ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume...
Transcript of ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume...
![Page 1: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/1.jpg)
Context-‐aware Business Intelligence
Rafael Berlanga Victoria Nebot
Temporal Knowledge Bases Group Universitat Jaume I de Castellón
06/07/15 FiHh European Business Intelligence Summer School -‐ eBISS 2015 1
![Page 2: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/2.jpg)
Overall Summary
06/07/15 2
• 1st PART – DefiniTons and Concepts – Review of context-‐aware BI – Future work
• 2nd PART – Use Case and Demos
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 3: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/3.jpg)
DEFINITIONS AND CONCEPTS
Context-‐aware Business Intelligence
06/07/15 3 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 4: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/4.jpg)
Business Intelligence
• BI is “the process of collec%ng business data and turning it into informa4on that is meaningful and ac%onable towards a strategic goal”
• BI technology “aims at gathering, transforming and summarizing available business data from available sources to generate analy%cal informa%on suitable for decision-‐making tasks”
06/07/15 4 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 5: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/5.jpg)
Context-‐awareness BI
• The context of a BI system comprises all external events and facts that could affect somehow the business indicators.
• Proper monitoring of the external context provide direct acTonable informaTon: – Early detecTon of potenTal threats: reputaTon a]acks, fraud detecTon, unfavourable law changes, cyber-‐a]acks, etc.
– IdenTficaTon of new business opportuni9es: favourable law changes, new marked trends, etc.
06/07/15 5 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 6: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/6.jpg)
Context-‐aware BI
06/07/15 6
Monitoring Exploring PredicTng
Business indicator External event
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 7: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/7.jpg)
Context Layers for BI
Voice of the Customer e-‐mails, e-‐commerce, etc.
Voice of the Market (VoM) trends, opinions, offers, promoTons, etc.
Corporate Context
Global environment news, legislaTon, etc.
06/07/15 7
ConvenTonal DW/OLAP lives here!
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 8: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/8.jpg)
Capturing acTonable data
Voice of the Customer e-‐mails, e-‐commerce, etc.
Voice of the Market trends, opinions, offers, promoTons, etc.
Corporate Context
Global environment news, economic indicators, etc.
06/07/15 8 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 9: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/9.jpg)
Context (Web) Sources
Voice of the Customer
Voice of the Market
Corporate Context
Global environment
NEWS FEEDS
SOCIAL NETWORKS
E-MAILS BLOGS
SEARCH ENGINES
06/07/15 9 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 10: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/10.jpg)
Context objects
• Context events/facts are: – expressed as text-‐rich data, – spaTo-‐temporal located, – usually typified (e.g., topics), – mulT-‐dimensional, – mulT-‐granularity, – usually incomplete and imprecise.
• ... but not well-‐suited to convenTonal OLAP.
locaTon Tme
company
Flood disaster event
locaTon Tme
product opinion
damage
Product opinion fact
06/07/15 10 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 11: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/11.jpg)
2-‐level context correlaTons
A
B
External context (e.g., documents)
Corporate BI context (e.g., Domain, goals, facts,
metadata)
06/07/15 11
A: contexts correlaTon measures relevance of external w.r.t internal contexts.
B: mulTdimensional object correlaTon è classical data integraTon problem.
The cars movie is great!
Great car engine!!
Rent-‐a-‐car domain Opinions
✔
✗
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 12: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/12.jpg)
Techniques
06/07/15 12
Textual Context
Context object
Training Data
InformaTon ExtracTon Seman9c Annota9on
InformaTon Retrieval ClassificaTon Text Mining
Data IntegraTon
BI context
BI object
Corp. BI system
Data Quality Measures should be defined in all components!! Precision, Recall, F1-‐measure, etc.
Record linkage/Schema matching …
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 13: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/13.jpg)
Social Context
….
….
….
….
….
Social commerce Listening to the VoM: • global VoM opinion? • best/worst scored aspects? • customer needs? • current trends? • viral informaTon? • … and so on. item
opinions
conversaTon
06/07/15 13 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 14: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/14.jpg)
Social & SenTment Analysis
SubjecTve corpora Opinion Mining
Sen9ment Lexicons PosiTve expressions NegaTve expressions Word polarity SenTment representaTon
+/-‐
06/07/15 14 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 15: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/15.jpg)
Social & SenTment Analysis
SubjecTve corpora Opinion Mining
Sen9ment Lexicons PosiTve expressions NegaTve expressions Word polarity SenTment representaTon
SenTment Analysis
…. ….
