Workshop on Ontology & Rich Semantics (RICH 2019)
Workshop programme is available here. Register for Workshop here. |
Workshop on Ontology and Rich Semantics (RICH 2019): Exploiting Structured Knowledge Graphs
Pre-conference workshop of A-LIEP/ICADL 2019 conferences in Kuala Lumpur, Malaysia (https://fim.uitm.edu.my/conf2019/)
- Date of event: Monday, 4 Nov 2019, 2pm-5pm
- Venue: TTDI (Taman Tun Dr Ismail) Library, Jalan Athinahapan TTDI, 60000 Kuala Lumpur, Malaysia
- Location on Google Maps
- Organisers: Dr Chris Khoo & Dr Robert B Allen
- Target audience: academics, researchers, graduate students, librarians and knowledge organization professionals–who are doing research and professional work related to knowledge organization, ontology and metadata.
- Deadline for presentation proposals: over, but we can still accept 1 or 2 presentation
- Workshop registration fee:
- Free for participants who are registered for A-LIEP/ICADL 2019 Conference (but Workshop registration is still needed for planning)
- For students who are not registered for the conference: USD100 (international participants), RM200 (local participants)
- For professionals & academics not registered for the conference: USD120 (international participants), RM250 (local participants)
- Registration fee for participants not registered for A-LIEP/ICADL 2019 are to be paid onsite at the Workshop venue. The workshop registration fee covers both morning workshop and afternoon workshop:
- morning workshop: MAGIC – Manga, Anime, and Video Game Information Commons
- afternoon workshop:
— RICH – Ontology & Rich Semantics (this workshop), OR
— CADE – Cultural Assets in Digital Environment
See conference schedule.
As places are limited to 30 participants, prior workshop registration is required. Online registration will open on 7 Oct. A link to the registration form will be available here.
Description
Explicit rich representations of domain knowledge, models, processes, historical development, and argumentation are important to support e-science, e-social science and digital humanities research. Ontologies define concept hierarchies and identify important types of relations between concepts as well as entities of interest. However, to support e-research as well as real applications, ontologies need to build on metadata and linked data to cover representation of complex structures and systems, dynamic models and processes, flow of temporal events, as well as discourse structure, evolution of knowledge, argumentation and information across types of documents and media.
This workshop will explore frameworks for ontological representation with rich semantics, and applications in diverse knowledge domains such as biology and medicine, humanities and art, law, systems analysis and design, clinical decision support systems, etc.
The Workshop is open to academics, researchers, graduate students, librarians and knowledge organization professionals who are doing research and professional work related to knowledge organization, metadata, linked data, ontology, and more complex approaches.
This Workshop follows three previous successful Workshops (http://richsemantics.org/):
- RICH 2016 Tsukuba: Rich Semantics and Direct Representation for Digital Collections, Workshop at 2016 Asian Digital Library Conference, Dec 9, 2016
- RICH 2017 Toronto: Workshop at JCDL 2017 (ACM/IEEE Joint Digital Library Conference), June 22, 2017
- RICH 2018 Singapore: Workshop on Ontology and Rich Semantics: Frameworks and Applications, Nov 26, 2018 (https://blogs.ntu.edu.sg/chriskhoo/ontology-rich-semantics/)
Workshop outline:
- Introduction to ontology and rich semantics
Chris Khoo, Nanyang Technological University, Singapore - Keynote 1: Computational models for rich semantic systems
Robert B Allen, Richsemantics.org, USA - Keynote 2: Art & Architecture Thesaurus (AAT) extensions for cultural-specific concepts: Issues, methods and applications
Sophy Shu-Jiun Chen, Academia Sinica Digital Center, Taiwan - Several presentations of completed or ongoing projects.
Call for Proposals
The submission deadline over, but we can still accept 1 or 2 presentations
Presentations of completed or ongoing research/project in ontology and rich semantics applications in a particular subject or application area are invited.
Authors of accepted presentations will be invited to submit a short paper (of 6-10 pages) for publication in a special issue of LIBRES e-journal (https://www.libres-ejournal.info/), after a round of review and revision.
Presentation proposal submission deadline: over.
Please submit to both Chris Khoo (chriskhoo@pmail.ntu.edu.sg) and Bob Allen (rba@boballen.info):
• Title
• Abstract of 300-500 words
• Author(s) and institutional affiliation
• Email address
• Type: completed research / ongoing research
• Keywords, including subject/application area
Workshop on Ontology and Rich Semantics (RICH 2019): Exploiting Structured Knowledge Graphs
PROGRAMME
Date of event: Monday, 4 Nov 2019, 2pm – 5pm
Venue: TTDI (Taman Tun Dr Ismail) Library, Jalan Athinahapan TTDI, 60000 Kuala Lumpur, Malaysia
Location on Google Maps
Organisers: Dr Chris Khoo & Dr Robert B Allen
Contact: please email queries to chriskhoo@pmail.ntu.edu.sg, with the subject: RICH2019
Register for the Workshop here.
2:00pm-2:30pm: Session 1 – Overview |
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Introduction to ontology and rich semantics |
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2:30am-3:10pm: Session 2 – Keynote 1 |
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Art & Architecture Thesaurus (AAT) extensions for cultural-specific concepts: Issues, methods and applications |
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3:10pm-3:30pm: Tea break | |
3:30pm-4:15pm: Session 3 – Papers | |
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4:15pm-5:00pm: Session 4 – Keynote 2 | |
Computational models for rich semantic systems |
ABSTRACTS
2:00pm-2:30pm: Session 1 – Overview | |
Introduction to ontology and rich semantics |
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2:30am-3:10pm: Session 2 – Keynote 1 | |
Art & Architecture Thesaurus (AAT) extensions for cultural-specific concepts: Issues, methods and applications Abstract. Forthcoming. |
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3:10pm-3:30pm: Tea break | |
3:30pm-4:15pm: Session 3 – Papers | |
Ontology-based big data analysis for RUTS orchids smart farming Abstract. Thailand is recognized as the world’s largest producer and exporter of tropical orchids. Precision agriculture or smart farming is rapidly gaining importance in modern orchid farming in Thailand. Smart farming emphasizes the use of sensing and communication technologies in the cyber-physical farm management cycle. New technologies such as the Internet of Things and Cloud Computing are expected to leverage this development and introduce more robots and artificial intelligence in farming. The study aims to develop an ontology to support big data analysis for smart farming in the RUTS Nakhon Si Thammarat campus. The domain ontology includes 11 main concepts of smart farming, including Orchids, Sensor, Measurement, ObjectType, Object, Day, DayofWeek, Result and Record_Result. The Measurement class has properties Measure_ID, Measure_Day, Measure_Sensor, Temperature_Value, Humidity_Value, Lighting_Value, SoilMoisture_Value and Suggest_Results.. An entity and event relationship model for supporting complex knowledge organization and knowledge discovery Abstract. Scholarly documents often contain knowledge about who did what to whom under what conditions (such as time, place, and method), which can be expressed as relations between entities and events under certain conditions. Common knowledge organization models, including concept maps, topic maps, classification schemes, thesauri, and ontologies, have limited power in expressing the relationships between events. I propose an entity and event relationship model, which not only represents events (composed of entities, their relations, and other participants) but also represents relationship between events. This is useful for representing knowledge of complex systems (such as economic systems and medical systems) which are often composed of a series of events. Sentences which are extracted from scientific journal articles will be used to demonstrate the power of the model to represent complex knowledge to facilitate complex knowledge organization and knowledge discovery. |
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4:15pm-5:00pm: Session 4 – Keynote 2 | |
Computational models for rich semantic systems Abstract. Forthcoming. |