galárraga, K. Hose
    Towards Fully-fledged Archiving for RDF Datasets
    In: Semantic Web Journal, vol. 12, no. 6, pp. 903-925, 2021

  8. ‣C. Aebeloe, G. Montoya, K. Hose
    ColChain: Collaborative Linked Data Networks
    In: TheWebConf 2021, pp. 1385-1396 (details)

  9. ‣A. Azzam, C. Aebeloe, G. Montoya, I. Keles, A. Polleres, K. Hose
    WiseKG: Balanced Access to Web Knowledge Graphs
    In: TheWebConf 2021, pp. 1422-1434 (details)

  10. ‣K. Rabbani, M. Lissandrini, K. Hose
    Optimizing SPARQL Queries using Shape Statistics
    In: EDBT 2021, pp. 505-510 (details)

  11. ‣S. Sakr, A. Bonifati, H. Voigt, A. Iosup, K. Ammar, R. Angles, W. Aref, M. Arenas, M. Besta, P. Boncz, K. Daudjee, E. Della Valle, S. Dumbrava, O. Hartig, B. Haslhofer, T. Hegeman, J. Hidders, K. Hose, A. Iamnitchi, V. Kalavri, H. Kapp, W. Martens, M. T. Özsu, E. Peukert, S. Plantikow, M. Ragab, M. R. Ripeanu, S. Salihoglu, C. Schulz, P. Selmer, J. F. Sequeda, J. Shinavier, G. Szarnyas, R. Tommasini, A. Tumeo, A. Uta, A. L. Varbanescu, H.-Y. Wu, N. Yakovets, D. Yan, E. Yoneki
    The Future is Big Graphs! A Community View on Graph Processing Systems (arxiv version)
    In: Communications of the ACM, 64 (9), pp. 62-71

  12. ‣A. Brams, A. L. Jakobsen, T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose
    MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings -- extended version
    In: CoRR, abs/2106.04209, (tool, dataset)

  13. ‣K. Hose, J. Bjerva
    Fra korrelation til kausalitet: ML, NLP og relation extraction skal forstå miljørapporter
    In: ING/DATATECH Synspunkt


2020

  1. ‣E. R. Hansen, M. Lissandrini, A. Ghose, S. Løkke, C. Thomsen, K. Hose
    Transparent Integration and Sharing of Life Cycle Sustainability Data with Provenance
    In: ISWC 2020, pp. 378-394

  2. ‣A. Brams, A. L. Jakobsen, T. E. Jendal, M. Lissandrini, P. Dolog, K. Hose
    MindReader: Recommendation over Knowledge Graph Entities with Explicit User Ratings
    In: CIKM 2020, pp. 2975–2982 (tool, dataset)

  3. ‣M. Lissandrini, T. B. Pedersen, K. Hose, D. Mottin
    Knowledge Graph Exploration: Where Are We and Where Are We Going?
    In: SIGWEB Newsletter (pdf)

  4. ‣T. Sagi, E. R. Hansen, K. Hose, G. Y. H. Lip, T. B. Larsen, F. Skjøth
    Towards Assigning Diagnosis Codes using Medication History
    AIME Best Paper Award Nominee
    In: AIME 2020, pp. 203-213

  5. ‣R. P. Deb Nath, T. B. Pedersen, O. Romero, A. Bhattacharjee
    SETL_BI: An Integrated Platform for Semantic Business Intelligence
    In: TheWebConf 2020 (Companion Volume), pp. 167-171

  6. ‣L. Zervakis, V. Setty, C. Tryfonopoulos, K. Hose
    Efficient Continuous Multi-Query Processing over Graph Streams
    In: EDBT 2020, pp. 13-24

  7. ‣K. Hose
    The Web of Data is partially unavailable, so what?: Extended Abstract.
    In: GRADES-NDA@SIGMOD 2020

  8. ‣R. P. Deb Nath, O. Romero, T. B. Pedersen, K. Hose
    High-Level ETL for Semantic Data Warehouses - Full Version
    In: CoRR, abs/2006.07180, 2020

  9. ‣C. Aebeloe, I. Keles, G. Montoya, K. Hose
    Star Pattern Fragments: Accessing Knowledge Graphs through Star Patterns
    In: CoRR, abs/2002.09172, 2020