….
Sen9ment Data
(item, +/-‐) (item, aspect, +/-‐) (item, item, comp) (item, item, aspect, comp)
Reputa9on
+/-‐
06/07/15 15
![Page 16: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/16.jpg)
Social & SenTment Analysis
SubjecTve corpora Opinion Mining
Sen9ment Lexicons PosiTve expressions NegaTve expressions Word polarity SenTment representaTon
SenTment Analysis
…. ….
….
Sen9ment Data
(item, +/-‐) (item, aspect, +/-‐) (item, item, comp) (item, item, aspect, comp)
Social Analysis
Social Data User influence Topic sub-‐graphs Popularity predicTon …
e-‐Marke9ng
Reputa9on
Feature ExtracTo
n
+/-‐
06/07/15 16 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 17: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/17.jpg)
CONTEXT-AWARE BI SYSTEMS
Approaches to
06/07/15 17 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 18: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/18.jpg)
ConvenTonal DW/OLAP
06/07/15 18
Data Warehouse
Q ETL
M
D1 D2
D4 D3 Facts
MulTdimensional model
OLAP tools Corporate data
MDX
Concealed data
Cube
Report SQL
Data Mining
Numerical aggregaTon via funcTonal dependencies.
FiWh European Business Intelligence Summer School -‐ eBISS 2015
Data Provisioning Data Modelling Querying
![Page 19: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/19.jpg)
Internal Data vs. External Data
INTERNAL DATA
• Slow changes • Mainly relaTonal data • High quality data • Complete informaTon • Historical
EXTERNAL DATA
• Highly dynamic • Un-‐ Semi-‐structured • Low quality data • Incomplete informaTon • Up-‐to-‐date (fresh)
06/07/15 19
HARD CONFLUENCE!!!
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 20: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/20.jpg)
On-‐demand BI Proposals
06/07/15 20
ETQ: Extract, Transform & Query
OLAP tools Corporate data
Data Warehouse
Q ETL
MDX
Concealed data
SQL
External data
Cube
Report
Data Mining
USER REQUEST
On-‐demand BI Exploratory BI Fusion Cubes …
Concealed data
AnalyTcal Query
FiWh European Business Intelligence Summer School -‐ eBISS 2015
Data Provisioning Data Modelling Querying
![Page 21: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/21.jpg)
EROCS/LIPTUS2006-‐2008
Corp. DW
IBM Alpha Cubes
06/07/15 21
E-‐mails
ETL
SenTment Analysis
N.E.R. AnnotaTon
Link Table
Goal: Find the DW fact that best matches the context (e-‐mails). § Customer e-‐mails refer to complain/saTsfacTon opinions (business context). § Document-‐fact relaTonship is considered 1:1. § The extracTon method uses N.E.R and TF*IDF for context relevance. § To find the best annotaTon (fact) for a context is computaTonal expensive.
Context Layers
Doc ref. Fact ref. Measures
TXT
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 22: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/22.jpg)
R-‐cubes2008
Doc. DW
Corp. DW
R-‐Cube
IR Query (Q)
06/07/15 22
News N.E.R.
AnnotaTon
ETL
Contextualized Facts
Context Layers
Goal: Contextualize corporate facts with news. § Many-‐to-‐many document-‐fact relaTonships. § External contexts retrieved with IR Relevance Models (user guided). § Data integraTon relies on N.E.R. and semanTc annotaTon (dimension values) § Sound OLAP support for external data: (R)elevance and context dimensions.
Fact R ctxt
P( fact | RQ ) = P( fact | d)P(d |Q)d∈RQ
∑
XML
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 23: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/23.jpg)
Contracts (stream)
News (stream)
06/07/15 23
SIE-‐OBI2010
InformaTon ExtracTon
ClassificaTon (relevant?) InformaTon ExtracTon
CorrelaTons
Context Layers
Goal: Find mulTdimensional correlaTons between contracts and news. § Many-‐to-‐many document-‐fact relaTonships. § Internal DW corporate DW is not considered. § Relevance of news context is performed with classifiers. § Data integraTon relies on a neighbourhood distance over the shared MD space (HNT -‐ Hierarchical Neighbourhood Trees).
