Automatically Constructing Semantic Web Services from Online Sources

Ambite, José Luis; Darbha, Sirish; Goel, Aman; Knoblock, Craig A.; Lerman, Kristina; Parundekar, Rahul; Russ, Thomas A.

doi:10.1007/978-3-642-04930-9_2

Cited by 21 publications

(17 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…2 For the Date, ISBN, Phone types, the distance function simply returns 0 if the two elements are equal, 1 if otherwise. For numeric types, the computation is more involved, as fT (·, ·) measures the ratio of objects that differ more than a predetermined relative threshold ρ.…”

Section: A Type-aware Distance Functionmentioning

confidence: 99%

See 1 more Smart Citation

Extraction and integration of partially overlapping web sources

et al. 2013

View full text Add to dashboard Cite

We present an unsupervised approach for harvesting the data exposed by a set of structured and partially overlapping data-intensive web sources. Our proposal comes within a formal framework tackling two problems: the data extraction problem, to generate extraction rules based on the input websites, and the data integration problem, to integrate the extracted data in a unified schema. We introduce an original algorithm, WEIR, to solve the stated problems and formally prove its correctness. WEIR leverages the overlapping data among sources to make better decisions both in the data extraction (by pruning rules that do not lead to redundant information) and in the data integration (by reflecting local properties of a source over the mediated schema). Along the way, we characterize the amount of redundancy needed by our algorithm to produce a solution, and present experimental results to show the benefits of our approach with respect to existing solutions.

show abstract

Section: A Type-aware Distance Functionmentioning

confidence: 99%

“…DEIMOS [2] is an end-to-end system that, given a seed website and some background knowledge of the domain, discovers related websites and builds semantic web services from them. The system relies on different techniques due to the goal of dealing with services instead of sources as in our case.…”

Section: Related Workmentioning

confidence: 99%

Extraction and integration of partially overlapping web sources

et al. 2013

View full text Add to dashboard Cite

show abstract

“…Our work can be considered as an extension of the work presented in [13,14], in which the development of domain-independent approaches to semantically label Web services is described. The authors propose to automatically learn the semantics of information sources labelling the input and output parameters used by the source with semantic types of the user's domain model.…”

Section: Related Workmentioning

confidence: 99%

Semantic Annotation of RESTful Services Using External Resources

Saquicela¹,

Vilches‐Blázquez²,

Corcho³

2010

Current Trends in Web Engineering

View full text Add to dashboard Cite

Abstract. Since the advent of Web 2.0, RESTful services have become an increasing phenomenon. Currently, Semantic Web technologies are being integrated into Web 2.0 services for both to leverage each other strengths. The need to take advantage of data available in RESTful services in the scope of Semantic Web evidences the difficulties to cope with syntactic and semantic description of the services.In this paper we present an approach to tackle the problem of automatic the semantic annotation of RESTful services using a cross-domain ontology, a semantic resource (DBpedia) and additional external resources (suggestion and synonyms services) to annotate the parameters of the RESTful services. We also present a preliminary evaluation that proves the feasibility of our approach and highlights that it is possible to carry out this semantic annotation with satisfactory results.

show abstract

“…Existing Web infrastructures support the publication and access to a tremendous amount of Web data sources, some of which can be labeled and converted into Semantic Web Services by using existing annotation tools like the one proposed by Ambite et al [3]. Once a large dataset of Semantic Web Services become available, users require techniques to effectively select the services that meet their requirements.…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we use the recent approach of Ambite et al [3] that describes services as views on the generic concepts of the ontology following the Local-As-View (LAV) approach that is widely used in integration systems [21], instead of the traditional Global-As-View (GAV) approach where the generic concepts are expressed in terms of the services. The adoption of the LAV approach instead of GAV is not accidental.…”

mentioning

confidence: 99%

An Expressive and Efficient Solution to the Service Selection Problem

Izquierdo

Vidal

Bonet

2010

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. Given the large number of Semantic Web Services that can be created from online sources by using existing annotation tools, expressive formalisms and efficient and scalable approaches to solve the service selection problem are required to make these services widely available to the users. In this paper, we propose a framework that is grounded on logic and the Local-As-View approach for representing instances of the service selection problem. In our approach, Web services are semantically described using LAV mappings in terms of generic concepts from an ontology, user requests correspond to conjunctive queries on the generic concepts and, in addition, the user may specify a set of preferences that are used to rank the possible solutions to the given request. The LAV formulation allows us to cast the service selection problem as a query rewriting problem that must consider the relationships among the concepts in the ontology and the ranks induced by the preferences. Then, building on related work, we devise an encoding of the resulting query rewriting problem as a logical theory whose models are in correspondence with the solutions of the user request, and in presence of preferences, whose best models are in correspondence with the best-ranked solutions. Thus, by exploiting known properties of modern SAT solvers, we provide an efficient and scalable solution to the service selection problem. The approach provides the basis to represent a large number of real-world situations and interesting user requests.

show abstract

Automatically Constructing Semantic Web Services from Online Sources

Cited by 21 publications

References 18 publications

Extraction and integration of partially overlapping web sources

Extraction and integration of partially overlapping web sources

Semantic Annotation of RESTful Services Using External Resources

An Expressive and Efficient Solution to the Service Selection Problem

Contact Info

Product

Resources

About