  10. ‣N. Gür, T. B. Pedersen, K. Hose, M. Midtgaard
    Multidimensional Enrichment of Spatial RDF Data for SOLAP - Full Version
    In: CoRR, abs/2002.06608, 2020

  11. ‣S. Sakr, A. Bonifati, H. Voigt, A. Iosup, K. Ammar, R. Angles, W. Aref, M. Arenas, M. Besta, P. Boncz, K. Daudjee, E. Della Valle, S. Dumbrava, O. Hartig, B. Haslhofer, T. Hegeman, J. Hidders, K. Hose, A. Iamnitchi, V. Kalavri, H. Kapp, W. Martens, M. T. Özsu, E. Peukert, S. Plantikow, M. Ragab, M. R. Ripeanu, S. Salihoglu, C. Schulz, P. Selmer, J. F. Sequeda, J. Shinavier, G. Szarnyas, R. Tommasini, A. Tumeo, A. Uta, A. L. Varbanescu, H.-Y. Wu, N. Yakovets, D. Yan, E. Yoneki
    The Future is Big Graphs! A Community View on Graph Processing Systems
    In: CooRR, abs/2012.06171, 2020

2019

  1. ‣C. Aebeloe, G. Montoya, K. Hose
    Decentralized Indexing over a Network of RDF Peers
    In: ISWC 2019, pp. 3-20 (details)

  2. ‣I. Keles, K. Hose
    Skyline Queries over Knowledge Graphs
    In: ISWC 2019, pp. 293-310

  3. ‣G. Montoya, I. Keles, K. Hose
    Analysis of the Effect of Query Shapes on Performance over LDF Interfaces
    In: QuWeDa icw. ISWC 2019, pp. 51-66

  4. ‣G. Montoya, I. Keles, K. Hose
    Querying Linked Data: An Experimental Evaluation of State-of-the-Art Interfaces
    In: CoRR, abs/1912.08010, 2019

  5. ‣S. T. Nigatu, C. Gómez, O. Romero, K. Hose
    ARDI: Automatic Generation of RDFS Models from Heterogeneous Data Sources
    In: EDOC 2019, pp. 190-196

  6. ‣C. Aebeloe, G. Montoya, K. Hose
    A Decentralized Architecture for Sharing and Querying Semantic Data
    In: ESWC 2019, pp. 3--18 (details)

  7. ‣G. Ercan, S. Elbassuoni, K. Hose
    Retrieving Textual Evidence for Knowledge Graph Facts
    In: ESWC 2019, pp. 52-67 (details)

  8. ‣A. Jakobsen, G. Montoya, K. Hose
    How Diverse are Federated Query Execution Plans Really?
    ESWC Best Demo Award Nominee
    In: ESWC 2019 (Satellite Events), pp. 105-110

  9. ‣A. Ghose, K. Hose, M. Lissandrini, B. P. Weidema
    An Open Source Dataset and Ontology for Product Footprinting (pdf)
    ESWC Best Poster Award
    In: ESWC 2019 (Satelite Events), pp. 75-79

  10. ‣T. Sagi, Y. Wolf, K. Hose
    How new is the (RDF) news?
    In: KGTA icw. TheWebConf 2019, WWW (Companion Volume) 2019, pp. 714-721

  11. ‣L. Zervakis, V. Setty, C. Tryfonopoulos, K. Hose
    Efficient Continuous Multi-Query Processing over Graph Streams
    In: CoRR, abs/1902.05134, 2019

  12. ‣Olaf Hartig, Katja Hose, Juan F. Sequeda
    Linked Data Management
    In: Encyclopedia of Big Data Technologies 2019


2018

  1. ‣L. Galárraga, K. A. Jakobsen, K. Hose, T. B. Pedersen
    Answering Provenance-Aware Queries on RDF Data Cubes under Memory Budgets
    In: ISWC 2018, pp. 547-565 (details)

  2. ‣G. Montoya, C. Aebeloe, K. Hose
    Towards Efficient Query Processing over Heterogeneous RDF Interfaces
    In: DeSemWeb 2018 and ISWC (Best Workshop Papers), pp. 39-53 (details)