TXT
TXT
HNT Dim. A
Dim. B
C
C
N
N
N
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 24: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/24.jpg)
Opinion Cubes2011
Opinion Cube
Product reviews (stream)
SenTment DW
Corp. DW Corp.
Cube
SenTment Analysis
SemanTc AnnotaTon
Product Time LocaTon
ETL
Context Layers
Goal: Correlate product opinions (VoM) with corporate analyses. § Tailored semanTc annotaTon (using DW metadata & Wikipedia categories). § Context relevance determined by the senTment analysis component. § CorrelaTons are analyzed by joining corporate and opinion cubes.
06/07/15 24
Wikipedia
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 25: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/25.jpg)
LimitaTons
• Only one external source at Tme. • No approach covers all context layers. • Data provisioning implies a high cost. • No flexibility for adapTng to source changes. • Scalability issues are not regarded. • Stream data are processed in batch mode. • It is assumed a direct match between external and business objects (not always true).
• Data quality issues poorly treated.
06/07/15 25 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 26: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/26.jpg)
BI systems categorizaTon
06/07/15 26 FiWh European Business Intelligence Summer School -‐ eBISS 2015
[Abelló et al. 2015]
![Page 27: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/27.jpg)
BI systems categorizaTon
06/07/15 27 FiWh European Business Intelligence Summer School -‐ eBISS 2015
Modern BI approaches are placed at the outermost points of the categoriza4on map.
Conven4onal DW/OLAP is placed at the centre of the map.
![Page 28: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/28.jpg)
ETQ-‐like approaches
06/07/15 28 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 29: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/29.jpg)
BI & Web of Data • Linked Open Data (LOD) infrastructures – Publish and share datasets following web rules. – LOD offers standard data formats, as well as several tools to store, query and manage datasets.
• LOD provides widely-‐accepted vocabularies: – Schema.org (e-‐commerce micro-‐data) – (qb) RDF data cube (summarized data)
• LOD enables BI systems: – to automa9ze data provisioning and modelling – to normalize context objects – to seman9cally enrich context objects (exploratory)
06/07/15 29 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 30: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/30.jpg)
Web of Data & BI
Voice of the Customer e-‐mails, e-‐commerce, etc.
Voice of the Market trends, opinions, offers, promoTons, etc.
Corporate Data
Global environment news, economic factors, etc.
06/07/15 30 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 31: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/31.jpg)
RevisiTng opinion cubes: SLOD-‐BI2015
Opinion facts
Items Facets
Sentiment data
Post facts
Social facts
Homogeneous, coupled and well-‐controlled datasets.
Extract, Transform & Link
….
….
….
….
….
item
SenTment Lexicons
+/-‐
06/07/15 31 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 32: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/32.jpg)
SLOD-‐BI as linked datasets
Opinion facts
Items Facets
Sentiment data
Post facts
Social facts
SenticNet
SentiWordnet
Schema.org
GoodRelations
BabelNet DBPedia
ProductDB
marl
eCl@ss
ConceptNet
BestBuy
06/07/15 32
Micro-‐data
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 33: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/33.jpg)
BI & LOD infrastructures
06/07/15 33 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 34: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/34.jpg)
Next steps?
06/07/15 34
?
?
FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 35: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/35.jpg)
CHALLENGES AND ISSUES Future work
06/07/15 35 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 36: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/36.jpg)
Challenges and Issues
• Streaming technology: – ConTnuous monitoring of external data (big data). – ConTnuous training of ML components (concept driW) – Scalability issues always ma]er.
• Streaming + Linked Data? – DefiniTon of dynamic datasets. – More flexible data formats like JSON-‐LD are needed. – Scalable query processing is required !! – ConTnuous adaptaTon of datasets to BI goals. – ConTnuous adaptaTon of semanTc annotators.
06/07/15 36 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 37: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/37.jpg)
Challenges and Issues
• Data Quality and Veracity (the 4th V of Big Data) – Reliability of analyTcal data should be studied
• Other short-‐term issues: – AutomaTon of ETQ/ETLink processes. – New semanTc-‐aware OLAP queries for social BI. – Be]er integraTon of corporate and social BI. – Summarizability issues (necessary in open scenarios?) – AdaptaTon/reformulaTon of MD indexing. – Fully integrated BI plaHorms in the cloud (e.g., IBM Watson AnalyTcs).
