Resources
As a reference and a source of topics I recommend Handbook on Ontologies 2nd edition, edited by Staab and Studer, Springer, 2009. Handbook on Ontologies, 2nd ed., is available through Springer Link. The paper copy in the library is of the 1st edition.
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Preliminary list of papers/topics
Knowledge bases
- F. Suchanek et al: Yago - A Core of Semantic Knowledge, WWW 2007.
- J. Hoffart et al: YAGO2: A spatially and temporally enhanced knowledge base from Wikipedia, AI Journal, January 2013.
- Silvia Calegari, Gabriella Pasi:
Personal ontologies: Generation of user profiles based on the YAGO ontology. Inf. Process. Manage. 49(3): 640-658 (2013)
- Christian Bizer, Jens Lehmann, Georgi Kobilarov, Sören Auer, Christian Becker, Richard Cyganiak, Sebastian Hellmann:
DBpedia - A crystallization point for the Web of Data. J. Web Sem. 7(3): 154-165 (2009).
- Denny Vrandecic, Markus Krötzsch:
Wikidata: a free collaborative knowledgebase. Commun. ACM 57(10): 78-85 (2014)
- Michael Färber, Frederic Bartscherer, Carsten Menne, Achim Rettinger:
Linked data quality of DBpedia, Freebase, OpenCyc, Wikidata, and YAGO. Semantic Web 9(1): 77-129 (2018)
- Hannah Bast, Elmar Haussmann:
More Accurate Question Answering on Freebase. CIKM 2015: 1431-1440
Knowledge harvesting and learning
- Gerhard Weikum, Johannes Hoffart, Fabian M. Suchanek:
Ten Years of Knowledge Harvesting: Lessons and Challenges. IEEE Data Eng. Bull. 39(3): 41-50 (2016)
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Wen Hua, Zhongyuan Wang, Haixun Wang, Kai Zheng, Xiaofang Zhou:
Understand Short Texts by Harvesting and Analyzing Semantic Knowledge. IEEE Trans. Knowl. Data Eng. 29(3): 499-512 (2017)
- Tom M. Mitchell et al:
Never-ending learning. Commun. ACM 61(5): 103-115 (2018)
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Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya, Gerhard Weikum:
Never-Ending Learning for Open-Domain Question Answering over Knowledge Bases. WWW 2018: 1053-1062
Question answering
- Abdalghani Abujabal, Mohamed Yahya, Mirek Riedewald, Gerhard Weikum:
Automated Template Generation for Question Answering over Knowledge Graphs. WWW 2017: 1191-1200
- Sen Hu, Lei Zou, Jeffrey Xu Yu, Haixun Wang, Dongyan Zhao:
Answering Natural Language Questions by Subgraph Matching over Knowledge Graphs. IEEE Trans. Knowl. Data Eng. 30(5): 824-837 (2018)
- Zhe Wang, Mahsa Chitsaz, Kewen Wang, Jianfeng Du:
Towards Scalable and Complete Query Explanation with OWL 2 EL Ontologies. CIKM 2015: 743-752
Knowledgebase construction
- Laura Chiticariu, Rajasekar Krishnamurthy, Yunyao Li, Sriram Raghavan, Frederick Reiss, Shivakumar Vaithyanathan:
SystemT: An Algebraic Approach to Declarative Information Extraction. ACL 2010: 128-137
- Dat Ba Nguyen, Abdalghani Abujabal, Khanh Tran, Martin Theobald, Gerhard Weikum:
Query-Driven On-The-Fly Knowledge Base Construction. PVLDB 11(1): 66-79 (2017)
- Mohamed H. Gad-Elrab, Daria Stepanova, Jacopo Urbani, Gerhard Weikum:
Exception-Enriched Rule Learning from Knowledge Graphs. International Semantic Web Conference (1) 2016: 234-251
Reasoning systems
- Luigi Bellomarini, Emanuel Sallinger, Georg Gottlob:
The Vadalog System: Datalog-based Reasoning for Knowledge Graphs. PVLDB 11(9): 975-987 (2018)
- Jacopo Urbani, Ceriel J. H. Jacobs, Markus Krötzsch:
Column-Oriented Datalog Materialization for Large Knowledge Graphs. AAAI 2016: 258-264
- M. Kifer. Rule Interchange Format: The Framework. RR, 2008.
IBM WATSON
- Murthy V. Devarakonda, Ching-Huei Tsou:
Automated Problem List Generation from Electronic Medical Records in IBM Watson. AAAI 2015: 3942-3947
Ontologies and Semantic Web
- Sergi Nadal, Oscar Romero, Alberto Abelló, Panos Vassiliadis, Stijn Vansummeren:
An integration-oriented ontology to govern evolution in Big Data ecosystems. Inf. Syst. 79: 3-19 (2019)
- Niel Chah:
OK Google, What Is Your Ontology? Or: Exploring Freebase Classification to Understand Google's Knowledge Graph. CoRR abs/1805.03885 (2018)
Applications
- Alexander C. Yu: Methods in Biomedical Ontology.
Journal of Biomedical Informatics 29, 2006.
- Ryan R Brinkman et al:
Modeling biomedical experimental processes
with OBI. Bio-Ontologies 2009: Knowledge in Biology.
- John A. Bateman, Joana Hois, Robert J. Ross, Thora Tenbrink:
A linguistic ontology of space for natural language processing. Artif. Intell. 174(14): 1027-1071 (2010)
- Federica Paganelli, Dino Giuli:
An Ontology-Based System for Context-Aware and Configurable Services to Support Home-Based Continuous Care. IEEE Trans. Information Technology in Biomedicine 15(2): 324-333 (2011)
- Koubarakis et al.:
Building Virtual Earth Observatories Using
Ontologies, Linked Geospatial Data
and Knowledge Discovery Algorithms. OTM 2012.
- Bettina Fazzinga et al.:
Semantic Web search based on ontological conjunctive queries. Journal of Web Semantics, 2011.
- Cuenca Grau et al.:
Ontology Evolution Under Semantic Constraints. KR 2012.
- Wentao Wu, Hongsong Li, Haixun Wang, Kenny Qili Zhu:
Probase: a probabilistic taxonomy for text understanding. SIGMOD Conference 2012: 481-492
- Jiaqing Liang, Yanghua Xiao, Haixun Wang, Yi Zhang, Wei Wang:
Probase+: Inferring Missing Links in Conceptual Taxonomies. IEEE Trans. Knowl. Data Eng. 29(6): 1281-1295 (2017)
Other topics:
- SNOMED CT
- Gene Ontology (GO)
- CYC
- WordNet
Workload
- Form two-person teams.
- Choose the topic of your presentation.
- Choose paper(s) that your team will cover. The general rule is:
cover one long paper (typically from a journal), or cover two shorter papers
(typically from a conference).
- Prepare a draft of your talk (Powerpoint) and discuss it with me.
- Present the talk in class.
- Prepare the report on your topic.
- Attend all the classes and participate in the discussions.
There may also be presentations by the instructor
and/or invited speakers.
Prerequisites
Some knowledge of logic or knowledge representation is helpful.
Some topics may require a familiarity with basic Machine Learning techniques.
Grading
The seminar is graded S/U and can be taken for 3 credits.
An implementation project is a possibility: see the instructor.