  3. ‣C. Aebeloe, V. Setty, G. Montoya, K. Hose
    Top-K Diversification for Path Queries in Knowledge Graphs
    In: ISWC 2018 Posters and Demos

  4. ‣C. Aebeloe, G. Montoya, K. Hose, V. Setty
    Discovering Diversified Paths in Knowledge Bases
    In: PVLDB 2018 11(12): 2002-2005 (2018) (details)

  5. ‣V. Setty, K. Hose
    Event2Vec: Neural Embeddings for News Events
    In: SIGIR 2018, pp. 1013-1016

  6. ‣J. Rouces, G. de Melo, K. Hose
    Addressing structural and linguistic heterogeneity in the Web
    In: AI Communications, Volume 31, Issue 1, pp. 3-18

  7. ‣N. Gür, T. B. Pedersen, E. Zimányi, K. Hose
    A Foundation for Spatial Data Warehouses on the Semantic Web
    In: Semantic Web Journal 9 (5): 557-587 (2018)


2017

  1. ‣L. Galárraga, K. A. Jakobsen, K. Hose
    QBOAirbase: European Air Quality Database as an RDF Cube
    In: ISWC 2017 Posters and Demos (details)

  2. ‣G. Montoya, H. Skaf-Molli, K. Hose
    The Odyssey Approach for Optimizing Federated SPARQL Queries
    In: ISWC 2017, pp. 471–489

  3. ‣J. Rouces, G. de Melo and K. Hose
    FrameBase: Enabling Integration of Heterogeneous Knowledge
    In: Semantic Web Journal 2017, Volume 8, Issue 6, pp. 817–850

  4. ‣L. Galárraga, K. Hose, S. Razniewski
    Enabling Completeness-aware Querying in SPARQL
    In: WebDB 2017, pp. 19--22

  5. ‣N. Gür, Jacob Nielsen, K. Hose, T. B. Pedersen
    GeoSemOLAP: Geospatial OLAP on the Semantic Web Made Easy
    WWW Best Demo Award by Reviewer‘s Choice
    In: WWW 2017, pp. 213--217

  6. ‣R. P. Deb Nath, K. Hose, T. B. Pedersen, O. Romero
    SETL: A Programmable Semantic Extract-Transform-Load Framework for Semantic Data Warehouses
    In: Information Systems, Volume 68,  August 2017, pp. 17-43


2016

  1. ‣D. Ibragimov, K. Hose, T. B. Pedersen, E. Zimányi
    Optimizing Aggregate SPARQL Queries using Materialized RDF Views
    In: ISWC 2016, pp. 341-359

  2. ‣K. Hose
    Skyline Queries
    In: Datenbank-Spektrum, Volume 16, Issue 3 (2016), pp. 247-251

  3. ‣J. Rouces, G. de Melo and K. Hose
    Heuristics for Connecting Heterogeneous Knowledge via FrameBase
    In: ESWC 2016, pp. 20-35

  4. ‣J. Rouces, G. de Melo and K. Hose
    Klint: Assisting Integration and Querying of Heterogeneous Knowledge
    In: IJCAI 2016, pp. 4262-4263

  5. ‣K. A. Jakobsen, K. Hose, T. B. Pedersen
    Towards Answering Provenance-Enabled SPARQL Queries for RDF Data Cubes
    In: JIST 2016, pp. 186-203

  6. ‣N. Gür, K. Hose, T. B. Pedersen, E. Zimányi
    Enabling Spatial OLAP over Environmental and Farming Data with QB4SOLAP
    In: JIST 2016, pp. 287-304

  7. ‣E. Valsomatzis, T. B. Pedersen, A. Abelló, K. Hose
    Aggregating Energy Flexibilities under Constraints
    In: 2016 IEEE International Conference on Smart Grid Communications (SmartGridComm)

  8. ‣E. Valsomatzis, T. B. Pedersen, A. Abelló, K. Hose, L. Siksnys
    Towards constraint-based aggregation of energy flexibilities
    In: eEnergy 2016 Posters

  9. ‣J. Rouces, G. de Melo and K. Hose
    Complex Schema Mapping and Linking Data: Beyond Binary Predicates
    In: LDOW 2016 co-located with WWW 2016


2015

  1. ‣E. Valsomatzis, K. Hose, T. B. Pedersen, L. Siksnys
    Aggregating and Disaggregating Flexibility Objects
    In: TKDE, 2015, Volume 27, Issue 11 (2015), pp. 2893-2906