06/07/15 37 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 38: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/38.jpg)
THANKS FOR YOUR ATTENTION QuesTons are welcome!
06/07/15 38 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 39: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/39.jpg)
References • [EROCS] Bihde, M., Chakravarthy, V., Gupta, A., Gupta, H., Mohania, M., Puniyani,
K., Roy, P., Roy, S., Sengaral, V. “Enhanced Business Intelligence using EROCS”, ICDE 2008.
• [R-‐CUBES] Pérez-‐Marynez, J.M, Berlanga R., Aramburu M.J., Pedersen, T.B. “Contextualizing data warehouses with documents”. Decision Support Systems 45(1): 77-‐94 (2008)
• [SIE-‐OBI] Castellanos, M., Gupta, C., Wang S., Dayal, U., Durazo, M. “A plaHorm for situaTonal awareness in operaTonal BI”. Decision Support Systems 52(4): 869-‐883 (2012)
• [Opinion Cubes] García-‐Moya, L., Kudama, S., Aramburu, M.J., Berlanga R. “Storing and analysing voice of the market data in the corporate data warehouse”. InformaTon Systems FronTers 15(3): 331-‐349 (2013)
• [SLOD-‐BI] Berlanga, R., García-‐Moya, L., Nebot, V., Aramburu, M.J., Sanz, I., Llidó, L. “SLOD-‐BI: An Open Data Infrastructure for Enabling Social Business Intelligence”. Inter. Journal of Data Warehousing and Mining, Vol. 11 (4): 1-‐28, 2015.
• Abelló, A., Romero, O. Pedersen, T. B., Berlanga, R., Simitsis, A., Nebot, V., Aramburu, M.J. “Using SemanTc Web Technologies for Exploratory OLAP: A Survey”, IEEE TKDE Vol 27(2), 2015.
06/07/15 39 FiWh European Business Intelligence Summer School -‐ eBISS 2015
![Page 40: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/40.jpg)
CONTEXT-AWARE BI
USE CASE
CAR RENTAL DOMAIN
Rafael Berlanga Llavori
Victoria Nebot Romero
DLSI, Universitat Jaume I, Castellón, Spain
![Page 41: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/41.jpg)
CAR RENTAL DOMAIN
Mission: cost effective and quality services
Typical management:
• Handling rental reservations (from individuals or companies)
• Handling car upgrades
• Offering the best promotional offer plans
• Changing the fleet
• Etc.
Corporate BI data:
• Rental’s cube
• Fleet’s cube
• Etc.
2
![Page 42: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/42.jpg)
CAR RENTAL DOMAIN
• Q1: number of rental
agreements per location,
product and time
• Q2: most rented vehicles by
location
3
![Page 43: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/43.jpg)
NEW DEMANDS
• Customer satisfaction: how happy are customers with the new rental
offices opened in the U.S. during the last year?
• Opinion about company’s products: what are the features that
customers value the most in the newly acquired Ford Focus fleet?
• News related to the company’s domain: how’s the merge of Fiat
and General Motors going to affect our fleet?
• News about competitors: what do customers value the most about
Sixt rental company?
4
![Page 44: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/44.jpg)
CONTEXT-AWARE BI
INFRASTRUCTURE
Rent-a-car
corporate data
Car blogs
News feeds
Twitter stream
Knowledge
resources (KRs)
5
![Page 45: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/45.jpg)
SEMANTIC
MIDDLEWARE
LOD triples (s,p,o)
RDF
6
![Page 46: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/46.jpg)
MAIN TASKS:
Extraction of sentiment data from texts
Express sentiment data as LOD (semantic middleware format )
Linking to corporate data
Semantic annotation
7
![Page 47: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/47.jpg)
SEMANTIC ANNOTATION
Semantic annotation as a means to:
• Bring meaning to both internal and external data via public KRs
• Semantic integration of DW corporate data and external data
• Explicit link to external and shared KRs
“The Mazda 5 has a useless backseat for anyone with legs”
http://babelnet.org/synset?word=bn:02438084n
8
![Page 48: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/48.jpg)
SEMANTIC ANNOTATION
Demos:
• TagME
• Dbpedia spotlight
• Wikipedia miner
• BabelNet
9
![Page 49: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/49.jpg)
EXTERNAL DATA
Opinions
• "The Prius, in all its variations, is the last car on earth I would purchase.”
