Thoughts on the complex relation between linked data, semantic annotations, and ontologies

Janowicz, Krzysztof; Hitzler, Pascal

doi:10.1145/2513204.2513218

Cited by 7 publications

(9 citation statements)

References 7 publications

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“…In addition, Janowicz and Hitzler posed the question "where is the sweet spot for ontologies that go beyond surface semantics?" [24] after reflecting on the relation between linked data, semantic annotations and ontologies. They added that the question has no simple answer.…”

Section: Related Workmentioning

confidence: 99%

A Snapshot of Ontology Evaluation Criteria and Strategies

Degbelo

2017

Proceedings of the 13th International Conference on Semantic Systems

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Ontologies are key to information retrieval, semantic integration of datasets, and semantic similarity analyses. Evaluating ontologies (especially defining what constitutes a "good" or "better" ontology) is therefore of central importance for the Semantic Web community. Various criteria have been introduced in the literature to evaluate ontologies, and this article classifies them according to their relevance to the design or the implementation phase of ontology development. In addition, the article compiles strategies for ontology evaluation based on ontologies published until 2017 in two outlets: the Semantic Web Journal, and the Journal of Web Semantics. Gaps and opportunities for future research on ontology evaluation are exposed towards the end of the paper. CCS CONCEPTS • Computing methodologies → Ontology engineering; • Information systems → World Wide Web;

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Section: Related Workmentioning

confidence: 99%

A Snapshot of Ontology Evaluation Criteria and Strategies

Degbelo

2017

Proceedings of the 13th International Conference on Semantic Systems

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“…Each blue arrow goes from the domain of the corresponding object property towards its range. Axioms (1)-(4) are domain restrictions for each of the four object properties in the pattern, whereas (5)- (8) are the corresponding range restrictions. Note that the aforementioned domain and range restrictions are given as guarded restrictions, which are preferrable to the unguarded versions (i.e., of the form dom(P ) A and range(P ) B) because they enforce weaker ontological commitments and thereby foster wider reuse.…”

Section: Descriptionmentioning

confidence: 99%

“…The pattern proposed here differs from previous efforts in that it is domain-agnostic and focuses on modeling the common core necessary to reason about the physical transformation of matter. Further, we present a full axiomatization that goes beyond mere surface semantics (e.g., in contrast to a mere subsumption hierarchy) [8]. It should be noted that the Reactive Process pattern, also on the ODP website 2 , seems to have the same topic as the one addressed in this paper, in that it seeks to represent "reactive processes that consume inputs and produce outputs under specific environmental conditions and on being triggered by certain events."…”

Section: Introductionmentioning

confidence: 99%

An Ontology Design Pattern and its use case for modeling material transformation

Vardeman

Krisnadhi

Cheatham

et al. 2017

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In this work we introduce a content Ontology Design Pattern (ODP) to model and reason about material transformations, a concept that occurs in many different domains ranging from computational chemistry, biology, and industrial ecology to architecture. We model the relationships between inputs, outputs, and catalysts in the transformation process as well as the spatial and temporal constraints necessary for a transformation to occur. Both a graphical illustration and a formal axiomatization are provided, and the commonalities and differences to similar ontologies and patterns are discussed. Usage of the pattern is illustrated by applying it to an intuitive and familiar example and by discussing how the pattern is able to address a set of competency questions. Additionally, we present a detailed use case from the domain of sustainable construction that leverages the material transformation pattern in combination with the already-existing semantic trajectory ontology design pattern.

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“…Janowicz and Hitzler [11] is a position paper on how linked data and semantic annotation changes the interaction from the user's point of view, and tries to disentangle some of the complexities focusing on geo-search. There is a persuasive argument for the implications for building systems consistent with these views.…”

Section: Accepted Papersmentioning

confidence: 99%

Report on the sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13)

et al. 2014

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There is an increasing amount of structure on the web as a result of modern web languages, user tagging and annotation, emerging robust NLP tools, and an ever growing volume of linked data. These meaningful, semantic, annotations hold the promise to significantly enhance information access, by enhancing the depth of analysis of today's systems. Currently, we have only started exploring the possibilities and only begin to understand how these valuable semantic cues can be put to fruitful use. ESAIR'13 focuses on two of the most challenging aspects to address in the coming years. First, there is a need to include the currently emerging knowledge resources (such as DBpedia, Freebase) as underlying semantic model giving access to an unprecedented scope and detail of factual information. Second, there is a need to include annotations beyond the topical dimension (think of sentiment, reading level, prerequisite level, etc) that contain vital cues for matching the specific needs and profile of the searcher at hand. There was a strong feeling that we made substantial progress. Specifically, the discussion contributed to our understanding of the way forward. First, emerging large scale knowledge bases form a crucial component for semantic search, providing a unified framework with zillions of entities and relations. Second, in addition to low level factual annotation, non-topical annotation of larger chunks of text can provide powerful cues on the expertise of the search and (un)suitability of information. Third, novel user interfaces are key to unleash powerful structured querying enabled by semantic annotation-the potential of rich document annotations can only be realized if matched by more articulate queries exploiting these powerful retrieval cues-and a more dynamic approach is emerging by exploiting new forms of query autosuggest.

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Thoughts on the complex relation between linked data, semantic annotations, and ontologies

Cited by 7 publications

References 7 publications

A Snapshot of Ontology Evaluation Criteria and Strategies

A Snapshot of Ontology Evaluation Criteria and Strategies

An Ontology Design Pattern and its use case for modeling material transformation

Report on the sixth workshop on exploiting semantic annotations in information retrieval (ESAIR'13)

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