  2. ‣N. Gür, K. Hose, T. B. Pedersen, E. Zimányi
    Modeling and Querying Spatial Data Warehouses on the Semantic Web
    In: JIST 2015, pp. 3-22

  3. ‣K. A. Jakobsen, A. B. Andersen, K. Hose, T. B. Pedersen
    Optimizing RDF Data Cubes for Efficient Processing of Analytical Queries
    In: COLD 2015 co-located with ISWC 2015 (details)

  4. ‣R. P. Deb Nath, K. Hose, T. B. Pedersen
    Towards a Programmable Semantic Extract-Transform-Load Framework for Semantic Data Warehouses
    In: DOLAP 2015 co-located with CIKM 2015, pp. 15-24

  5. ‣L. Galárraga, C. Teflioudi, K. Hose, F. Suchanek
    Fast Rule Mining in Ontological Knowledge Bases with AMIE+
    In: The VLDB Journal, Volume 24, Issue 6 (2015), pp. 707-730

  6. ‣L. Galárraga, C. Teflioudi, K. Hose, F. Suchanek
    Rule mining with AMIE+
    In: Technical Report, Télécom ParisTech

  7. ‣D. Ibragimov, K. Hose, T. B. Pedersen, E. Zimányi
    Processing Aggregate Queries in a Federation of SPARQL Endpoints
    In: ESWC 2015, pp. 269-285

  8. ‣J. Rouces, G. de Melo and K. Hose
    FrameBase: Representing N-ary Relations using Semantic Frames
    ESWC Best Student Paper Award Nominee
    In: ESWC 2015, pp. 505-521

  9. ‣J. Rouces, G. de Melo and K. Hose
    Representing Specialized Events with FrameBase
    In: DeRiVE 2015 co-located with ESWC 2015, pp. 58-69

  10. ‣E. Valsomatzis, K. Hose, T. B. Pedersen, L. Siksnys
    Measuring and Comparing Energy Flexibilities
    In: EnDM 2015 (EDBT/ICDT workshops), pp. 78-85

  11. ‣S. Hagedorn, K. Hose, K. Sattler
    SPARQling Pig - Processing Linked data with Pig Latin
    In: BTW 2015, pp. 279-298


2014

  1. ‣A. B. Andersen, N. Gür, K. Hose, K. A. Jakobsen, T. B. Pedersen
    Publishing Danish Agricultural Government Data as Semantic Web Data
    In: JIST 2014, pp. 178-186

  2. ‣A. B. Andersen, N. Gür, K. Hose, K. A. Jakobsen, T. B. Pedersen
    Publishing Danish Agricultural Government Data as Semantic Web Data
    In: DBTR, 2015, Technical Report, Aalborg University

  3. ‣S. Hagedorn, K. Hose, K. Sattler, J. Umbrich
    Resource Planning for SPARQL Query Execution on Data Sharing Platforms
    In: 5th International Workshop on Consuming Linked Data (COLD 2014) in conjunction with ISWC 2014

  4. ‣E. Valsomatzis, K. Hose, T. B. Pedersen
    Balancing Energy Flexibilities through Aggregation
    In: DARE 2014, pp. 17-37

  5. ‣D. Ibragimov, K. Hose, T. B. Pedersen, E. Zimányi
    Towards Exploratory OLAP over Linked Open Data - a Case Study
    In: BIRTE 2014, pp 114-132

  6. ‣L. Galárraga, K. Hose, R. Schenkel
    Partout: A Distributed Engine for Efficient RDF Processing
    In: WWW 2014, pp. 267-268

  7. ‣P. Haase, K. Hose, R. Schenkel, M. Schmidt, A. Schwarte:
    Federated Query Processing over Linked Data
    In: Linked Data Management, pp. 369-387

  8. ‣A. Harth, K. Hose, R. Schenkel (Eds.)
    Linked Data Management
    Book, CRC Press, May 2014

        


2013

  1. ‣L. Galárraga, C. Teflioudi, K. Hose, F. Suchanek
    AMIE: Association Rule Mining under Incomplete Evidence in Ontological Knowledge Bases
    WWW Best Student Paper Award
    In: WWW 2013, pp. 413-422

  2. ‣K. Hose, R. Schenkel
    WARP: Workload-Aware Replication and Partitioning for RDF
    In: DESWEB icw ICDE 2013, ICDE Workshops, pp. 1-6

  3. ‣G. de Melo, K. Hose
    Searching the Web of Data
    In: ECIR 2013, pp. 869-873


2012

  1. ‣L. Galárraga, K. Hose, R. Schenkel
    Partout: A Distributed Engine for Efficient RDF Processing
    In: CoRR, abs/1212.5636, 2012.