• "no lithium-ion batteries? c'mon Toyota. time for a redesign of this and the Prius to incorporate that. you're falling behind in a segment that you once dominated.”
• "The Mazda 5 has a useless backseat for anyone with legs. I sat in one before and the passengers in the 2nd row have to literally smack their knees on the backs of the 1st row occupant to give 3rd row peeps any kind of leg room at all.”
• "BMW is garbage. I'd rather waste money on a Hyundai first.”
News feeds • It's Official: The Mazda CX-3 Is Most Economical Subcompact SUV
• Marchionne asks investors for help persuading GM to merge with Fiat Chrysler, report says
• Hyundai offers Google Android Auto system in cars
Car reviews
• The big points of the GT, however, are the chassis modification which creates a lower, more dynamic ride: lower = faster = cooler in car land; and the new series of mega-efficient, super-clean engines – the 1.6-litre BlueHDi 120 does an almost unbelievable 88.2 miles to the gallon with the merest whiff of CO2, just 85g per km.
10
![Page 50: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/50.jpg)
CONTEXT-AWARE BI
INFRASTRUCTURE
Rent-a-car
corporate data
Car blogs
News feeds
Twitter stream
Knowledge
resources
Semantic annotation 11
![Page 51: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/51.jpg)
OPINIONS SLOD-BI PLATFORM
Open semantic infrastructure for enabling social BI
• Transform social data to Semantic LOD BI patterns
12
![Page 52: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/52.jpg)
SLOD-BI PATTERNS
Opinion facts: observations about sentiments concerning
concrete facets about an item, along with their sentiment
indicators.
• E.g. “I don’t like the camera zoom”
• Facet “zoom”
• Item camera X
• Sentiment indicator “don’t like” (negative polarity).
Post facts: observations of published information about
some target item, which can include a series of opinion facts.
• E.g. reviews, tweets, and comments published in a social
network.
13
![Page 53: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/53.jpg)
SLOD-BI MEASURES
14
![Page 54: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/54.jpg)
STRUCTURAL VIEW
OF SLOD-BI
15
![Page 55: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/55.jpg)
EXTERNAL
VOCABULARIES
LOD
• ProductDB
• Dbpedia
• eClass
• Freebase
• BabelNet
LOV
• schema.org
• SKOS
• GoodRelations
Open Linguistic
• SenticNet
• SentiWordNet
Microdata
• eShops
• Search Engines
• Blogs
• Social Networks
16
![Page 56: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/56.jpg)
EXAMPLE IN SLOD-BI
Namespaces
dp: dbpedia.org
s: schema.org
slod:, rdfs:, owl:
17
![Page 57: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/57.jpg)
ITEMS
18
![Page 58: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/58.jpg)
POST FACTS
19
![Page 59: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/59.jpg)
OPINION FACTS
20
![Page 60: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/60.jpg)
EXAMPLE OF REVIEW
I got my car 2 months after passing my driving test, and based on the first 4 months and 9000 miles, I can conclude its brilliant … The steering is direct, full of feel, well weighted and communicative. The interior design is attractive, but clunky heater controls dissapoint. Standard kit is low, ... Rear space is acceptable for this type of car, … The styling is great, and has introduced me to loads of new people who spoke to me because they got attracted to such a swanky car, just beware, the front body kit is low.
6
mile
brilliant
Op
3
steering
well
Op
4
interior
attractive
Op
-3
heater controls
clunky
Op
-2
standard kit
low
Op
2
rear space
acceptable
Op
7
styling
great
Op
-2
Front body kit
low
Op
polarity
facet
indicator
Op. fact
21
![Page 61: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/61.jpg)
HOW IS TEXTUAL DATA TRANSFORMED
TO SLOD-BI PATTERNS?