  2. ‣A. Schwarte, P. Haase, K. Hose, R. Schenkel, M. Schmidt
    An Experience Report of Large Scale Federations
    In: CoRR, abs/1210.5403, 2012.

  3. ‣H. Betz, F. Gropengießer, K. Hose, K. Sattler
    Learning from the History of Distributed Query Processing - A Heretic View on Linked Data Management
    In: 3rd International Workshop on Consuming Linked Data (COLD 2012 icw. ISWC 2012)

  4. ‣S. Metzger, M. Stoll, K. Hose, R. Schenkel
    LUKe and MIKE: Learning from User Knowledge and Managing Interactive Knowledge Extraction
    In: CIKM 2012 Demonstrations, pp. 2671-2673

  5. ‣S. Metzger, K. Hose, R. Schenkel
    Colledge - A Vision of Collaborative Knowledge Networks
    In: 2nd International Workshop on Semantic Search over the Web (SSW) in conjunction with VLDB 2012, pp. 1:1-1:8

  6. ‣K. Hose, R. Schenkel
    Towards Benefit-Based RDF Source Selection for SPARQL Queries
    In: 4th International Workshop on Semantic Web Information Management (SWIM) in conjunction with SIGMOD 2012, pp. 2:1-2:8

  7. ‣A. Harth, K. Hose, R. Schenkel
    Database Techniques for Linked Data Management
    In: SIGMOD 2012, pp. 597-600

  8. ‣K. Hose, A. Vlachou
    Distributed Skyline Processing: a Trend in Database Research Still Going Strong
    In: EDBT 2012, pp. 558-561

  9. ‣R. Jäkel, S. Metzger, K. Hose, R. Schenkel, J. Daivandy, P. Harms, D.Hünich, B. Schuller, S. Agarwal, M. Junghans
    Interactive Information Extraction based on Distributed Data Management for D-Grid Projects
    In: EGI Community Forum 2012

  10. ‣K. Hose, A. Vlachou
    A Survey of Skyline Processing in Highly Distributed Environments
    In: The VLDB Journal, Volume 21, Issue 3 (2012), pp. 359-384


2011

  1. ‣S. Metzger, S. Elbassuoni, K. Hose, R. Schenkel
    S3K: Seeking Statement-Supporting top-K Witnesses
    In: CIKM 2011, pp. 37-46

  2. ‣A. Schwarte, P. Haase, K. Hose, R. Schenkel. M. Schmidt
    FedX: Optimization Techniques for Federated Query Processing on Linked Data
    In: ISWC 2011, pp. 601-616

  3. ‣H. Issa, K. Hose, S. Metzger, R. Schenkel
    Advances Towards Semantic Plagiarism Detection
    In: Workshop Information Retrieval at LWA 2011

  4. ‣M. Stoll, K. Hose, S. Metzger, R. Schenkel
    Interaktive Wissensextraktion und Wissenssuche
    In: Workshop Information Retrieval at LWA 2011 Demo

  5. ‣K. Hose, S. Metzger, R. Schenkel
    Sharing Knowledge between Independent Grid Communities
    In: Workshop on Applications of Semantic Technologies (AST) 2011

  6. ‣K. Hose, R. Schenkel, M. Theobald, G. Weikum
    Database Foundations for Scalable RDF Processing
    In: Reasoning Web, 7th International Summer School 2011, Galway, Ireland, 2011, pp. 202-249

  7. ‣A. Schwarte, P. Haase, K. Hose, R. Schenkel. M. Schmidt
    FedX: A Federation Layer for Distributed Query Processing on Linked Open Data
    In: ESWC 2011, pp. 481-486

  8. ‣J. Umbrich, K. Hose, M. Karnstedt, A. Harth, A. Polleres
    Comparing Data Summaries for Processing Live Queries over Linked Data
    In: World Wide Web Journal, Volume 14, Numbers 5-6, pp. 495-544

  9. ‣S. Metzger, K. Hose, A. Broschart
    Bericht zur Herbstschule Information Retrieval 2010
    In: Datenbank-Spektrum, Volume 11, Number 1, 73-77

  10. ‣D. Klan, M. Karnstedt, K. Hose, L. Ribe-Baumann, K. Sattler
    Stream Engines Meet Wireless Sensor Networks: Cost-Based Planning and Processing of Complex Queries in AnduIN
    In: Distributed and Parallel Databases (DAPD), Volume 29, Issue 1-2 (2011), pp. 151-183


2010

  1. ‣S. Elbassuoni, K. Hose, S. Metzger, R. Schenkel
    ROXXI: Reviving witness dOcuments to eXplore eXtracted Information
    In: Proceedings of the 36th International Conference on Very Large Data Bases (VLDB 2010), Singapore, 2010, pp. 1589-1592

  2. ‣A. Harth, K. Hose, M. Karnstedt, A. Polleres, K. Sattler, and J. Umbrich
    Data Summaries for On-Demand Queries over Linked Data
    In: Proceedings of the 19th World Wide Web Conference (WWW 2010), Raleigh, NC, USA, 2010, pp. 411-420

  3. ‣A. Harth, K. Hose, M. Karnstedt, A. Polleres, K. Sattler, and J. Umbrich
    On Lightweight Data Summaries for Optimised Query Processing over Linked Data
    DERI Technical Report 2009-11-17, 2009

  4. ‣D. Klan, K. Hose, M. Karnstedt, K. Sattler
    Power-Aware Data Analysis in Sensor Networks
    In: Proceedings of the 26th IEEE International Conference on Data Engineering (ICDE 2010), pp. 1125-1128


2009

  1. ‣D. Klan, K. Hose, K. Sattler:
    Developing and Deploying Sensor Network Applications with AnduIN
    6th International Workshop on Data Management for Sensor Networks (DMSN icw. VLDB) 2009.

  2. ‣K. Hose, C. Lemke, K. Sattler:
    Maintenance Strategies for Routing Indexes
    Distributed and Parallel Databases - Data Management in Peer-to-Peer Systems 26(2-3), 2009, pp. 231-259.

  3. ‣F. Gropengießer, K. Hose, K. Sattler:
    An Extended Transaction Model for Cooperative Authoring of XML Data
    Computer Science - Research and Development 24(1-2), 2009, pp. 85-100.

  4. ‣F. Gropengießer, K. Hose, K. Sattler:
    Ein kooperativer XML-Editor für Workgroups
    BTW 2009, Münster, Germany, 2009, pp. 600-603.

  5. ‣K. Hose, D. Klan, K. Sattler:
    Online Tuning of Aggregation Tables for OLAP
    Workshop on Self Managing Database Systems (SMDB'09 icw. ICDE 2009), Shanghai, China, pp. 1679-1686.


2008

  1. ‣K. Hose, J. Quasebarth:
    Umschreiben und Bearbeiten von Anfragen in PDMS
    Datenbankspektrum (26) 2008.

  2. ‣K. Hose, D. Klan, M. Marx, K. Sattler:
    When is it Time to Rethink the Aggregate Configuration of Your OLAP Server?
    VLDB Demonstrations Track, Auckland, New Zealand, Aug. 2008, pp. 1492-1495.

  3. ‣D. Klan, K. Sattler, K. Hose, M. Karnstedt:
    Decentralized Managing of Replication Objects in Massively Distributed Systems
    Workshop on Data Management in Peer-to-peer systems (DaMaP'08 icw. EDBT 2008), Nantes, France, March 2008, pp. 19-26

  4. ‣K. Hose, A. Roth, A. Zeitz, K. Sattler, F. Naumann:
    A Research Agenda for Query Processing in Large-Scale Peer Data Management Systems
    Information Systems Journal 33(7-8), 2008, pp 597-610.