ETLink
• Text pre-processing
• Sentiment analysis (ML and NLP)
• Vocabularies construction (García-Moya et al., 2013)
• Facets (adapted to the domain)
• Scarce LOD datasets of facets subject to opinions
• Depend on the domain
• Sentiment indicators (context-dependent)
• On domain:
• “unexpected” for movies (+), electronic devices (-)
• On facet:
• “long delay between shots” (-), “long battery life (+)
• Automatic semantic annotation and linking of data
• Tailored semantic annotation (Berlanga et al., 2015)
22
![Page 62: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/62.jpg)
CONTEXT-AWARE BI
INFRASTRUCTURE
Rent-a-car
corporate data
Car blogs
News feeds
Twitter stream
Knowledge
resouces
23
![Page 63: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/63.jpg)
DEMO
http://krono.act.uji.es/EBISS/
- Data sources
- Open IE (triplify)
- Semantic annotation
- Sentiment analysis
24
![Page 64: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/64.jpg)
SLOD-BI SENTIMENT TOPICS
Facets classified into 6 sentiment topics
• Comfortability: “inside”, “reflection”, “room”, “climate”, “park”, “arm”, …
• Safety: “reliability”, “cruise”, “weather”, “snow”, “safety”, …
• Driving perception: “driving”, “visibility”, …
• Design: “interior”, “plastic”, “alloy”, “styling”, “dashboard”, “leather”, …
• Mechanical issues: “engine”, “breaks”, “fuel”, “wheel”, “mpg”, “gearbox”,
“pedal”, …
• Price: “price”, “cost”, “money”, …
25
![Page 65: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/65.jpg)
DEMO
- SLOD-BI sparql endpoint
- SLOD-BI demo examples
http://krono.act.uji.es/EBISS/
26
![Page 66: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/66.jpg)
SPARQL QUERY
prefix slod: <http://krono.act.uji.es/datasets/ontologies/slodonto.rdf#>
prefix rdfs: <http://www.w3.org/2000/01/rdf-schema#>
prefix rdfdata: <http://rdf.data-vocabulary.org/#>
prefix sch: <http://schema.org/>
select str(?itemLabel) str(?topicLabel) avg(?polarity) where {
?postFact a slod:PostFact .
?postFact sch:itemReviewed ?item .
?item rdfs:label ?itemLabel .
?item slod:category ?cat .
FILTER regex(?cat, "Automobiles") .
?opFact slod:fromPost ?postFact .
?opFact slod:withIndicator ?sentIndicator .
?opFact slod:hasPolarity ?polarity .
?opFact slod:onFacet ?facet .
?facet slod:onTopic ?topic .
?topic rdfs:label ?topicLabel .
FILTER(langMatches(lang(?topicLabel), "EN")) }
group by ?itemLabel ?topicLabel
order by ?itemLabel
27
![Page 68: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/68.jpg)
29
![Page 69: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/69.jpg)
30
![Page 70: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/70.jpg)
NUMBER OF CAR RENTALS DURING 2013
(BLUE) VS. OPINION ABOUT DESIGN (RED)
31
![Page 71: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/71.jpg)
CHALLENGES FACED
• Static vs. dynamic infrastructure
• Continuous monitoring of external data
• Continuous training of ML algorithms
• SPARQL (endpoints)
• Limits usability (expressivity complex queries)
• Suggestion of MD queries (Nebot et al., 2014)
• Availability & scalability issues
• Timeouts, limited results, …
• Federated queries are not a reality yet
32
![Page 72: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/72.jpg)
REFERENCES
• García-Moya, L., Anaya-Sánchez, H. and Berlanga, R. (2013). A
Language Model Approach for Retrieving Product Features and
Opinions from Customer Reviews. IEEE Intelligent Systems, 28(3),
19-27.
• Berlanga, R., Nebot, V. and Pérez, M. (2015) Tailored semantic
annotation for semantic search. Web Semantics: Science, Services
and Agents on the World Wide Web, 30, 69-81.
• Nebot, V. and Berlanga R. (2014) Towards MD analytical stars from
Linked Data. In Proc. of KDIR 2014, 117-125.
33
![Page 73: ContextawareBusiness Intelligence+ · 2015. 7. 6. · Victoria Nebot Romero DLSI, Universitat Jaume I, Castellón, Spain . CAR RENTAL DOMAIN Mission: cost effective and quality services](https://reader036.fdocuments.us/reader036/viewer/2022071510/612f89131ecc515869438278/html5/thumbnails/73.jpg)
THANKS FOR YOUR
ATTENTION
QUESTIONS ARE WELCOME!
Rafael Berlanga: [email protected]
Victoria Nebot: [email protected]