2007

  1. ‣K. Hose, C. Lemke, K. Sattler, D. Zinn
    A Relaxed but not Necessarily Constrained Way from the Top to the Sky,
    CoopIS 2007, Vilamoura, Algarve, Portugal, Nov 28-30, 2007, pp. 399-407.

  2. ‣K. Hose, M. Karnstedt, D. Klan, K. Sattler, J. Quasebarth:
    Incremental Mining for Facility Management
    KDML 2007: Knowledge Discovery, Data Mining, and Machine Learning, Sep 2007, Halle (Saale), Germany, pp. 183-190

  3. ‣K. Hose, J. Quasebarth, K. Sattler:
    Interoperability in Peer Data Management Systems
    VLDB International Workshop on Semantic Data and Service Integration (SDSI), Vienna, Austria, Sep. 2007.

  4. ‣K. Hose, K. Sattler:
    Cooperative Data Management for XML Data
    Dexa 2007, Regensburg, Germany, 2007, pp. 308--318.

  5. ‣K. Hose, C. Lemke, J. Quasebarth, K. Sattler:
    SmurfPDMS: A Platform for Query Processing in Large-Scale PDMS
    BTW 2007 Demonstrations Program, Aachen, Germany, 2007, pp. 621--624.


2006

  1. ‣K. Hose, D. Klan, K. Sattler:
    Distributed Data Summaries for Approximate Query Processing in PDMS
    Tenth International Database Aplications & Engineering Symposium (IDEAS), Delhi, India, 2006, pp. 37-44.

  2. ‣K. Hose, C. Lemke, K. Sattler:
    Processing Relaxed Skylines in PDMS Using Distributed Data Summaries
    ACM Fifteenth Conference on Information and Knowledge Management (CIKM), Arlington, USA, 2006, pp. 425-434.

  3. ‣K. Hose, A. Job, M. Karnstedt, K. Sattler:
    An Extensible, Distributed Simulation Environment for Peer Data Management Systems
    10. International Conference on Extending Database Technology - Demonstration Track, Munich, Germany, 2006, pp. 1198-1202.


2005

  1. ‣K. Hose, M. Karnstedt, A. Koch, K. Sattler, D. Zinn:
    Processing Rank-Aware Queries in P2P Systems
    Third International Workshop on Databases, Information Systems and Peer-to-Peer Computing (DBISP2P 2005), Trondheim, 2005, pp. 238-249.

  2. ‣K. Hose:
    Processing Skyline Queries in P2P Systems
    VLDB 2005 PhD Workshop, Trondheim, 2005, pp. 36-40.

  3. ‣K. Hose, M. Karnstedt, K. Sattler, D. Zinn:
    Processing Top-N Queries in P2P-based Web Integration Systems with Probabilistic Guarantees
    Eighth International Workshop on the Web and Databases (WebDB 2005), co-located with SIGMOD 2005, Baltimore, June 2005, pp. 109-114.

  4. ‣K. Hose, M. Karnstedt, K. Sattler, E.-A. Stehr:
    Adaptive Routing Filters for Robust Query Processing in Schema-Based P2P Systems
    Proceedings of IDEAS'05, Montreal, 2005, pp. 223--228.

  5. ‣K. Hose:
    Top-N Anfrageverarbeitung in PDMS: Anforderungen und Lösungswege
    In: S.Brass and C. Goldberg (Eds.): 17th GI-Workshop on the Foundations of Databases (GVD05), Mai 2005, Wörlitz, Germany, pp. 53-57.

  6. ‣K. Hose:
    Eine inkrementelle Anfragestrategie zur dynamischen und robusten Anfrageverarbeitung in schemabasierten P2P-Systemen
    In: BTW 2005 Studierendenprogramm, Karlsruhe, Germany, 2005.


2004

  1. ‣M. Karnstedt, K. Hose, K. Sattler:
    Query Routing and Processing in Schema-Based P2P Systems
    In: 1. Int. Workshop Grid and Peer-to-Peer Computing Impacts on Large Scale Heterogeneous DB Systems (GLOBE'04), 2004, Zaragoza, Spain, pp. 544-548.

  2. ‣M. Karnstedt, K. Hose, K. Sattler:
    Distributed Query Processing in P2P Systems with incomplete schema information
    In: 3. Int. Workshop on Data Integration over the Web (DIWeb2004), 2004, Riga, Latvia, pp. 34-45.